Prompt Management Platform

{
  "niche": "prompt-management-platform",
  "parent_sector": "developer-tools-infra",
  "provider_type_pricing": {
    "slug": "prompt-management-platform",
    "pricing_basis": "lowest_observed_monthly_usd",
    "provider_type_methodology": "commercial-form-v2",
    "provider_type_methodology_published_at": "2026-07-31",
    "blended": {
      "median": 10,
      "p25": 9,
      "p75": 19,
      "providers": 13
    },
    "by_provider_type": {
      "agent": {
        "median": 33.25,
        "p25": null,
        "p75": null,
        "providers": 4,
        "publishable": true,
        "confidence": "provisional"
      },
      "mcp": {
        "median": 9.99,
        "p25": null,
        "p75": null,
        "providers": 9,
        "publishable": true,
        "confidence": "moderate"
      }
    },
    "recommended_cohort": null,
    "recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
    "fallback_context": null,
    "context_note": null
  },
  "crowding_level": "sparse",
  "observed_node_count": 2,
  "adjacent_niches": [
    "ai-frontend-coding",
    "mcp-platform-provider",
    "incident-response-sre",
    "on-call-management-agent",
    "database-query-agent",
    "infrastructure-provisioning-iac"
  ],
  "market_pulse": {
    "pulse": 46,
    "drivers": [
      "enterprise money present",
      "5 new builders in 30d"
    ],
    "price_move_30d_pct": 2.3,
    "money_share": 0.25,
    "entry_rate": 0.10869565217391304,
    "alive_share": 0.9772727272727273
  },
  "price_move": {
    "d_pct": 0,
    "w_pct": 0,
    "m_pct": 0,
    "comparable_agents": 13,
    "quarantined_agents": 1,
    "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
      ],
      "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
      ],
      "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
      ],
      "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
      ]
    },
    "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": 7,
      "pro": 10,
      "team_sme": 4,
      "enterprise": 0
    },
    "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": 41,
    "observed": 20,
    "byPersona": {
      "free": {
        "n": 13,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
        "p75": null,
        "min": null,
        "max": null,
        "mean": null,
        "stdev": null,
        "usageShare": 0.08
      },
      "individual": {
        "n": 12,
        "nPriced": 8,
        "reliability": "medium",
        "median": 9.5,
        "p25": 6.78,
        "p75": 12.25,
        "min": 0.1,
        "max": 19,
        "mean": 9.53,
        "stdev": 7.15,
        "usageShare": 0.42
      },
      "pro": {
        "n": 14,
        "nPriced": 11,
        "reliability": "medium",
        "median": 47.5,
        "p25": 14.99,
        "p75": 74,
        "min": 4.99,
        "max": 259,
        "mean": 60.77,
        "stdev": 73.82,
        "usageShare": 0
      },
      "team_sme": {
        "n": 5,
        "nPriced": 4,
        "reliability": "low",
        "median": 199,
        "p25": 121.5,
        "p75": 311.75,
        "min": 39,
        "max": 500,
        "mean": 234.25,
        "stdev": 196.83,
        "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": 0.08,
        "mixedBilling": true,
        "monthlyComparable": false
      },
      "individual": {
        "nMonthly": 4,
        "p25": 9,
        "median": 14,
        "p75": 19,
        "confidence": "low",
        "usageShare": 0.42,
        "mixedBilling": true,
        "monthlyComparable": true
      },
      "pro": {
        "nMonthly": 11,
        "p25": 14.99,
        "median": 47.5,
        "p75": 74,
        "confidence": "medium",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": true
      },
      "team_sme": {
        "nMonthly": 4,
        "p25": 121.5,
        "median": 199,
        "p75": 311.75,
        "confidence": "low",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": true
      },
      "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": 10,
          "provider_count": 6,
          "plan_observation_count": 6,
          "data_confidence": 0.46,
          "data_confidence_basis": {
            "provider_component": 0.5,
            "observation_component": 0.3,
            "provider_count": 6,
            "plan_observation_count": 6
          },
          "reliability": "medium",
          "members": [
            {
              "provider": "rpcs1_agent_tuner",
              "usd": 9
            },
            {
              "provider": "modelbound_mcp_server",
              "usd": 9
            },
            {
              "provider": "prompt_enhancer",
              "usd": 10
            },
            {
              "provider": "rt_prompt_mcp_server",
              "usd": 10
            },
            {
              "provider": "speclock",
              "usd": 19
            },
            {
              "provider": "gildara_io_mcp_server",
              "usd": 19
            }
          ],
          "p25": 9.25,
          "p75": 16.75
        },
        {
          "tier": "pro",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 47.5,
          "provider_count": 9,
          "plan_observation_count": 11,
          "data_confidence": 0.71,
          "data_confidence_basis": {
            "provider_component": 0.75,
            "observation_component": 0.55,
            "provider_count": 9,
            "plan_observation_count": 11
          },
          "reliability": "medium",
          "members": [
            {
              "provider": "geniea",
              "usd": 4.99
            },
            {
              "provider": "ultra_prompt",
              "usd": 5
            },
            {
              "provider": "context_repo_mcp",
              "usd": 19.99
            },
            {
              "provider": "modelbound_mcp_server",
              "usd": 25
            },
            {
              "provider": "prompt_central",
              "usd": 47.5
            },
            {
              "provider": "promptlayer",
              "usd": 49
            },
            {
              "provider": "gildara_io_mcp_server",
              "usd": 49
            },
            {
              "provider": "speclock",
              "usd": 99
            },
            {
              "provider": "rtcf",
              "usd": 259
            }
          ],
          "p25": 19.99,
          "p75": 49
        },
        {
          "tier": "team_sme",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 249,
          "provider_count": 3,
          "plan_observation_count": 3,
          "data_confidence": 0.23,
          "data_confidence_basis": {
            "provider_component": 0.25,
            "observation_component": 0.15,
            "provider_count": 3,
            "plan_observation_count": 3
          },
          "reliability": "low",
          "members": [
            {
              "provider": "gildara_io_mcp_server",
              "usd": 149
            },
            {
              "provider": "speclock",
              "usd": 249
            },
            {
              "provider": "promptlayer",
              "usd": 500
            }
          ]
        }
      ],
      "rejected": {
        "one_time": 4,
        "promo": 2,
        "ambiguous_cadence": 4,
        "free_or_zero": 2,
        "usage_not_monthly": 2
      },
      "evidence": {
        "status": "ok",
        "single_observations": [],
        "observed_offers": [
          {
            "billing": "monthly",
            "unit": "flat",
            "count": 20,
            "offers": [
              {
                "provider": "context_repo_mcp",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$9.99/month",
                "monthly_usd": 9.99
              },
              {
                "provider": "context_repo_mcp",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$19.99/month",
                "monthly_usd": 19.99
              },
              {
                "provider": "context_repo_mcp",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$99.99/month",
                "monthly_usd": 99.99
              },
              {
                "provider": "geniea",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$4.99 /mo",
                "monthly_usd": 4.99
              },
              {
                "provider": "gildara_io_mcp_server",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$19/mo",
                "monthly_usd": 19
              },
              {
                "provider": "gildara_io_mcp_server",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$49/mo",
                "monthly_usd": 49
              },
              {
                "provider": "gildara_io_mcp_server",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$149/mo",
                "monthly_usd": 149
              },
              {
                "provider": "modelbound_mcp_server",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$9/month",
                "monthly_usd": 9
              },
              {
                "provider": "modelbound_mcp_server",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$25/month",
                "monthly_usd": 25
              },
              {
                "provider": "prompt_central",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$570.00 annual amount",
                "monthly_usd": 47.5
              },
              {
                "provider": "prompt_enhancer",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$10/mo",
                "monthly_usd": 10
              },
              {
                "provider": "promptlayer",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$49/month",
                "monthly_usd": 49
              },
              {
                "provider": "promptlayer",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$500/month",
                "monthly_usd": 500
              },
              {
                "provider": "rpcs1_agent_tuner",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$9/mo",
                "monthly_usd": 9
              },
              {
                "provider": "rt_prompt_mcp_server",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$10/mo",
                "monthly_usd": 10
              },
              {
                "provider": "rtcf",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "฿259 ต่อเดือน",
                "monthly_usd": 259
              },
              {
                "provider": "speclock",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$19/mo",
                "monthly_usd": 19
              },
              {
                "provider": "speclock",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$99/mo",
                "monthly_usd": 99
              },
              {
                "provider": "speclock",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$249/mo",
                "monthly_usd": 249
              },
              {
                "provider": "ultra_prompt",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$5/mo",
                "monthly_usd": 5
              }
            ]
          },
          {
            "billing": "monthly",
            "unit": "per_seat",
            "count": 1,
            "offers": [
              {
                "provider": "modelbound_mcp_server",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "per_seat",
                "price": "$39/seat/month",
                "monthly_usd": 39
              }
            ]
          },
          {
            "billing": "one_time",
            "unit": "flat",
            "count": 4,
            "offers": [
              {
                "provider": "promptarch",
                "tier": "individual",
                "billing": "one_time",
                "unit": "flat",
                "price": "$5",
                "monthly_usd": null
              },
              {
                "provider": "promptarch",
                "tier": "pro",
                "billing": "one_time",
                "unit": "flat",
                "price": "$12",
                "monthly_usd": null
              },
              {
                "provider": "promptarch",
                "tier": "pro",
                "billing": "one_time",
                "unit": "flat",
                "price": "$29",
                "monthly_usd": null
              },
              {
                "provider": "promptdna_org",
                "tier": "individual",
                "billing": "one_time",
                "unit": "flat",
                "price": "$0.50 USDC",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "usage",
            "unit": "flat",
            "count": 2,
            "offers": [
              {
                "provider": "compresr",
                "tier": "individual",
                "billing": "usage",
                "unit": "flat",
                "price": "$0.10/1M tokens",
                "monthly_usd": null
              },
              {
                "provider": "compresr",
                "tier": "individual",
                "billing": "usage",
                "unit": "flat",
                "price": "$0.10/1M tokens",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "unspecified_period",
            "unit": "flat",
            "count": 4,
            "offers": [
              {
                "provider": "prompt_enhancer",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Contact us",
                "monthly_usd": null
              },
              {
                "provider": "promptlayer",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom",
                "monthly_usd": null
              },
              {
                "provider": "rpcs1_agent_tuner",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Let's talk",
                "monthly_usd": null
              },
              {
                "provider": "rt_prompt_mcp_server",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Contact us",
                "monthly_usd": null
              }
            ]
          }
        ],
        "coverage": {
          "priced_providers": 15,
          "normalized_observations": 21,
          "comparable_providers": 12,
          "strict_cohorts": 3,
          "exclusion_reasons": {
            "one_time": 4,
            "promo": 2,
            "ambiguous_cadence": 4,
            "free_or_zero": 2,
            "usage_not_monthly": 2
          }
        }
      }
    },
    "billingMix": {
      "subscription": 3,
      "contact_sales": 1,
      "free": 4,
      "freemium": 10,
      "usage": 2
    },
    "freeTierShare": 0.7,
    "medianLowestUsd": 9.99
  },
  "movement": null,
  "index_series": {
    "series": [
      {
        "day": "2026-07-19",
        "index": 100,
        "pairs": 8,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-20",
        "index": 100,
        "pairs": 10,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-21",
        "index": 100,
        "pairs": 10,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-22",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-23",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-24",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-25",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-26",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-27",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-28",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-29",
        "index": 100,
        "pairs": 15,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-30",
        "index": 100,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-31",
        "index": 100,
        "pairs": 16,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-01",
        "index": 100,
        "pairs": 16,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-02",
        "index": 100,
        "pairs": 16,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-03",
        "index": 100,
        "pairs": 16,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-04",
        "index": 100,
        "pairs": 17,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-05",
        "index": 100,
        "pairs": 17,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-06",
        "index": 100,
        "pairs": 17,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-07",
        "index": 100,
        "pairs": 18,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-08",
        "index": 100,
        "pairs": 18,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-09",
        "index": 100,
        "pairs": 18,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-10",
        "index": 100,
        "pairs": 17,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-11",
        "index": 100,
        "pairs": 19,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-12",
        "index": 100,
        "pairs": 19,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-13",
        "index": 100,
        "pairs": 19,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-14",
        "index": 100,
        "pairs": 19,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-15",
        "index": 100,
        "pairs": 19,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-16",
        "index": 100,
        "pairs": 19,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-17",
        "index": 100,
        "pairs": 21,
        "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": "compresr",
      "name": "Compresr",
      "url": "https://compresr.ai/",
      "short_summary": "compresses prompt/document context to remove tokens the model doesn't need, reducing cost and latency while preserving query-relevant information",
      "price": {
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Paid (price not published)",
        "summary": "Compresr charges $0.10 per 1M tokens compressed via usage-based API pricing, with two compression models available at the same rate."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "context_repo_mcp",
      "name": "Context Repo MCP Server",
      "url": "https://contextrepo.com/mcp-server",
      "short_summary": "provides AI context management by exposing prompts, documents, and collections to AI clients through MCP protocol",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 9.99,
        "monthly_usd": 9.99,
        "headline": "From $9.99/mo",
        "summary": "From $9.99/mo. Context Repo offers three monthly subscription plans priced from $9.99 to $99.99, with a 7-day free trial shown for Pro and Pro Max."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "modelbound_mcp_server",
      "name": "Modelbound",
      "url": "https://modelbound.co/",
      "short_summary": "authors, tests, and governs AI context specs including system prompts, rules, skills, and MCP configurations across teams",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 9,
        "monthly_usd": 9,
        "headline": "Free tier, then from $9/mo",
        "summary": "Free tier, then from $9/mo. ModelBound offers a freemium model with a permanent free tier ($0) and paid plans starting at $9/month for individuals, scaling to $39/seat/month for teams."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "ultra_prompt",
      "name": "ultra-prompt",
      "url": "https://ultraprompt.co/mcp",
      "short_summary": "provides AI assistants access to a library of 1,000+ professionally written prompt templates through MCP integration",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 5,
        "monthly_usd": 5,
        "headline": "Free tier, then from $5/mo",
        "summary": "Free tier, then from $5/mo. UltraPrompt offers a free plan with five tool calls per month and a Pro plan at $5 per month with unlimited MCP calls."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "gildara_io_mcp_server",
      "name": "Gildara Io",
      "url": "https://gildara.io",
      "short_summary": "Prompt infrastructure for AI agents—resolve, compose, and manage reusable prompts and briefs through OAuth-secured MCP tools.",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 19,
        "monthly_usd": 19,
        "headline": "Free tier, then from $19/mo",
        "summary": "Free tier, then from $19/mo. Gildara offers a permanent free tier, with paid Builder, Pro, and Scale subscriptions priced at $19, $49, and $149 per month, respectively."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "godle_prompt_api",
      "name": "Godle Prompt API",
      "url": "https://godle.app",
      "short_summary": "transforms vague questions into expert-level prompts for AI models",
      "price": {
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "GODLE offers its AI prompt tool free forever with no signup required."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "promptarch",
      "name": "Promptarch",
      "url": "https://promptarch.ai/blog/promptarch-cli-and-mcp-server-guide",
      "short_summary": "Lint and generate AI agent context files (CLAUDE.md, AGENTS.md, Cursor rules, Copilot instructions) from any MCP client. The linter is free, needs no account,…",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 5,
        "monthly_usd": 5,
        "headline": "Free tier, then from $5/mo",
        "summary": "Free tier, then from $5/mo. PromptArch offers 10 free credits on signup plus one-time credit packs priced at $5 for 50 credits, $12 for 150 credits, or $29 for 500 credits."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "promptdna_org",
      "name": "Promptdna Org",
      "url": "https://promptdna.org",
      "short_summary": "# PromptDNA\n\n**A community marketplace for composable AI prompt blocks — think npm for prompt engineering.**\n\nPromptDNA lets developers and AI agents discover,…",
      "price": {
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Paid (price not published)",
        "summary": "PromptDNA offers signup credits and pay-as-you-go usage priced at 1 credit per $0.001 USDC, with optional one-time credit bundles and no subscription."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "promptscan",
      "name": "promptscan",
      "url": "https://promptscan.dev",
      "short_summary": "Production-ready prompt injection detection for AI agents. Scan user input, retrieved docs, and tool outputs before passing them to an LLM. Returns injection_d…",
      "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": "rpcs1_agent_tuner",
      "name": "Rpcs1 Agent Tuner",
      "url": "https://rpcs1.dev",
      "short_summary": "RPCS-1 turns an agent's operating conditions into derived runtime settings (temperature, context strategy, failure-mode read), and its Translation Bridge calib…",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 9,
        "monthly_usd": 9,
        "headline": "Free tier, then from $9/mo",
        "summary": "Free tier, then from $9/mo. RPCS-1 offers a free-forever self-serve tier, a $9/month founding subscription with a stated $79/year option, a one-time $99 diagnostic after the first three free case-study seats, and custom team pricing."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [
    {
      "agent_id": "agenta",
      "name": "Agenta",
      "url": "https://agenta.ai/",
      "short_summary": "Open-source LLMOps platform for managing prompts, evaluating and debugging LLM applications, monitoring production systems, and collaborating across product, e…",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 29,
        "monthly_usd": 29,
        "headline": "Free tier, then from $29/mo",
        "summary": "Free tier, then from $29/mo. Agenta offers a free Hobby plan, with paid Cloud plans at $29/month for Pro and $299/month for Business, while Enterprise pricing is custom."
      },
      "home_niche": "agent-observability-eval",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "agentops",
      "name": "AgentOps",
      "url": "https://agentops.ai",
      "short_summary": "monitors, traces, debugs, and tracks costs of AI agents and LLM apps in production (observability)",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 40,
        "monthly_usd": 40,
        "headline": "Free tier, then from $40/mo",
        "summary": "Free tier, then from $40/mo. AgentOps offers a free tier up to 5,000 events, Pro starting at $40/month with unlimited events, and custom Enterprise pricing."
      },
      "home_niche": "agent-observability-eval",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "auto_skill_finder",
      "name": "Auto Skill Finder",
      "url": "https://prantikmedhi.github.io/auto-skill-finder",
      "short_summary": "Universal AI skill router that automatically detects prompt intent and routes to the best installed skill without manual slash commands. Reduces token usage by…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public SaaS pricing was observed on the homepage."
      },
      "home_niche": "agent-orchestration-platform",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "guardrails_ai",
      "name": "Guardrails AI",
      "url": "https://guardrailsai.com",
      "short_summary": "detects policy violations, hallucinations, and data leakage in LLM outputs; generates synthetic datasets and eval datasets for testing AI applications",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing or plan amounts are shown on the supplied homepage or Guardrails Hub page."
      },
      "home_niche": "agent-observability-eval",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "kiln_ai",
      "name": "Kiln Ai",
      "url": "https://kiln.tech",
      "short_summary": "AI workbench for building, evaluating, and optimizing AI systems. Includes evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app +…",
      "price": {
        "observed": false,
        "billing": "unknown",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "home_niche": "agent-framework-open-source",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "langsmith",
      "name": "Langsmith",
      "url": "https://www.langchain.com/langsmith/observability",
      "short_summary": "provides observability for AI agents and LLM applications via tracing, monitoring, and automated insights to debug failures and track cost/latency",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 39,
        "monthly_usd": 39,
        "headline": "Free tier, then from $39/mo",
        "summary": "Free tier, then from $39/mo. LangSmith offers a free Developer plan, a $39-per-seat monthly Plus plan, custom Enterprise pricing, and additional usage-based charges."
      },
      "home_niche": "agent-observability-eval",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "nautex_ai",
      "name": "Nautex Ai",
      "url": "https://nautex.ai",
      "short_summary": "Specifications management platform for coding agents. Helps product teams and AI agents capture requirements, review specs, design systems, and execute with tr…",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 20,
        "monthly_usd": 20,
        "headline": "Free tier, then from $20/mo",
        "summary": "Free tier, then from $20/mo. Nautex offers a permanent free plan, paid Pro and Pro+ plans at $20 and $100 per month, and custom-priced Enterprise plans."
      },
      "home_niche": "agent-orchestration-platform",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "openai_agents",
      "name": "Openai Agents",
      "url": "https://docs.langwatch.ai/integration/python/integrations/open-ai-agents",
      "short_summary": "Instruments OpenAI Agents to capture traces, monitor agent execution, LLM calls, and tool usage for observability and evaluations",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free tier + paid plans (price not published)",
        "summary": "LangWatch offers a permanent free plan with usage-based Cloud pricing tied to ingested events, while the supplied excerpt does not provide enough detail to characterize paid plans."
      },
      "home_niche": "agent-observability-eval",
      "also_covers": true,
      "upvotes": 0
    }
  ],
  "page_url": "https://agentery.com/market/prompt-management-platform",
  "summary": {
    "niche": "prompt-management-platform",
    "sector": "developer-tools-infra",
    "pricing_by_provider_type": {
      "headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: MCP servers · Individual median $10/mo (5 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
      "benchmarks": [
        {
          "provider_type": "mcp",
          "provider_type_label": "MCP servers",
          "buyer_tier": "individual",
          "buyer_tier_label": "Individual",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 5,
          "reliability": "medium",
          "median": 10,
          "p25": 9,
          "p75": 10,
          "status": "ok"
        },
        {
          "provider_type": "mcp",
          "provider_type_label": "MCP servers",
          "buyer_tier": "pro",
          "buyer_tier_label": "Pro",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 5,
          "reliability": "medium",
          "median": 25,
          "p25": 19.99,
          "p75": 49,
          "status": "ok"
        },
        {
          "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": 4,
          "reliability": "low",
          "median": 48.25,
          "p25": null,
          "p75": null,
          "status": "median_only"
        },
        {
          "provider_type": "agent",
          "provider_type_label": "Agents",
          "buyer_tier": "team_sme",
          "buyer_tier_label": "Team / SME",
          "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": [
            249,
            500
          ]
        }
      ],
      "warnings": [],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "prompt-management-platform"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/prompt-management-platform",
    "counts": {
      "listings_with_price_capture": 41,
      "listings_with_observed_public_price": 20,
      "providers_with_numeric_monthly_price_latest_scan": null,
      "like_for_like_comparable_pairs": null
    },
    "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": 10,
        "provider_count": 6,
        "plan_observation_count": 6,
        "data_confidence": 0.46,
        "data_confidence_basis": {
          "provider_component": 0.5,
          "observation_component": 0.3,
          "provider_count": 6,
          "plan_observation_count": 6
        },
        "reliability": "medium",
        "members": [
          {
            "provider": "rpcs1_agent_tuner",
            "usd": 9
          },
          {
            "provider": "modelbound_mcp_server",
            "usd": 9
          },
          {
            "provider": "prompt_enhancer",
            "usd": 10
          },
          {
            "provider": "rt_prompt_mcp_server",
            "usd": 10
          },
          {
            "provider": "speclock",
            "usd": 19
          },
          {
            "provider": "gildara_io_mcp_server",
            "usd": 19
          }
        ],
        "p25": 9.25,
        "p75": 16.75
      },
      {
        "tier": "pro",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 47.5,
        "provider_count": 9,
        "plan_observation_count": 11,
        "data_confidence": 0.71,
        "data_confidence_basis": {
          "provider_component": 0.75,
          "observation_component": 0.55,
          "provider_count": 9,
          "plan_observation_count": 11
        },
        "reliability": "medium",
        "members": [
          {
            "provider": "geniea",
            "usd": 4.99
          },
          {
            "provider": "ultra_prompt",
            "usd": 5
          },
          {
            "provider": "context_repo_mcp",
            "usd": 19.99
          },
          {
            "provider": "modelbound_mcp_server",
            "usd": 25
          },
          {
            "provider": "prompt_central",
            "usd": 47.5
          },
          {
            "provider": "promptlayer",
            "usd": 49
          },
          {
            "provider": "gildara_io_mcp_server",
            "usd": 49
          },
          {
            "provider": "speclock",
            "usd": 99
          },
          {
            "provider": "rtcf",
            "usd": 259
          }
        ],
        "p25": 19.99,
        "p75": 49
      },
      {
        "tier": "team_sme",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 249,
        "provider_count": 3,
        "plan_observation_count": 3,
        "data_confidence": 0.23,
        "data_confidence_basis": {
          "provider_component": 0.25,
          "observation_component": 0.15,
          "provider_count": 3,
          "plan_observation_count": 3
        },
        "reliability": "low",
        "members": [
          {
            "provider": "gildara_io_mcp_server",
            "usd": 149
          },
          {
            "provider": "speclock",
            "usd": 249
          },
          {
            "provider": "promptlayer",
            "usd": 500
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 41,
      "listings_with_observed_public_price": 20,
      "normalized_observations": 21,
      "comparable_providers": 12,
      "strict_cohorts": 3,
      "exclusion_reasons": {
        "one_time": 4,
        "promo": 2,
        "ambiguous_cadence": 4,
        "free_or_zero": 2,
        "usage_not_monthly": 2
      }
    },
    "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": {
      "one_time": 4,
      "promo": 2,
      "ambiguous_cadence": 4,
      "free_or_zero": 2,
      "usage_not_monthly": 2
    },
    "billing_mix": {
      "subscription": 3,
      "contact_sales": 1,
      "free": 4,
      "freemium": 10,
      "usage": 2
    },
    "free_tier_share": 0.7,
    "top_providers": [
      {
        "agent_id": "compresr",
        "name": "Compresr",
        "price": {
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Paid (price not published)",
          "summary": "Compresr charges $0.10 per 1M tokens compressed via usage-based API pricing, with two compression models available at the same rate."
        },
        "observed": true
      },
      {
        "agent_id": "context_repo_mcp",
        "name": "Context Repo MCP Server",
        "price": {
          "observed": true,
          "billing": "subscription",
          "lowest_monthly_usd": 9.99,
          "monthly_usd": 9.99,
          "headline": "From $9.99/mo",
          "summary": "From $9.99/mo. Context Repo offers three monthly subscription plans priced from $9.99 to $99.99, with a 7-day free trial shown for Pro and Pro Max."
        },
        "observed": true
      },
      {
        "agent_id": "modelbound_mcp_server",
        "name": "Modelbound",
        "price": {
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 9,
          "monthly_usd": 9,
          "headline": "Free tier, then from $9/mo",
          "summary": "Free tier, then from $9/mo. ModelBound offers a freemium model with a permanent free tier ($0) and paid plans starting at $9/month for individuals, scaling to $39/seat/month for teams."
        },
        "observed": true
      },
      {
        "agent_id": "ultra_prompt",
        "name": "ultra-prompt",
        "price": {
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 5,
          "monthly_usd": 5,
          "headline": "Free tier, then from $5/mo",
          "summary": "Free tier, then from $5/mo. UltraPrompt offers a free plan with five tool calls per month and a Pro plan at $5 per month with unlimited MCP calls."
        },
        "observed": true
      },
      {
        "agent_id": "gildara_io_mcp_server",
        "name": "Gildara Io",
        "price": {
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 19,
          "monthly_usd": 19,
          "headline": "Free tier, then from $19/mo",
          "summary": "Free tier, then from $19/mo. Gildara offers a permanent free tier, with paid Builder, Pro, and Scale subscriptions priced at $19, $49, and $149 per month, respectively."
        },
        "observed": true
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "prompt-management-platform"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "prompt-management-platform",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "compresr"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "compresr"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}