~ · home · developer-tools-infra data-visualization-agent · 26

Data Visualization Agent

Query this niche via MCPmarket_report({ query: "Data Visualization Agent", response_mode: "summary" })
active marketmarket pulse 47/100commercial money present0 new builders in 30d26 listings
basis: all observed monthly plans · commercial-form-v2
Agents · median
$29/mo
$25–$40 middle half · 3 providers · median of every priced plan point, all tiers · thin evidence
MCP servers · median
$99/mo
$44–$299 middle half · 4 providers · median of every priced plan point, all tiers · thin evidence
3.4×

MCPs cost 3.4× agents across all tiers — median $29 vs $99. Two different markets; a blended figure would mislead either buyer.

All plans — Agents vs MCPs

each dot = one provider · log scale
Agents $29
Paperbanana 3 · $12
tablecharts · $29
Anomaly Ai · $25
Paperbanana 3 · $40
tablecharts · $79
MCP servers $99
graphmake · $2
Quickchart Mcp Server · $44
Chart Output · $99
Chart Output · $299
bonnard · $375
$5
$10
$25
$50
$100
$250
AgentsMCP serversshaded = middle half · line = median
What the figures on this page are. This page is Agentery's fixed-niche view of Data Visualization Agent (latest observation 2026-10-14T03:32:48.116Z). 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": "data-visualization-agent",
  "parent_sector": "developer-tools-infra",
  "provider_type_pricing": {
    "slug": "data-visualization-agent",
    "pricing_basis": "lowest_observed_monthly_usd",
    "provider_type_methodology": "commercial-form-v2",
    "provider_type_methodology_published_at": "2026-07-31",
    "blended": {
      "median": 29,
      "p25": null,
      "p75": null,
      "providers": 7
    },
    "by_provider_type": {
      "agent": {
        "median": 25,
        "p25": null,
        "p75": null,
        "providers": 3,
        "publishable": true,
        "confidence": "provisional"
      },
      "mcp": {
        "median": 36.33,
        "p25": null,
        "p75": null,
        "providers": 4,
        "publishable": true,
        "confidence": "provisional"
      }
    },
    "recommended_cohort": null,
    "recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
    "fallback_context": null,
    "context_note": null
  },
  "crowding_level": "empty",
  "observed_node_count": 0,
  "adjacent_niches": [
    "ai-frontend-coding",
    "mcp-platform-provider",
    "incident-response-sre",
    "on-call-management-agent",
    "database-query-agent",
    "legacy-code-modernization"
  ],
  "market_pulse": {
    "pulse": 47,
    "drivers": [
      "enterprise money present",
      "1 new builder in 30d"
    ],
    "price_move_30d_pct": -0.6,
    "money_share": 0.4444444444444444,
    "entry_rate": 0.03225806451612903,
    "alive_share": 0.9629629629629629
  },
  "price_move": {
    "d_pct": 0,
    "w_pct": 0,
    "m_pct": 0,
    "comparable_agents": 6,
    "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,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        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
      ],
      "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
      ],
      "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
      ]
    },
    "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": 3,
      "pro": 6,
      "team_sme": 2,
      "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": 26,
    "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
      },
      "individual": {
        "n": 7,
        "nPriced": 5,
        "reliability": "medium",
        "median": 1.16,
        "p25": 0.83,
        "p75": 29,
        "min": 0.59,
        "max": 29,
        "mean": 12.12,
        "stdev": 15.41,
        "usageShare": 0.29
      },
      "pro": {
        "n": 6,
        "nPriced": 6,
        "reliability": "medium",
        "median": 32,
        "p25": 8.75,
        "p75": 69,
        "min": 1.58,
        "max": 99,
        "mean": 41.15,
        "stdev": 40.1,
        "usageShare": 0
      },
      "team_sme": {
        "n": 7,
        "nPriced": 4,
        "reliability": "low",
        "median": 224.5,
        "p25": 123.75,
        "p75": 374.25,
        "min": 45,
        "max": 600,
        "mean": 273.5,
        "stdev": 241.33,
        "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,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "individual": {
        "nMonthly": 4,
        "p25": 1.08,
        "median": 15.08,
        "p75": 29,
        "confidence": "low",
        "usageShare": 0.29,
        "mixedBilling": true,
        "monthlyComparable": true
      },
      "pro": {
        "nMonthly": 6,
        "p25": 8.75,
        "median": 32,
        "p75": 69,
        "confidence": "medium",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": true
      },
      "team_sme": {
        "nMonthly": 4,
        "p25": 123.75,
        "median": 224.5,
        "p75": 374.25,
        "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": 29,
          "provider_count": 3,
          "plan_observation_count": 4,
          "data_confidence": 0.24,
          "data_confidence_basis": {
            "provider_component": 0.25,
            "observation_component": 0.2,
            "provider_count": 3,
            "plan_observation_count": 4
          },
          "reliability": "low",
          "members": [
            {
              "provider": "paperbanana_3",
              "usd": 11.9
            },
            {
              "provider": "chart_output",
              "usd": 29
            },
            {
              "provider": "tablecharts",
              "usd": 29
            }
          ]
        },
        {
          "tier": "pro",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 42.18,
          "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": "graphmake",
              "usd": 1.58
            },
            {
              "provider": "anomaly_ai",
              "usd": 25
            },
            {
              "provider": "paperbanana_3",
              "usd": 39.9
            },
            {
              "provider": "quickchart_mcp_server",
              "usd": 44.46
            },
            {
              "provider": "tablecharts",
              "usd": 79
            },
            {
              "provider": "chart_output",
              "usd": 99
            }
          ],
          "p25": 28.73,
          "p75": 70.37
        },
        {
          "tier": "team_sme",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 337,
          "provider_count": 2,
          "plan_observation_count": 3,
          "data_confidence": 0.16,
          "data_confidence_basis": {
            "provider_component": 0.17,
            "observation_component": 0.15,
            "provider_count": 2,
            "plan_observation_count": 3
          },
          "reliability": "low",
          "members": [
            {
              "provider": "chart_output",
              "usd": 299
            },
            {
              "provider": "bonnard",
              "usd": 375
            }
          ]
        }
      ],
      "rejected": {
        "ambiguous_cadence": 4,
        "one_time": 5,
        "usage_not_monthly": 1
      },
      "evidence": {
        "status": "ok",
        "single_observations": [],
        "observed_offers": [
          {
            "billing": "monthly",
            "unit": "flat",
            "count": 13,
            "offers": [
              {
                "provider": "anomaly_ai",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$25 /month",
                "monthly_usd": 25
              },
              {
                "provider": "bonnard",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$150 /mo",
                "monthly_usd": 150
              },
              {
                "provider": "bonnard",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$600 /mo",
                "monthly_usd": 600
              },
              {
                "provider": "chart_output",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$ 29 /mo",
                "monthly_usd": 29
              },
              {
                "provider": "chart_output",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$ 99 /mo",
                "monthly_usd": 99
              },
              {
                "provider": "chart_output",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$ 299 /mo",
                "monthly_usd": 299
              },
              {
                "provider": "graphmake",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$19/year",
                "monthly_usd": 1.58
              },
              {
                "provider": "paperbanana_3",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$9.90/mo; billed $118.80/yr",
                "monthly_usd": 9.9
              },
              {
                "provider": "paperbanana_3",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$13.90/mo; billed $166.80/yr",
                "monthly_usd": 13.9
              },
              {
                "provider": "paperbanana_3",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$39.90/mo; billed $478.80/yr",
                "monthly_usd": 39.9
              },
              {
                "provider": "quickchart_mcp_server",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "€39/month",
                "monthly_usd": 44.46
              },
              {
                "provider": "tablecharts",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$29 / month",
                "monthly_usd": 29
              },
              {
                "provider": "tablecharts",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$79 / month",
                "monthly_usd": 79
              }
            ]
          },
          {
            "billing": "monthly",
            "unit": "per_seat",
            "count": 1,
            "offers": [
              {
                "provider": "anomaly_ai",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "per_seat",
                "price": "$45 /seat/month",
                "monthly_usd": 45
              }
            ]
          },
          {
            "billing": "one_time",
            "unit": "flat",
            "count": 5,
            "offers": [
              {
                "provider": "graphmake",
                "tier": "individual",
                "billing": "one_time",
                "unit": "flat",
                "price": "$5",
                "monthly_usd": null
              },
              {
                "provider": "tablecharts",
                "tier": "individual",
                "billing": "one_time",
                "unit": "flat",
                "price": "$9 one-time",
                "monthly_usd": null
              },
              {
                "provider": "tablecharts",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$29 one-time",
                "monthly_usd": null
              },
              {
                "provider": "tablecharts",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$79 one-time",
                "monthly_usd": null
              },
              {
                "provider": "tablecharts",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$199 one-time",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "usage",
            "unit": "flat",
            "count": 1,
            "offers": [
              {
                "provider": "tablecharts",
                "tier": "individual",
                "billing": "usage",
                "unit": "flat",
                "price": "$0.59 per chart",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "unspecified_period",
            "unit": "flat",
            "count": 4,
            "offers": [
              {
                "provider": "anomaly_ai",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom",
                "monthly_usd": null
              },
              {
                "provider": "bonnard",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom volume and pricing",
                "monthly_usd": null
              },
              {
                "provider": "chart_output",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom",
                "monthly_usd": null
              },
              {
                "provider": "quickchart_mcp_server",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Contact Us",
                "monthly_usd": null
              }
            ]
          }
        ],
        "coverage": {
          "priced_providers": 7,
          "normalized_observations": 14,
          "comparable_providers": 7,
          "strict_cohorts": 3,
          "exclusion_reasons": {
            "ambiguous_cadence": 4,
            "one_time": 5,
            "usage_not_monthly": 1
          }
        }
      }
    },
    "quoteOnlyProvidersByTier": {
      "individual": 0,
      "pro": 0,
      "team_sme": 0,
      "enterprise": 4
    },
    "billingMix": {
      "free": 2,
      "freemium": 6,
      "subscription": 1
    },
    "freeTierShare": 0.89,
    "medianLowestUsd": 29
  },
  "movement": {
    "niche": "data-visualization-agent",
    "sector": "developer-tools-infra",
    "pricedNow": 7,
    "pairs": 7,
    "repriced": [
      {
        "handle": "quickchart_mcp_server",
        "from": 43.88,
        "to": 43.65,
        "pct": -0.5
      }
    ],
    "newlyPriced": [],
    "droppedFromPriced": [],
    "likeForLikePct": -0.1,
    "kind": "repricing",
    "narrative": "Genuine repricing: 1 agent repriced — all down (avg -0.1%)."
  },
  "index_series": {
    "series": [
      {
        "day": "2026-09-15",
        "index": 100,
        "pairs": 15,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-16",
        "index": 100,
        "pairs": 15,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-17",
        "index": 100,
        "pairs": 15,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-18",
        "index": 100,
        "pairs": 15,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-19",
        "index": 100,
        "pairs": 15,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-20",
        "index": 100,
        "pairs": 15,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-21",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-22",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-23",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-24",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-25",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-26",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-27",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-28",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-29",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-30",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-01",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-02",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-03",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-04",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-05",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-06",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-07",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-08",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-09",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-10",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-11",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-12",
        "index": 100,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-13",
        "index": 100,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-14",
        "index": 100,
        "pairs": 11,
        "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": "chart_output",
      "name": "Chart Output",
      "url": "https://www.chart-output.com",
      "short_summary": "converts Chart.js configurations into production-ready images (PNG, SVG, WebP, PDF)",
      "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 /mo",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Starter",
              "price": "$ 29 /mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Pro",
              "price": "$ 99 /mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Business",
              "price": "$ 299 /mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Enterprise",
              "price": "Custom",
              "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. Chart-Output offers a free tier and three fixed monthly plans ranging from $29 to $299 per month, plus custom Enterprise pricing."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "tablecharts",
      "name": "Tablecharts",
      "url": "https://tablecharts.co/",
      "short_summary": "generates live-updating chart dashboards from tabular data, including cleaning data and selecting chart types",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Starter",
            "monthly_native": 29,
            "monthly_usd": 29,
            "commitment": "monthly",
            "basis": "$29/month",
            "billing_verified": false,
            "billing_note": "the pricing page has a \"Monthly Annual SAVE 20%\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
          },
          "rates": [
            {
              "line": "Pay-as-you-go",
              "per": "per chart",
              "text": "$0.59 per chart"
            }
          ],
          "currency": "USD",
          "notes": [
            "other prices: Starter bundle $9 one-time (one-time); Growth bundle $29 one-time (one-time); Scale bundle $79 one-time (one-time); Agency bundle $199 one-time (one-time)",
            "billing period unverified: the pricing page has a \"Monthly Annual SAVE 20%\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
          ],
          "lines": [
            {
              "name": "Free",
              "price": "Free forever",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Starter bundle",
              "price": "$9 one-time",
              "kind": "one_off",
              "billed": "one_off"
            },
            {
              "name": "Growth bundle",
              "price": "$29 one-time",
              "kind": "one_off",
              "billed": "one_off"
            },
            {
              "name": "Scale bundle",
              "price": "$79 one-time",
              "kind": "one_off",
              "billed": "one_off"
            },
            {
              "name": "Agency bundle",
              "price": "$199 one-time",
              "kind": "one_off",
              "billed": "one_off"
            },
            {
              "name": "Pay-as-you-go",
              "price": "$0.59 per chart",
              "kind": "usage_rate",
              "unit": "chart",
              "billed": "usage"
            },
            {
              "name": "Starter",
              "price": "$29 / month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Pro",
              "price": "$79 / month",
              "kind": "base_subscription",
              "billed": "monthly"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 29,
        "monthly_usd": 29,
        "headline": "Free plan; paid from $29/mo (billing period unverified: page has a Monthly/Annual toggle)",
        "summary": "Free plan; paid from $29/mo (billing period unverified: page has a Monthly/Annual toggle). TableCharts offers a permanent free tier, one-time chart bundles from $9, pay-as-you-go usage pricing, and monthly Starter and Pro subscriptions from $29."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "blueprint_chart_remote",
      "name": "Blueprint Chart",
      "url": "https://docs.blueprintchart.com/guide/mcp",
      "short_summary": "Charts your AI writes for you. Describe the data and your assistant authors Blueprint Chart's plain-text format, validates it, and renders an interactive, acce…",
      "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 in the supplied documentation page."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "graphmake",
      "name": "Graphmake",
      "url": "https://graphmake.com/mcp",
      "short_summary": "Turn data into infographics (PNG/SVG). Your AI agent fills one of 90+ designed GraphMake templates (sales reports, dashboards, comparisons, timelines, resumes,…",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Pro",
            "monthly_native": 1.58,
            "monthly_usd": 1.5833333333333333,
            "commitment": "annual",
            "basis": "$19/year (annual commitment) = $1.58/month equivalent"
          },
          "currency": "USD",
          "notes": [
            "other prices: AI credits $5 (one-time)"
          ],
          "lines": [
            {
              "name": "Free",
              "price": "$0",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Pro",
              "price": "$19/year",
              "kind": "base_subscription",
              "billed": "annually"
            },
            {
              "name": "AI credits",
              "price": "$5",
              "kind": "one_off",
              "billed": "one_off"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 1.5833333333333333,
        "monthly_usd": 1.5833333333333333,
        "headline": "Free plan; paid from $1.58/mo (annual commitment)",
        "summary": "Free plan; paid from $1.58/mo (annual commitment). GraphMake offers a permanent free tier, Pro at $19/year, and a one-time $5 pack of 30 AI generations."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "quickchart_mcp_server",
      "name": "QuickChart Server",
      "url": "https://quickchart.io/documentation/",
      "short_summary": "generates chart images on-the-fly from Chart.js configurations",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Professional",
            "monthly_native": 39,
            "monthly_usd": 43.65,
            "commitment": "monthly",
            "basis": "€39/month",
            "billing_verified": true
          },
          "currency": "EUR",
          "notes": [
            "prices in EUR as published; USD figures are conversions at 2026-10-14"
          ],
          "lines": [
            {
              "name": "Community",
              "price": "€0/month",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Professional",
              "price": "€39/month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Enterprise",
              "price": "Contact Us",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 43.65,
        "monthly_usd": 43.65,
        "headline": "Free plan; paid from €39/mo",
        "summary": "Free plan; paid from €39/mo. QuickChart offers a free Community plan, a €39/month Professional plan, and custom-priced Enterprise service."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "reportforge",
      "name": "reportforge",
      "url": "https://smithery.ai/server/twilize5/reportforge",
      "short_summary": "More info on www.pbiforge.com",
      "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 available Smithery server page."
      },
      "evidence_quality": "low",
      "upvotes": 0
    },
    {
      "agent_id": "vchart_mcp_server",
      "name": "VChart Visualization Server",
      "url": "https://www.visactor.io",
      "short_summary": "Generate interactive charts and visualizations through AI assistants using a variety of chart types and output formats",
      "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": "low",
      "upvotes": 0
    },
    {
      "agent_id": "anomaly_ai",
      "name": "Anomaly Ai",
      "url": "https://findanomaly.ai/pricing",
      "short_summary": "AI data analyst for querying large spreadsheets, GA4, advertising platforms, and databases, with chart and dashboard generation, shareable reports, and schedul…",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Pro",
            "monthly_native": 25,
            "monthly_usd": 25,
            "commitment": "monthly",
            "basis": "$25/month",
            "billing_verified": true
          },
          "currency": "USD",
          "lines": [
            {
              "name": "Free",
              "price": "$0 /month",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Pro",
              "price": "$25 /month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Team",
              "price": "$45 /seat/month",
              "kind": "base_subscription",
              "unit": "seat",
              "billed": "monthly",
              "min_seats": 2
            },
            {
              "name": "Enterprise",
              "price": "Custom",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 25,
        "monthly_usd": 25,
        "headline": "Free plan; paid from $25/mo",
        "summary": "Free plan; paid from $25/mo. Anomaly AI offers a free tier, a $25/month Pro plan, a $45/seat/month Team plan with a two-seat minimum, and custom Enterprise pricing."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "anyviz",
      "name": "Anyviz",
      "url": "https://anyviz.aiware.store",
      "short_summary": "AI-native data visualization grammar and workflow library. Provides executable rules for chart selection, aesthetics, rendering adapters, and consistency acros…",
      "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. The homepage JSON-LD indicates an offer priced at 0USD, with no additional public plan details shown."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "bonnard",
      "name": "Bonnard",
      "url": "https://bonnard.dev",
      "short_summary": "MCP server library that adds interactive charting capabilities to AI agents. Renders charts natively in Claude, ChatGPT, Cursor, and other clients from real qu…",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Team",
            "monthly_native": 150,
            "monthly_usd": 150,
            "commitment": "monthly",
            "basis": "$150/month",
            "billing_verified": true
          },
          "currency": "USD",
          "lines": [
            {
              "name": "Free",
              "price": "$0 /mo",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Team",
              "price": "$150 /mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Scale",
              "price": "$600 /mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Enterprise",
              "price": "Custom volume and pricing",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 150,
        "monthly_usd": 150,
        "headline": "Free plan; paid from $150/mo",
        "summary": "Free plan; paid from $150/mo. Bonnard offers a permanent free tier with 3,000 calls per month, paid Team and Scale plans at $150 and $600 per month, and additional usage-based call charges."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [],
  "page_url": "https://agentery.com/market/data-visualization-agent",
  "summary": {
    "niche": "data-visualization-agent",
    "sector": "developer-tools-infra",
    "pricing_by_provider_type": {
      "headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: Agents · Pro median $40/mo (3 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
      "benchmarks": [
        {
          "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": 3,
          "reliability": "low",
          "median": 39.9,
          "p25": null,
          "p75": null,
          "status": "median_only"
        },
        {
          "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": 3,
          "reliability": "low",
          "median": 44.46,
          "p25": null,
          "p75": null,
          "status": "median_only"
        },
        {
          "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": [
            11.9,
            29
          ]
        },
        {
          "provider_type": "mcp",
          "provider_type_label": "MCP servers",
          "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": [
            299,
            375
          ]
        }
      ],
      "warnings": [],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "data-visualization-agent"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/data-visualization-agent",
    "counts": {
      "listings_with_price_capture": 26,
      "listings_with_observed_public_price": 9,
      "providers_with_numeric_monthly_price_latest_scan": 7,
      "like_for_like_comparable_pairs": 7
    },
    "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": 29,
        "provider_count": 3,
        "plan_observation_count": 4,
        "data_confidence": 0.24,
        "data_confidence_basis": {
          "provider_component": 0.25,
          "observation_component": 0.2,
          "provider_count": 3,
          "plan_observation_count": 4
        },
        "reliability": "low",
        "members": [
          {
            "provider": "paperbanana_3",
            "usd": 11.9
          },
          {
            "provider": "chart_output",
            "usd": 29
          },
          {
            "provider": "tablecharts",
            "usd": 29
          }
        ]
      },
      {
        "tier": "pro",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 42.18,
        "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": "graphmake",
            "usd": 1.58
          },
          {
            "provider": "anomaly_ai",
            "usd": 25
          },
          {
            "provider": "paperbanana_3",
            "usd": 39.9
          },
          {
            "provider": "quickchart_mcp_server",
            "usd": 44.46
          },
          {
            "provider": "tablecharts",
            "usd": 79
          },
          {
            "provider": "chart_output",
            "usd": 99
          }
        ],
        "p25": 28.73,
        "p75": 70.37
      },
      {
        "tier": "team_sme",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 337,
        "provider_count": 2,
        "plan_observation_count": 3,
        "data_confidence": 0.16,
        "data_confidence_basis": {
          "provider_component": 0.17,
          "observation_component": 0.15,
          "provider_count": 2,
          "plan_observation_count": 3
        },
        "reliability": "low",
        "members": [
          {
            "provider": "chart_output",
            "usd": 299
          },
          {
            "provider": "bonnard",
            "usd": 375
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 26,
      "listings_with_observed_public_price": 9,
      "normalized_observations": 14,
      "comparable_providers": 7,
      "strict_cohorts": 3,
      "exclusion_reasons": {
        "ambiguous_cadence": 4,
        "one_time": 5,
        "usage_not_monthly": 1
      }
    },
    "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": 4,
      "one_time": 5,
      "usage_not_monthly": 1
    },
    "billing_mix": {
      "free": 2,
      "freemium": 6,
      "subscription": 1
    },
    "free_tier_share": 0.89,
    "top_providers": [
      {
        "agent_id": "chart_output",
        "name": "Chart Output",
        "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 /mo",
                "kind": "free",
                "billed": "monthly"
              },
              {
                "name": "Starter",
                "price": "$ 29 /mo",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Pro",
                "price": "$ 99 /mo",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Business",
                "price": "$ 299 /mo",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Enterprise",
                "price": "Custom",
                "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. Chart-Output offers a free tier and three fixed monthly plans ranging from $29 to $299 per month, plus custom Enterprise pricing."
        },
        "observed": true
      },
      {
        "agent_id": "tablecharts",
        "name": "Tablecharts",
        "price": {
          "commercial": {
            "entry_offer": {
              "line": "Starter",
              "monthly_native": 29,
              "monthly_usd": 29,
              "commitment": "monthly",
              "basis": "$29/month",
              "billing_verified": false,
              "billing_note": "the pricing page has a \"Monthly Annual SAVE 20%\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
            },
            "rates": [
              {
                "line": "Pay-as-you-go",
                "per": "per chart",
                "text": "$0.59 per chart"
              }
            ],
            "currency": "USD",
            "notes": [
              "other prices: Starter bundle $9 one-time (one-time); Growth bundle $29 one-time (one-time); Scale bundle $79 one-time (one-time); Agency bundle $199 one-time (one-time)",
              "billing period unverified: the pricing page has a \"Monthly Annual SAVE 20%\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
            ],
            "lines": [
              {
                "name": "Free",
                "price": "Free forever",
                "kind": "free",
                "billed": "monthly"
              },
              {
                "name": "Starter bundle",
                "price": "$9 one-time",
                "kind": "one_off",
                "billed": "one_off"
              },
              {
                "name": "Growth bundle",
                "price": "$29 one-time",
                "kind": "one_off",
                "billed": "one_off"
              },
              {
                "name": "Scale bundle",
                "price": "$79 one-time",
                "kind": "one_off",
                "billed": "one_off"
              },
              {
                "name": "Agency bundle",
                "price": "$199 one-time",
                "kind": "one_off",
                "billed": "one_off"
              },
              {
                "name": "Pay-as-you-go",
                "price": "$0.59 per chart",
                "kind": "usage_rate",
                "unit": "chart",
                "billed": "usage"
              },
              {
                "name": "Starter",
                "price": "$29 / month",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Pro",
                "price": "$79 / month",
                "kind": "base_subscription",
                "billed": "monthly"
              }
            ]
          },
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 29,
          "monthly_usd": 29,
          "headline": "Free plan; paid from $29/mo (billing period unverified: page has a Monthly/Annual toggle)",
          "summary": "Free plan; paid from $29/mo (billing period unverified: page has a Monthly/Annual toggle). TableCharts offers a permanent free tier, one-time chart bundles from $9, pay-as-you-go usage pricing, and monthly Starter and Pro subscriptions from $29."
        },
        "observed": true
      },
      {
        "agent_id": "blueprint_chart_remote",
        "name": "Blueprint Chart",
        "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 in the supplied documentation page."
        },
        "observed": false
      },
      {
        "agent_id": "graphmake",
        "name": "Graphmake",
        "price": {
          "commercial": {
            "entry_offer": {
              "line": "Pro",
              "monthly_native": 1.58,
              "monthly_usd": 1.5833333333333333,
              "commitment": "annual",
              "basis": "$19/year (annual commitment) = $1.58/month equivalent"
            },
            "currency": "USD",
            "notes": [
              "other prices: AI credits $5 (one-time)"
            ],
            "lines": [
              {
                "name": "Free",
                "price": "$0",
                "kind": "free",
                "billed": "monthly"
              },
              {
                "name": "Pro",
                "price": "$19/year",
                "kind": "base_subscription",
                "billed": "annually"
              },
              {
                "name": "AI credits",
                "price": "$5",
                "kind": "one_off",
                "billed": "one_off"
              }
            ]
          },
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 1.5833333333333333,
          "monthly_usd": 1.5833333333333333,
          "headline": "Free plan; paid from $1.58/mo (annual commitment)",
          "summary": "Free plan; paid from $1.58/mo (annual commitment). GraphMake offers a permanent free tier, Pro at $19/year, and a one-time $5 pack of 30 AI generations."
        },
        "observed": true
      },
      {
        "agent_id": "quickchart_mcp_server",
        "name": "QuickChart Server",
        "price": {
          "commercial": {
            "entry_offer": {
              "line": "Professional",
              "monthly_native": 39,
              "monthly_usd": 43.65,
              "commitment": "monthly",
              "basis": "€39/month",
              "billing_verified": true
            },
            "currency": "EUR",
            "notes": [
              "prices in EUR as published; USD figures are conversions at 2026-10-14"
            ],
            "lines": [
              {
                "name": "Community",
                "price": "€0/month",
                "kind": "free",
                "billed": "monthly"
              },
              {
                "name": "Professional",
                "price": "€39/month",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Enterprise",
                "price": "Contact Us",
                "kind": "custom"
              }
            ]
          },
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 43.65,
          "monthly_usd": 43.65,
          "headline": "Free plan; paid from €39/mo",
          "summary": "Free plan; paid from €39/mo. QuickChart offers a free Community plan, a €39/month Professional plan, and custom-priced Enterprise service."
        },
        "observed": true
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "data-visualization-agent"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "data-visualization-agent",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "chart_output"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "chart_output"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}
Full market

9 providers, one sortable view

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

ProviderTypeFromVs niche medianLiveness
Chart Outputconverts Chart.js configurations into production-ready images (PNG, SVG, WebP, PDF)
mcp$29from / mo31.2% below88% livemcp31.2% below median88% live
Tablechartsgenerates live-updating chart dashboards from tabular data, including cleaning data and selecting chart types
agent$29from / mo31.2% below88% liveagent31.2% below median88% live
GraphmakeTurn data into infographics (PNG/SVG). Your AI agent fills one of 90+ designed GraphMake templates (sales reports, dashboards, comparisons, timelines, resumes,…
mcp$1.58from / mo96.2% below88% livemcp96.2% below median88% live
QuickChart Servergenerates chart images on-the-fly from Chart.js configurations
mcp$43.65from / mo3.5% above88% livemcp3.5% above median88% live
Anomaly AiAI data analyst for querying large spreadsheets, GA4, advertising platforms, and databases, with chart and dashboard generation, shareable reports, and schedul…
mcp$25from / mo40.7% below88% livemcp40.7% below median88% live
AnyvizAI-native data visualization grammar and workflow library. Provides executable rules for chart selection, aesthetics, rendering adapters, and consistency acros…
agentFreefree to use—0% liveagent0% live
BonnardMCP server library that adds interactive charting capabilities to AI agents. Renders charts natively in Claude, ChatGPT, Cursor, and other clients from real qu…
mcp$150from / mo255.6% above88% livemcp255.6% above median88% live
Paperbanana 3AI-assisted academic figure generation tool that uses PaperVizAgent to turn research notes and structured study context into draft diagrams, charts, and scient…
agent$9.90from / mo76.5% below88% liveagent76.5% below median88% live
SemioticOpen-source React data visualization library with charting, network graphs, streaming data, coordinated dashboards, structured schemas, and an MCP server for A…
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.