~ · home · developer-tools-infra rag-pipeline-platform · 27

RAG Pipeline Platform

Query this niche via MCPmarket_report({ query: "RAG Pipeline Platform", response_mode: "summary" })
active marketmarket pulse 47/100commercial money present0 new builders in 30d27 listings
basis: all observed monthly plans · commercial-form-v2
Agents · median
$129/mo
2 providers · median of every priced plan point, all tiers · thin evidence
MCP servers · median
None priced — too few for a MCP servers median.

All plans — Agents vs MCPs

each dot = one provider · log scale
Agents $129
ragflow · $29
ragie · $100
ragflow · $129
ragie · $500
$25
$50
$100
$250
$500
AgentsMCP serversshaded = middle half · line = median

All plans

4 priced
Providervs its cohort medianMonthly
ragflowagent
$29 below
ragieagent
$100 below
ragflowagent
$129 ~median
ragieagent
$500 above
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
What the figures on this page are. This page is Agentery's fixed-niche view of RAG Pipeline Platform (latest observation 2026-10-15T03:43:03.005Z). The headline medians above are computed from that data per delivery type and buyer-tier tab: on a tier tab, the median of each provider's plan at that tier; on “All”, every priced plan point across tiers pooled. Small cohorts show as “too few” rather than a median. The embedded response below is the broader fixed-niche report: its by_provider_type.*.median pools all tiers, pricing.byPersona.* is per buyer tier, and the unit cohorts (e.g. Pro flat) are per tier and billing unit — so those blocks legitimately differ from one headline figure. Over MCP today the advertised tools are market_report (a semantic neighbourhood for your query, not this fixed niche) and price_benchmark (query/task); niche_report stays callable as a legacy alias. Their cohorts are defined differently, so their numbers can differ from this page.
market_reportprice_benchmark
See the MCP response behind this pagefixed-niche report (legacy niche_report alias, full mode) — broader than the headline figure
{
  "niche": "rag-pipeline-platform",
  "parent_sector": "developer-tools-infra",
  "provider_type_pricing": {
    "slug": "rag-pipeline-platform",
    "pricing_basis": "lowest_observed_monthly_usd",
    "provider_type_methodology": "commercial-form-v2",
    "provider_type_methodology_published_at": "2026-07-31",
    "blended": {
      "median": 64.5,
      "p25": null,
      "p75": null,
      "providers": 2
    },
    "by_provider_type": {
      "agent": {
        "median": null,
        "p25": null,
        "p75": null,
        "providers": 2,
        "publishable": false,
        "confidence": "insufficient",
        "reason": "Fewer than three comparable priced Agent-economy products are available."
      },
      "mcp": {
        "median": null,
        "p25": null,
        "p75": null,
        "providers": 0,
        "publishable": false,
        "confidence": "insufficient",
        "reason": "Fewer than three comparable priced MCP servers are available."
      }
    },
    "recommended_cohort": null,
    "recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
    "fallback_context": null,
    "context_note": null
  },
  "crowding_level": "crowded",
  "observed_node_count": 7,
  "adjacent_niches": [
    "ai-frontend-coding",
    "mcp-platform-provider",
    "incident-response-sre",
    "legacy-code-modernization",
    "database-query-agent",
    "on-call-management-agent"
  ],
  "market_pulse": {
    "pulse": 47,
    "drivers": [
      "enterprise money present",
      "1 new builder in 30d"
    ],
    "price_move_30d_pct": null,
    "money_share": 0.3333333333333333,
    "entry_rate": 0.030303030303030304,
    "alive_share": 1
  },
  "price_move": {
    "d_pct": 0,
    "w_pct": 0,
    "m_pct": 0,
    "comparable_agents": 3,
    "quarantined_agents": 0,
    "confidence": "high",
    "published": {
      "d": false,
      "w": false,
      "m": false
    },
    "held_reason": {
      "d": null,
      "w": null,
      "m": null
    },
    "driver": {
      "d": null,
      "w": null,
      "m": null
    },
    "tier_contribution": {
      "d": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "w": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "m": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      }
    },
    "tier_series": {
      "individual": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100
      ],
      "pro": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100
      ],
      "team_sme": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100
      ],
      "enterprise": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100
      ]
    },
    "tier_own_move": {
      "d": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "w": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "m": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      }
    },
    "tier_agents": {
      "individual": 2,
      "pro": 3,
      "team_sme": 1,
      "enterprise": 1
    },
    "obs_range": {
      "d": null,
      "w": null,
      "m": null
    },
    "tier_obs_range": {
      "d": {
        "individual": null,
        "pro": null,
        "team_sme": null,
        "enterprise": null
      },
      "w": {
        "individual": null,
        "pro": null,
        "team_sme": null,
        "enterprise": null
      },
      "m": {
        "individual": null,
        "pro": null,
        "team_sme": null,
        "enterprise": null
      }
    }
  },
  "pricing": {
    "sampleSize": 28,
    "observed": 9,
    "byPersona": {
      "free": {
        "n": 8,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
        "p75": null,
        "min": null,
        "max": null,
        "mean": null,
        "stdev": null,
        "usageShare": 0.13
      },
      "individual": {
        "n": 4,
        "nPriced": 3,
        "reliability": "low",
        "median": 29,
        "p25": 14.51,
        "p75": 64.5,
        "min": 0.01,
        "max": 100,
        "mean": 43,
        "stdev": 51.44,
        "usageShare": 0.25
      },
      "pro": {
        "n": 6,
        "nPriced": 2,
        "reliability": "low",
        "median": 314.5,
        "p25": 221.75,
        "p75": 407.25,
        "min": 129,
        "max": 500,
        "mean": 314.5,
        "stdev": 262.34,
        "usageShare": 0
      },
      "team_sme": {
        "n": 6,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
        "p75": null,
        "min": null,
        "max": null,
        "mean": null,
        "stdev": null,
        "usageShare": 0
      },
      "enterprise": {
        "n": 4,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
        "p75": null,
        "min": null,
        "max": null,
        "mean": null,
        "stdev": null,
        "usageShare": 0
      }
    },
    "byPersonaMonthly": {
      "free": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0.13,
        "mixedBilling": true,
        "monthlyComparable": false
      },
      "individual": {
        "nMonthly": 2,
        "p25": 46.75,
        "median": 64.5,
        "p75": 82.25,
        "confidence": "low",
        "usageShare": 0.25,
        "mixedBilling": true,
        "monthlyComparable": true
      },
      "pro": {
        "nMonthly": 2,
        "p25": 221.75,
        "median": 314.5,
        "p75": 407.25,
        "confidence": "low",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": true
      },
      "team_sme": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "enterprise": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      }
    },
    "byTierCohorts": {
      "status": "ok",
      "cohorts": [
        {
          "tier": "individual",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 64.5,
          "provider_count": 2,
          "plan_observation_count": 2,
          "data_confidence": 0.15,
          "data_confidence_basis": {
            "provider_component": 0.17,
            "observation_component": 0.1,
            "provider_count": 2,
            "plan_observation_count": 2
          },
          "reliability": "low",
          "members": [
            {
              "provider": "ragflow",
              "usd": 29
            },
            {
              "provider": "ragie",
              "usd": 100
            }
          ]
        },
        {
          "tier": "pro",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 314.5,
          "provider_count": 2,
          "plan_observation_count": 2,
          "data_confidence": 0.15,
          "data_confidence_basis": {
            "provider_component": 0.17,
            "observation_component": 0.1,
            "provider_count": 2,
            "plan_observation_count": 2
          },
          "reliability": "low",
          "members": [
            {
              "provider": "ragflow",
              "usd": 129
            },
            {
              "provider": "ragie",
              "usd": 500
            }
          ]
        }
      ],
      "rejected": {
        "ambiguous_cadence": 2,
        "usage_not_monthly": 1,
        "free_or_zero": 1,
        "one_time": 12
      },
      "evidence": {
        "status": "ok",
        "single_observations": [],
        "observed_offers": [
          {
            "billing": "monthly",
            "unit": "flat",
            "count": 4,
            "offers": [
              {
                "provider": "ragflow",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$29/month",
                "monthly_usd": 29
              },
              {
                "provider": "ragflow",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$129/month",
                "monthly_usd": 129
              },
              {
                "provider": "ragie",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$100 / month",
                "monthly_usd": 100
              },
              {
                "provider": "ragie",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$500 / month",
                "monthly_usd": 500
              }
            ]
          },
          {
            "billing": "one_time",
            "unit": "flat",
            "count": 12,
            "offers": [
              {
                "provider": "jcodemunch_mcp",
                "tier": "pro",
                "billing": "one_time",
                "unit": "flat",
                "price": "$99",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "pro",
                "billing": "one_time",
                "unit": "flat",
                "price": "$79",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "pro",
                "billing": "one_time",
                "unit": "flat",
                "price": "$29",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "pro",
                "billing": "one_time",
                "unit": "flat",
                "price": "$39",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$449",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$349",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$99",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$149",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "enterprise",
                "billing": "one_time",
                "unit": "flat",
                "price": "$2,499",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "enterprise",
                "billing": "one_time",
                "unit": "flat",
                "price": "$1,999",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$499",
                "monthly_usd": null
              },
              {
                "provider": "jcodemunch_mcp",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$499",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "usage",
            "unit": "flat",
            "count": 1,
            "offers": [
              {
                "provider": "pageindex",
                "tier": "individual",
                "billing": "usage",
                "unit": "flat",
                "price": "$0.01 / page",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "unspecified_period",
            "unit": "flat",
            "count": 2,
            "offers": [
              {
                "provider": "ragflow",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Contact us",
                "monthly_usd": null
              },
              {
                "provider": "ragie",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom pricing",
                "monthly_usd": null
              }
            ]
          }
        ],
        "coverage": {
          "priced_providers": 4,
          "normalized_observations": 4,
          "comparable_providers": 2,
          "strict_cohorts": 2,
          "exclusion_reasons": {
            "ambiguous_cadence": 2,
            "usage_not_monthly": 1,
            "free_or_zero": 1,
            "one_time": 12
          }
        }
      }
    },
    "quoteOnlyProvidersByTier": {
      "individual": 0,
      "pro": 0,
      "enterprise": 2,
      "team_sme": 0
    },
    "billingMix": {
      "free": 3,
      "one-time": 2,
      "freemium": 3,
      "usage": 1
    },
    "freeTierShare": 0.67,
    "medianLowestUsd": 64.5
  },
  "movement": {
    "niche": "rag-pipeline-platform",
    "sector": "developer-tools-infra",
    "pricedNow": 2,
    "pairs": 2,
    "repriced": [],
    "newlyPriced": [],
    "droppedFromPriced": [
      "jcodemunch_mcp"
    ],
    "likeForLikePct": 0,
    "kind": "composition",
    "narrative": "Composition change (average moved, but no agent changed its price): 1 stopped showing a public price."
  },
  "index_series": {
    "series": [
      {
        "day": "2026-09-16",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-17",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-18",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-19",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-20",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-21",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-22",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-23",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-24",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-25",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-26",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-27",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-28",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-29",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-30",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-01",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-02",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-03",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-04",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-05",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-06",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-07",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-08",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-09",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-10",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-11",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-12",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-13",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-14",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-15",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      }
    ],
    "latest": 100,
    "day_change_pct": 0,
    "methodology": "Chained daily price index, base 100 on the first priced scan day (29 Jun 2026). The overall index is the COMPOSITE of the four buyer-tier indices (individual / pro / team&sme / enterprise): each day it moves by the equal-weighted average of the tiers' moves. Each tier index is like-for-like — only agents priced on both consecutive scan days (per-agent ratios, geometric mean, clipped to [0.2, 5]) — so composition changes (agents revealing or hiding prices) can never move it."
  },
  "top_agents": [
    {
      "agent_id": "nexla",
      "name": "Enterprise AI agent platform",
      "url": "https://nexla.com/rag/",
      "short_summary": "Provides agentic Retrieval-Augmented Generation over enterprise data, dynamically deciding which data products (nexsets) to query, searching, reasoning, and re…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is shown for Nexla Agentic RAG on the supplied homepage."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "ragflow",
      "name": "Ragflow",
      "url": "https://ragflow.io/",
      "short_summary": "Provides a RAG engine and agent orchestration platform that ingests/processes multi-format data, performs hybrid retrieval, and runs agentic workflows (e.g. in…",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Starter",
            "monthly_native": 29,
            "monthly_usd": 29,
            "commitment": "monthly",
            "basis": "$29/month",
            "billing_verified": true
          },
          "currency": "USD",
          "lines": [
            {
              "name": "Free",
              "price": "$0/month",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Starter",
              "price": "$29/month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Pro",
              "price": "$129/month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Enterprise",
              "price": "Contact us",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 29,
        "monthly_usd": 29,
        "headline": "Free plan; paid from $29/mo",
        "summary": "Free plan; paid from $29/mo. Freemium SaaS with a free tier ($0/month) and paid plans starting at $29/month, plus enterprise options available on request."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "ragie",
      "name": "Ragie",
      "url": "https://www.ragie.ai/",
      "short_summary": "Provides managed RAG infrastructure: indexes and retrieves content, parses documents, and extracts structured entities to deliver context to AI agents and apps",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Starter",
            "monthly_native": 100,
            "monthly_usd": 100,
            "commitment": "monthly",
            "basis": "$100/month",
            "billing_verified": true
          },
          "currency": "USD",
          "lines": [
            {
              "name": "Developer",
              "price": "Free",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Starter",
              "price": "$100 / month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Pro",
              "price": "$500 / month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Enterprise",
              "price": "Custom pricing",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 100,
        "monthly_usd": 100,
        "headline": "Free plan; paid from $100/mo",
        "summary": "Free plan; paid from $100/mo. Ragie offers a free Developer tier, $100/month Starter and $500/month Pro subscriptions, plus custom-priced Enterprise plans and usage-based add-ons."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "pageindex",
      "name": "Pageindex",
      "url": "https://pageindex.ai/",
      "short_summary": "indexes and retrieves precise, verifiable answers from complex documents using vectorless, reasoning-based RAG",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Active pages",
            "monthly_native": 0,
            "monthly_usd": 0.001,
            "commitment": "monthly",
            "basis": "$0 per page/month × 1",
            "billing_verified": true
          },
          "rates": [
            {
              "line": "Indexing",
              "per": "per page",
              "text": "$0.01 per page"
            }
          ],
          "currency": "USD",
          "lines": [
            {
              "name": "Free Starter",
              "price": "$0.00 / mo",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Indexing",
              "price": "$0.01 / page",
              "kind": "usage_rate",
              "unit": "page",
              "billed": "usage"
            },
            {
              "name": "Active pages",
              "price": "$0.001 / page / mo",
              "kind": "base_subscription",
              "unit": "page",
              "billed": "monthly"
            },
            {
              "name": "Retrieval",
              "price": "Unlimited",
              "kind": "unknown"
            }
          ]
        },
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": 0.001,
        "monthly_usd": 0.001,
        "headline": "Free plan; paid from $0/mo ($0 per page/month × 1)",
        "summary": "Free plan; paid from $0/mo ($0 per page/month × 1). PageIndex Cloud uses usage-based billing, with $10 in free credits, 1,000 active pages free monthly, and no minimum monthly cost."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "prem_mcp_server",
      "name": "Prem AI MCP Server",
      "url": "https://premai.io/",
      "short_summary": "provides private AI inference and document management with retrieval-augmented generation capabilities",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "ragfeed",
      "name": "Ragfeed",
      "url": "https://ragfeed.de/claude",
      "short_summary": "Fetch web pages, PDFs and search results as compact, LLM-ready Markdown or ready-made chunks for vector databases (RAG).\n\n**Tools:** scrape a page, search the…",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": [
            {
              "name": "Kostenlos",
              "price": "kostenlos",
              "kind": "unknown"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Kostenlos: kostenlos (as published; no rate or period could be read)",
        "summary": "Kostenlos: kostenlos (as published; no rate or period could be read). Ragfeed provides a free account with 1,000 credits per month, while paid plans are mentioned but their public prices are not shown."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "adk_mcp_rag",
      "name": "Adk Mcp Rag",
      "url": "https://github.com/khoi03/adk-mcp-rag",
      "short_summary": "Retrieval-Augmented Generation system combining Google's Agent Development Kit with Qdrant vector database via MCP server for semantic search and context-enhan…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing information is shown for this open-source repository."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "claude_qdrant_mcp",
      "name": "Claude Qdrant",
      "url": "https://github.com/marlian/claude-qdrant-mcp",
      "short_summary": "Local-first TypeScript MCP server for Qdrant vector database with multi-client isolation, LM Studio integration, and enterprise document processing for RAG wor…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is shown for this open-source Qdrant MCP project."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "code_context_engine",
      "name": "Code Context Engine",
      "url": "https://elara-labs.github.io/code-context-engine/",
      "short_summary": "Local MCP server that indexes codebases with AST-aware chunking and semantic search, reducing AI coding agent token usage by 94%. Works with Claude, Cursor, Co…",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": [
            {
              "name": "Code Context Engine",
              "price": "$0",
              "kind": "free",
              "billed": "monthly"
            }
          ]
        },
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "Free. Code Context Engine is presented as a $0 local MCP server for AI coding agents."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "codebase_rag",
      "name": "Codebase Rag",
      "url": "https://github.com/bluewings1211/codebase-RAG",
      "short_summary": "MCP server providing semantic search and RAG over codebases. Indexes local directories or GitHub repos into vector DB, enabling LLMs to retrieve code snippets…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing was found for this open-source Codebase RAG repository."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [
    {
      "agent_id": "abcdatawork",
      "name": "Abcdatawork",
      "url": "https://abcdatawork.com/",
      "short_summary": "AI infrastructure and data platform engineering company. Builds production-ready RAG pipelines, MCP servers, distributed systems, and GPU-optimized inference i…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "home_niche": "ai-data-platform",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "dify",
      "name": "Dify",
      "url": "https://dify.ai",
      "short_summary": "Platform to build, deploy and scale AI agents and agentic workflows, including RAG pipelines and LLM applications",
      "price": {
        "observed": false,
        "billing": "freemium",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "Dify offers permanent free Sandbox and Community options, paid Professional and Team tiers with prices not clearly captured, and custom Enterprise pricing."
      },
      "home_niche": "agent-builder-no-code",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "elasticsearch",
      "name": "Elasticsearch",
      "url": "https://www.elastic.co/elasticsearch",
      "short_summary": "Distributed search and analytics engine with native AI agent capabilities, vector database, and workflow automation for building context-aware agents and retri…",
      "price": {
        "commercial": {
          "rates": [
            {
              "line": "Serverless Search Ingest",
              "per": "per hour",
              "text": "$0.14 per hour"
            },
            {
              "line": "Serverless Search Search",
              "per": "per hour",
              "text": "$0.09 per hour"
            },
            {
              "line": "Serverless Search Machine Learning",
              "per": "per hour",
              "text": "$0.07 per hour"
            },
            {
              "line": "Serverless Search Storage & Retention",
              "per": "per unit",
              "text": "$0.05 per unit"
            },
            {
              "line": "Serverless Search Egress",
              "per": "per unit",
              "text": "$0.05 per unit"
            },
            {
              "line": "Elastic Managed LLM Input",
              "per": "per unit",
              "text": "$4.5 per unit"
            },
            {
              "line": "Elastic Managed LLM Output",
              "per": "per unit",
              "text": "$21 per unit"
            },
            {
              "line": "Elastic Inference Service",
              "per": "per unit",
              "text": "$0.08 per unit"
            },
            {
              "line": "Workflows",
              "per": "per unit",
              "text": "$0.01 per unit"
            },
            {
              "line": "Agent Builder",
              "per": "per unit",
              "text": "$0.03 per unit"
            },
            {
              "line": "Cross-project search retained",
              "per": "per unit",
              "text": "$0 per unit"
            },
            {
              "line": "Cross-project search transferred",
              "per": "per unit",
              "text": "$0.05 per unit"
            },
            {
              "line": "Security Analytics Essentials Ingest",
              "per": "per unit",
              "text": "$0.09 per unit"
            },
            {
              "line": "Security Analytics Complete Ingest",
              "per": "per unit",
              "text": "$0.11 per unit"
            },
            {
              "line": "Security Analytics Essentials Retention",
              "per": "per unit",
              "text": "$0.02 per unit"
            },
            {
              "line": "Security Analytics Complete Retention",
              "per": "per unit",
              "text": "$0.02 per unit"
            },
            {
              "line": "Security Analytics Egress",
              "per": "per unit",
              "text": "$0.05 per unit"
            },
            {
              "line": "Cloud Protection CSPM Essentials",
              "per": "per unit",
              "text": "$0.65 per unit"
            },
            {
              "line": "Cloud Protection CSPM Complete",
              "per": "per unit",
              "text": "$0.65 per unit"
            },
            {
              "line": "Cloud Workload Protection Essentials",
              "per": "per unit",
              "text": "$0.41 per unit"
            },
            {
              "line": "Cloud Workload Protection Complete",
              "per": "per unit",
              "text": "$0.49 per unit"
            },
            {
              "line": "EASE Ingest",
              "per": "per unit",
              "text": "$0.11 per unit"
            },
            {
              "line": "EASE Retention",
              "per": "per unit",
              "text": "$0.02 per unit"
            }
          ],
          "currency": "USD",
          "lines": [
            {
              "name": "Serverless Search Ingest",
              "price": "$0.14",
              "kind": "usage_rate",
              "unit": "hour",
              "billed": "usage"
            },
            {
              "name": "Serverless Search Search",
              "price": "$0.09",
              "kind": "usage_rate",
              "unit": "hour",
              "billed": "usage"
            },
            {
              "name": "Serverless Search Machine Learning",
              "price": "$0.07",
              "kind": "usage_rate",
              "unit": "hour",
              "billed": "usage"
            },
            {
              "name": "Serverless Search Storage & Retention",
              "price": "$0.047",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Serverless Search Egress",
              "price": "$0.05",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Elastic Managed LLM Input",
              "price": "$4.50",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Elastic Managed LLM Output",
              "price": "$21",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Elastic Inference Service",
              "price": "$0.08",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Workflows",
              "price": "$0.0108",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Agent Builder",
              "price": "$0.025",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Cross-project search retained",
              "price": "$0.0023",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Cross-project search transferred",
              "price": "$0.05",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Security Analytics Essentials Ingest",
              "price": "$0.09",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Security Analytics Complete Ingest",
              "price": "$0.11",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Security Analytics Essentials Retention",
              "price": "$0.017",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Security Analytics Complete Retention",
              "price": "$0.019",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Security Analytics Egress",
              "price": "$0.05",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Cloud Protection CSPM Essentials",
              "price": "$0.65",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Cloud Protection CSPM Complete",
              "price": "$0.65",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Cloud Workload Protection Essentials",
              "price": "$0.41",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "Cloud Workload Protection Complete",
              "price": "$0.49",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "EASE Ingest",
              "price": "$0.11",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            },
            {
              "name": "EASE Retention",
              "price": "$0.019",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            }
          ]
        },
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "$0.14 per hour; $0.09 per hour (usage-based)",
        "summary": "$0.14 per hour; $0.09 per hour (usage-based). Elastic publishes usage-based pricing for serverless search, security, AI, and related services, with rates based on VCUs, data volume, assets, tokens, or executions rather than fixed monthly subscriptions."
      },
      "home_niche": "enterprise-ai-search",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "forwardcodesolutions",
      "name": "Forwardcodesolutions",
      "url": "https://github.com/ForwardCodeSolutions",
      "short_summary": "Developer of AI agent orchestration engines and security tools. Offers lightweight AI agent engine with YAML workflows, multi-LLM routing, RAG engine with vect…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is shown on the supplied GitHub homepage."
      },
      "home_niche": "agent-orchestration-platform",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "llamaindex",
      "name": "LlamaParse",
      "url": "https://www.llamaindex.ai/",
      "short_summary": "Parses and processes complex documents using agentic OCR — extracting text, tables, charts, and handwriting into LLM-ready structured outputs",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Starter",
            "monthly_native": 50,
            "monthly_usd": 50,
            "commitment": "monthly",
            "basis": "$50/month",
            "billing_verified": true
          },
          "rates": [
            {
              "line": "Credit usage",
              "per": "per unit",
              "text": "$1,000 per unit"
            }
          ],
          "currency": "USD",
          "lines": [
            {
              "name": "Free",
              "price": "$0/month",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Starter",
              "price": "$50/month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Pro",
              "price": "$500/month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Enterprise",
              "price": "Custom",
              "kind": "custom"
            },
            {
              "name": "Credit usage",
              "price": "1,000 credits = $1.25.",
              "kind": "usage_rate",
              "unit": "unit",
              "billed": "usage"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 50,
        "monthly_usd": 50,
        "headline": "Free plan; paid from $50/mo",
        "summary": "Free plan; paid from $50/mo. LlamaParse offers a free plan with 10K monthly credits, paid monthly Starter and Pro plans at $50 and $500, usage-based credits, and custom Enterprise pricing."
      },
      "home_niche": "document-processing-agent",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "lm_kit_document_intelligence",
      "name": "Lm Kit Document Intelligence",
      "url": "https://lm-kit.com/solutions/document-intelligence/chat-with-pdf",
      "short_summary": "Local AI document processing for .NET developers. Chat with PDFs, extract structured data, perform OCR, and analyze documents using on-device models. Includes…",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": [
            {
              "name": "Free",
              "price": "$0",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Professional",
              "price": "Custom",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free plan; paid plans by quote",
        "summary": "Free plan; paid plans by quote. LM-Kit offers a permanent $0 plan for qualifying organizations, while Professional licensing is custom-priced annually based on application or deployment scope."
      },
      "home_niche": "document-processing-agent",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "neo4j_aura_agent",
      "name": "Neo4j Aura Agent",
      "url": "https://neo4j.com/product/aura-agent",
      "short_summary": "Cloud platform for building and deploying AI agents grounded in knowledge graphs. Provides low/no-code tools for creating context-aware agents with GraphRAG ca…",
      "price": {
        "commercial": {
          "rates": [
            {
              "line": "AuraDB Professional",
              "per": "per hour",
              "text": "$0.09 per hour"
            },
            {
              "line": "AuraDB Business Critical",
              "per": "per hour",
              "text": "$0.2 per hour"
            }
          ],
          "currency": "USD",
          "lines": [
            {
              "name": "AuraDB Free",
              "price": "$0",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "AuraDB Professional",
              "price": "$0.09 /GB/hour*",
              "kind": "usage_rate",
              "unit": "hour",
              "billed": "usage"
            },
            {
              "name": "AuraDB Business Critical",
              "price": "$0.20 /GB/hour*",
              "kind": "usage_rate",
              "unit": "hour",
              "billed": "usage"
            },
            {
              "name": "AuraDB Virtual Dedicated Cloud",
              "price": "Contact Us",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "$0.09 per hour; $0.2 per hour (usage-based)",
        "summary": "$0.09 per hour; $0.2 per hour (usage-based). Neo4j publicly lists a free AuraDB tier, usage-based Professional and Business Critical rates of $0.09 and $0.20 per GB/hour, and a contact-sales Virtual Dedicated Cloud plan."
      },
      "home_niche": "agent-builder-no-code",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "neurolink",
      "name": "Neurolink",
      "url": "https://www.neurolink.ink",
      "short_summary": "TypeScript framework providing unified interface for 24+ LLM providers with MCP-native support (58+ servers), voice capabilities (TTS/STT/realtime), RAG, memor…",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": [
            {
              "name": "Unnamed offer",
              "price": "0USD",
              "kind": "free",
              "billed": "monthly"
            }
          ]
        },
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "Free. Structured data lists an unnamed USD 0 offer, but no billing period or plan details are publicly shown."
      },
      "home_niche": "agent-framework-open-source",
      "also_covers": true,
      "upvotes": 0
    }
  ],
  "page_url": "https://agentery.com/market/rag-pipeline-platform",
  "summary": {
    "niche": "rag-pipeline-platform",
    "sector": "developer-tools-infra",
    "pricing_by_provider_type": {
      "headline": "No published benchmark for rag-pipeline-platform yet — too few comparable priced providers. Observed offers are listed.",
      "benchmarks": [
        {
          "provider_type": "agent",
          "provider_type_label": "Agents",
          "buyer_tier": "individual",
          "buyer_tier_label": "Individual",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 2,
          "reliability": "low",
          "median": null,
          "p25": null,
          "p75": null,
          "status": "observed_offers_only",
          "observed_offers": [
            29,
            100
          ]
        },
        {
          "provider_type": "agent",
          "provider_type_label": "Agents",
          "buyer_tier": "pro",
          "buyer_tier_label": "Pro",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 2,
          "reliability": "low",
          "median": null,
          "p25": null,
          "p75": null,
          "status": "observed_offers_only",
          "observed_offers": [
            129,
            500
          ]
        }
      ],
      "warnings": [],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "rag-pipeline-platform"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/rag-pipeline-platform",
    "counts": {
      "listings_with_price_capture": 28,
      "listings_with_observed_public_price": 9,
      "providers_with_numeric_monthly_price_latest_scan": 2,
      "like_for_like_comparable_pairs": 2
    },
    "movement": {
      "d": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "w": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "m": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      }
    },
    "pricing_version": "cohorts-1",
    "pricing_status": "ok",
    "pricing_by_tier": [
      {
        "tier": "individual",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 64.5,
        "provider_count": 2,
        "plan_observation_count": 2,
        "data_confidence": 0.15,
        "data_confidence_basis": {
          "provider_component": 0.17,
          "observation_component": 0.1,
          "provider_count": 2,
          "plan_observation_count": 2
        },
        "reliability": "low",
        "members": [
          {
            "provider": "ragflow",
            "usd": 29
          },
          {
            "provider": "ragie",
            "usd": 100
          }
        ]
      },
      {
        "tier": "pro",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 314.5,
        "provider_count": 2,
        "plan_observation_count": 2,
        "data_confidence": 0.15,
        "data_confidence_basis": {
          "provider_component": 0.17,
          "observation_component": 0.1,
          "provider_count": 2,
          "plan_observation_count": 2
        },
        "reliability": "low",
        "members": [
          {
            "provider": "ragflow",
            "usd": 129
          },
          {
            "provider": "ragie",
            "usd": 500
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 28,
      "listings_with_observed_public_price": 9,
      "normalized_observations": 4,
      "comparable_providers": 2,
      "strict_cohorts": 2,
      "exclusion_reasons": {
        "ambiguous_cadence": 2,
        "usage_not_monthly": 1,
        "free_or_zero": 1,
        "one_time": 12
      }
    },
    "pricing_note": "Provider-deduped, FX-normalized monthly medians, separated by buyer tier AND billing unit (flat/per_seat/per_user/per_agent) — incompatible units are never blended. Ranges (p25/p75) only at >=5 providers; data_confidence is provider-count-weighted. Usage-metered, promo, range, one-time and ambiguous-cadence plans are excluded.",
    "pricing_excluded_observations": {
      "ambiguous_cadence": 2,
      "usage_not_monthly": 1,
      "free_or_zero": 1,
      "one_time": 12
    },
    "billing_mix": {
      "free": 3,
      "one-time": 2,
      "freemium": 3,
      "usage": 1
    },
    "free_tier_share": 0.67,
    "top_providers": [
      {
        "agent_id": "nexla",
        "name": "Enterprise AI agent platform",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public pricing is shown for Nexla Agentic RAG on the supplied homepage."
        },
        "observed": false
      },
      {
        "agent_id": "ragflow",
        "name": "Ragflow",
        "price": {
          "commercial": {
            "entry_offer": {
              "line": "Starter",
              "monthly_native": 29,
              "monthly_usd": 29,
              "commitment": "monthly",
              "basis": "$29/month",
              "billing_verified": true
            },
            "currency": "USD",
            "lines": [
              {
                "name": "Free",
                "price": "$0/month",
                "kind": "free",
                "billed": "monthly"
              },
              {
                "name": "Starter",
                "price": "$29/month",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Pro",
                "price": "$129/month",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Enterprise",
                "price": "Contact us",
                "kind": "custom"
              }
            ]
          },
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 29,
          "monthly_usd": 29,
          "headline": "Free plan; paid from $29/mo",
          "summary": "Free plan; paid from $29/mo. Freemium SaaS with a free tier ($0/month) and paid plans starting at $29/month, plus enterprise options available on request."
        },
        "observed": true
      },
      {
        "agent_id": "ragie",
        "name": "Ragie",
        "price": {
          "commercial": {
            "entry_offer": {
              "line": "Starter",
              "monthly_native": 100,
              "monthly_usd": 100,
              "commitment": "monthly",
              "basis": "$100/month",
              "billing_verified": true
            },
            "currency": "USD",
            "lines": [
              {
                "name": "Developer",
                "price": "Free",
                "kind": "free",
                "billed": "monthly"
              },
              {
                "name": "Starter",
                "price": "$100 / month",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Pro",
                "price": "$500 / month",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Enterprise",
                "price": "Custom pricing",
                "kind": "custom"
              }
            ]
          },
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 100,
          "monthly_usd": 100,
          "headline": "Free plan; paid from $100/mo",
          "summary": "Free plan; paid from $100/mo. Ragie offers a free Developer tier, $100/month Starter and $500/month Pro subscriptions, plus custom-priced Enterprise plans and usage-based add-ons."
        },
        "observed": true
      },
      {
        "agent_id": "pageindex",
        "name": "Pageindex",
        "price": {
          "commercial": {
            "entry_offer": {
              "line": "Active pages",
              "monthly_native": 0,
              "monthly_usd": 0.001,
              "commitment": "monthly",
              "basis": "$0 per page/month × 1",
              "billing_verified": true
            },
            "rates": [
              {
                "line": "Indexing",
                "per": "per page",
                "text": "$0.01 per page"
              }
            ],
            "currency": "USD",
            "lines": [
              {
                "name": "Free Starter",
                "price": "$0.00 / mo",
                "kind": "free",
                "billed": "monthly"
              },
              {
                "name": "Indexing",
                "price": "$0.01 / page",
                "kind": "usage_rate",
                "unit": "page",
                "billed": "usage"
              },
              {
                "name": "Active pages",
                "price": "$0.001 / page / mo",
                "kind": "base_subscription",
                "unit": "page",
                "billed": "monthly"
              },
              {
                "name": "Retrieval",
                "price": "Unlimited",
                "kind": "unknown"
              }
            ]
          },
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": 0.001,
          "monthly_usd": 0.001,
          "headline": "Free plan; paid from $0/mo ($0 per page/month × 1)",
          "summary": "Free plan; paid from $0/mo ($0 per page/month × 1). PageIndex Cloud uses usage-based billing, with $10 in free credits, 1,000 active pages free monthly, and no minimum monthly cost."
        },
        "observed": true
      },
      {
        "agent_id": "prem_mcp_server",
        "name": "Prem AI MCP Server",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public price found on the vendor site."
        },
        "observed": false
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "rag-pipeline-platform"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "rag-pipeline-platform",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "nexla"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "nexla"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}
Full market

7 providers, one sortable view

Dense enough for many listings; progressive disclosure keeps mobile usable.

ProviderTypeFromVs niche medianLiveness
RagflowProvides a RAG engine and agent orchestration platform that ingests/processes multi-format data, performs hybrid retrieval, and runs agentic workflows (e.g. in…
mcp$29from / mo90.8% below88% livemcp90.8% below median88% live
RagieProvides managed RAG infrastructure: indexes and retrieves content, parses documents, and extracts structured entities to deliver context to AI agents and apps
mcp$100from / mo68.2% below88% livemcp68.2% below median88% live
Pageindexindexes and retrieves precise, verifiable answers from complex documents using vectorless, reasoning-based RAG
mcp$0.00from / mo100% below88% livemcp100% below median88% live
RagfeedFetch web pages, PDFs and search results as compact, LLM-ready Markdown or ready-made chunks for vector databases (RAG). **Tools:** scrape a page, search the…
mcpFree tierpaid plans vary—livemcplive
Code Context EngineLocal MCP server that indexes codebases with AST-aware chunking and semantic search, reducing AI coding agent token usage by 94%. Works with Claude, Cursor, Co…
mcpFreefree to use—88% livemcp88% live
ContextmcpSelf-hosted MCP server that indexes documentation from multiple sources and provides AI agents with up-to-date, semantically-aware context using AST-based chun…
mcpFreefree to use—88% livemcp88% live
RtfmOpen-source MCP retrieval server that indexes code, docs, and data into a local SQLite knowledge base to provide surgical context to AI coding agents like Clau…
mcpFreefree to use—88% livemcp88% live
Showing only providers with a published price or a free plan. $29 = lowest observed monthly · Free = free to use · Free tier = free plan + paid options.