Regulatory Monitoring

{
  "niche": "regulatory-monitoring",
  "parent_sector": "legal",
  "provider_type_pricing": {
    "slug": "regulatory-monitoring",
    "pricing_basis": "lowest_observed_monthly_usd",
    "provider_type_methodology": "commercial-form-v2",
    "provider_type_methodology_published_at": "2026-07-31",
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      "providers": 6
    },
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        "publishable": false,
        "confidence": "insufficient",
        "reason": "Fewer than three comparable priced Agent-economy products are available."
      },
      "mcp": {
        "median": 7.5,
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        "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": "emerging",
  "observed_node_count": 6,
  "adjacent_niches": [
    "e-discovery-review",
    "contract-clause-extraction",
    "ma-diligence-document-review",
    "real-estate-transaction-docs",
    "ai-paralegal-agent",
    "litigation-analysis"
  ],
  "market_pulse": {
    "pulse": 49,
    "drivers": [
      "enterprise money present",
      "2 new builders in 30d"
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    "money_share": 0.625,
    "entry_rate": 0.1,
    "alive_share": 1
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    "comparable_agents": 5,
    "quarantined_agents": 1,
    "confidence": "high",
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    },
    "tier_own_move": {
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      },
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      "m": {
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    },
    "tier_agents": {
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    "tier_obs_range": {
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    }
  },
  "pricing": {
    "sampleSize": 15,
    "observed": 8,
    "byPersona": {
      "free": {
        "n": 4,
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      "individual": {
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        "min": 0.08,
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        "stdev": 10.31,
        "usageShare": 0.29
      },
      "pro": {
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        "p75": 99.75,
        "min": 20,
        "max": 200,
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        "stdev": 62.92,
        "usageShare": 0
      },
      "team_sme": {
        "n": 3,
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        "p75": 274,
        "min": 99,
        "max": 299,
        "mean": 215.67,
        "stdev": 104.08,
        "usageShare": 0
      },
      "enterprise": {
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        "max": 499,
        "mean": 166.68,
        "stdev": 287.8,
        "usageShare": 0.17
      }
    },
    "byPersonaMonthly": {
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        "nMonthly": 0,
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        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
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      "individual": {
        "nMonthly": 4,
        "p25": 5,
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        "usageShare": 0.29,
        "mixedBilling": true,
        "monthlyComparable": true
      },
      "pro": {
        "nMonthly": 6,
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        "p75": 99.75,
        "confidence": "medium",
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        "monthlyComparable": true
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      "team_sme": {
        "nMonthly": 3,
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        "confidence": "low",
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        "monthlyComparable": true
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      "enterprise": {
        "nMonthly": 2,
        "p25": 125.5,
        "median": 250,
        "p75": 374.5,
        "confidence": "low",
        "usageShare": 0.17,
        "mixedBilling": true,
        "monthlyComparable": true
      }
    },
    "byTierCohorts": {
      "status": "ok",
      "cohorts": [
        {
          "tier": "individual",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 10,
          "provider_count": 4,
          "plan_observation_count": 5,
          "data_confidence": 0.32,
          "data_confidence_basis": {
            "provider_component": 0.33,
            "observation_component": 0.25,
            "provider_count": 4,
            "plan_observation_count": 5
          },
          "reliability": "low",
          "members": [
            {
              "provider": "horizon",
              "usd": 5
            },
            {
              "provider": "mcp23_creator",
              "usd": 10
            },
            {
              "provider": "sourceacts_mcp",
              "usd": 10
            },
            {
              "provider": "alt",
              "usd": 29
            }
          ]
        },
        {
          "tier": "pro",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 83.13,
          "provider_count": 4,
          "plan_observation_count": 6,
          "data_confidence": 0.33,
          "data_confidence_basis": {
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            "provider_count": 4,
            "plan_observation_count": 6
          },
          "reliability": "low",
          "members": [
            {
              "provider": "sourceacts_mcp",
              "usd": 49
            },
            {
              "provider": "frigolog_haccp",
              "usd": 67.26
            },
            {
              "provider": "alt",
              "usd": 99
            },
            {
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              "usd": 100
            }
          ]
        },
        {
          "tier": "team_sme",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 236.5,
          "provider_count": 2,
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          "data_confidence": 0.16,
          "data_confidence_basis": {
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            "plan_observation_count": 3
          },
          "reliability": "low",
          "members": [
            {
              "provider": "sourceacts_mcp",
              "usd": 174
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            {
              "provider": "alt",
              "usd": 299
            }
          ]
        }
      ],
      "rejected": {
        "usage_not_monthly": 2,
        "ambiguous_cadence": 3,
        "free_or_zero": 1
      },
      "evidence": {
        "status": "ok",
        "single_observations": [],
        "observed_offers": [
          {
            "billing": "monthly",
            "unit": "flat",
            "count": 16,
            "offers": [
              {
                "provider": "alt",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$29/mo",
                "monthly_usd": 29
              },
              {
                "provider": "alt",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$99/mo",
                "monthly_usd": 99
              },
              {
                "provider": "alt",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$299/mo",
                "monthly_usd": 299
              },
              {
                "provider": "alt",
                "tier": "enterprise",
                "billing": "monthly",
                "unit": "flat",
                "price": "$499/mo",
                "monthly_usd": 499
              },
              {
                "provider": "alt",
                "tier": "enterprise",
                "billing": "monthly",
                "unit": "flat",
                "price": "$12k/yr",
                "monthly_usd": 1
              },
              {
                "provider": "frigolog_haccp",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "59€ HT / mois",
                "monthly_usd": 67.26
              },
              {
                "provider": "horizon",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$5/mo",
                "monthly_usd": 5
              },
              {
                "provider": "mcp23_creator",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$10/mo",
                "monthly_usd": 10
              },
              {
                "provider": "obsidianri",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$20 / mo",
                "monthly_usd": 20
              },
              {
                "provider": "obsidianri",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$100 / mo",
                "monthly_usd": 100
              },
              {
                "provider": "obsidianri",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$200 / mo",
                "monthly_usd": 200
              },
              {
                "provider": "sourceacts_mcp",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$5/ month",
                "monthly_usd": 5
              },
              {
                "provider": "sourceacts_mcp",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$15/ mo",
                "monthly_usd": 15
              },
              {
                "provider": "sourceacts_mcp",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$49/ mo",
                "monthly_usd": 49
              },
              {
                "provider": "sourceacts_mcp",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$99/ mo",
                "monthly_usd": 99
              },
              {
                "provider": "sourceacts_mcp",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$249/ mo",
                "monthly_usd": 249
              }
            ]
          },
          {
            "billing": "usage",
            "unit": "per_agent",
            "count": 2,
            "offers": [
              {
                "provider": "compliance_check",
                "tier": "individual",
                "billing": "usage",
                "unit": "per_agent",
                "price": "$0.08/agent run",
                "monthly_usd": null
              },
              {
                "provider": "compliance_check",
                "tier": "enterprise",
                "billing": "usage",
                "unit": "per_agent",
                "price": "$0.03/agent run",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "unspecified_period",
            "unit": "flat",
            "count": 3,
            "offers": [
              {
                "provider": "mcp23_creator",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Contact us",
                "monthly_usd": null
              },
              {
                "provider": "neimo",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Contact Us",
                "monthly_usd": null
              },
              {
                "provider": "obsidianri",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom",
                "monthly_usd": null
              }
            ]
          }
        ],
        "coverage": {
          "priced_providers": 8,
          "normalized_observations": 16,
          "comparable_providers": 6,
          "strict_cohorts": 3,
          "exclusion_reasons": {
            "usage_not_monthly": 2,
            "ambiguous_cadence": 3,
            "free_or_zero": 1
          }
        }
      }
    },
    "billingMix": {
      "usage": 1,
      "subscription": 3,
      "freemium": 4
    },
    "freeTierShare": 0.5,
    "medianLowestUsd": 7.5
  },
  "movement": {
    "niche": "regulatory-monitoring",
    "sector": "legal",
    "pricedNow": 6,
    "pairs": 5,
    "repriced": [
      {
        "handle": "frigolog_haccp",
        "from": 68.17,
        "to": 68.27,
        "pct": 0.1
      }
    ],
    "newlyPriced": [
      "sourceacts_mcp"
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    "droppedFromPriced": [],
    "likeForLikePct": 0,
    "kind": "mixed",
    "narrative": "Repricing + composition: 1 agent repriced — all up (avg +0%); 1 newly published pricing."
  },
  "index_series": {
    "series": [
      {
        "day": "2026-07-19",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-20",
        "index": 100,
        "pairs": 2,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-21",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-22",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-23",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-24",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-25",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-26",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-27",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-28",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-29",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-30",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-31",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-01",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-02",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-03",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-04",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-05",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-06",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-07",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-08",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-09",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-10",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-11",
        "index": 100,
        "pairs": 8,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-12",
        "index": 100,
        "pairs": 8,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-13",
        "index": 100,
        "pairs": 8,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-14",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-15",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-16",
        "index": 100,
        "pairs": 7,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-17",
        "index": 100,
        "pairs": 10,
        "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": "automating_regulatory_complian",
      "name": "Automating Regulatory Complian",
      "url": "https://aws.amazon.com/blogs/machine-learning/automating-regulatory-compliance-a-multi-agent-solution-using-amazon-bedrock-and-crewai",
      "short_summary": "automates regulatory compliance by summarizing new regulations, assessing their impact, and providing prescriptive technical guidance using a multi-agent system",
      "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."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "frigolog_haccp",
      "name": "frigolog-haccp",
      "url": "https://www.frigolog.fr",
      "short_summary": "HACCP compliance management for food businesses including temperature monitoring, cleaning schedules, product traceability, and regulatory compliance documenta…",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 68.27,
        "monthly_usd": 79,
        "headline": "From $68.27/mo",
        "summary": "From $68.27/mo. Frigolog Pro coûte 59€ HT par mois sans engagement, avec toutes les fonctionnalités incluses et un essai gratuit de 14 jours."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "horizon",
      "name": "Horizon",
      "url": "https://horizon.alchemylab.sh",
      "short_summary": "Free, no-auth MCP server for agents — daily AI briefings, a US/UK/EU regulation tracker, regional lenses (China/EU/South America), a delta feed, semantic searc…",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 5,
        "monthly_usd": 5,
        "headline": "From $5/mo",
        "summary": "From $5/mo. Horizon offers full access to its AI intelligence briefing, searchable feed, and alerts for $5 per month."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "obsidianri",
      "name": "obsidianri",
      "url": "https://obsidianri.com/mcp",
      "short_summary": "provides verified regulatory data layer for AI assistants to answer regulatory questions with official sources",
      "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. Obsidian offers a free account plus monthly Pro, Expert 5x, and Expert 20x subscriptions from $20/month, while Enterprise pricing is custom."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "ai_regulatory_affairs_agent_mo",
      "name": "Ai Regulatory Affairs Agent Mo",
      "url": "https://v7labs.com/agents/ai-agent-for-regulatory-affairs-managers",
      "short_summary": "Monitors regulator websites across jurisdictions, identifies new consultation papers and rule changes, extracts key requirements, and generates preliminary imp…",
      "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."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "alt",
      "name": "Alt",
      "url": "https://ai-law-tracker.com",
      "short_summary": "AI Law Tracker — an audited AI-regulation data API and MCP connector. Query current AI law across 50 US states plus federal, EU, and global jurisdictions: obli…",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 1,
        "monthly_usd": 1,
        "headline": "From $1/mo",
        "summary": "From $1/mo. AI Law Tracker offers a free tier and paid API plans from $29/month, with OEM and enterprise options priced at $499/month and from $12k/year respectively."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "compliance_check",
      "name": "AI Agents for Compliance Checks",
      "url": "https://lyzr.ai/blog/ai-agents-for-compliance-checks",
      "short_summary": "autonomously monitors enterprise systems, processes, and data against regulatory rules, flags violations, generates audit reports, and orchestrates remediation",
      "price": {
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Paid (price not published)",
        "summary": "Lyzr charges per agent run, with cloud runs at $0.08 and VPC or on-premises runs at $0.03, excluding separate LLM and applicable compute usage costs."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "cpsc_recalls_mcp_server",
      "name": "Cpsc Recalls",
      "url": "https://cpsc-recalls.caseyjhand.com/mcp",
      "short_summary": "US consumer product recalls from the CPSC — hazards, remedies, and affected products.",
      "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": "lexreg",
      "name": "Lexreg",
      "url": "https://lexregpulse.com/",
      "short_summary": "Daily banking regulatory intelligence — briefings, podcast previews, and LinkedIn posts powered by LexRegPulse. Monitors 500+ regulatory sources across OCC, FD…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing was observed on the homepage, and the available pricing page was not provided."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "neimo",
      "name": "neimo",
      "url": "https://app.neimo.ai/connect",
      "short_summary": "provides cited legal intelligence and regulatory compliance information for AI agents across jurisdictions",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free tier + paid plans (price not published)",
        "summary": "Neimo offers 100 free research requests, while paid-plan pricing is available by contacting the company."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [
    {
      "agent_id": "amalthea_fs",
      "name": "Amalthea Fs",
      "url": "https://amaltheafs.com/",
      "short_summary": "Automates sustainable finance/ESG workflows across the investment lifecycle: deal sourcing & screening, sustainability due diligence, portfolio monitoring, and…",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 1145.61,
        "monthly_usd": 1325.68,
        "headline": "From $1145.61/mo",
        "summary": "From $1145.61/mo. Amalthea offers two €990/month subscription tiers, with AI Kit supporting unlimited users and AI Suite covering five users plus €290/month per additional user, alongside usage-based data and call charges."
      },
      "home_niche": "esg-reporting",
      "also_covers": true,
      "upvotes": 0
    }
  ],
  "page_url": "https://agentery.com/market/regulatory-monitoring",
  "summary": {
    "niche": "regulatory-monitoring",
    "sector": "legal",
    "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 (4 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": 4,
          "reliability": "low",
          "median": 10,
          "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": 4,
          "reliability": "low",
          "median": 83.13,
          "p25": null,
          "p75": null,
          "status": "median_only"
        },
        {
          "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": [
            174,
            299
          ]
        }
      ],
      "warnings": [
        "This niche currently has sufficient MCP pricing but insufficient agent pricing."
      ],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "regulatory-monitoring"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/regulatory-monitoring",
    "counts": {
      "listings_with_price_capture": 15,
      "listings_with_observed_public_price": 8,
      "providers_with_numeric_monthly_price_latest_scan": 6,
      "like_for_like_comparable_pairs": 5
    },
    "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": 4,
        "plan_observation_count": 5,
        "data_confidence": 0.32,
        "data_confidence_basis": {
          "provider_component": 0.33,
          "observation_component": 0.25,
          "provider_count": 4,
          "plan_observation_count": 5
        },
        "reliability": "low",
        "members": [
          {
            "provider": "horizon",
            "usd": 5
          },
          {
            "provider": "mcp23_creator",
            "usd": 10
          },
          {
            "provider": "sourceacts_mcp",
            "usd": 10
          },
          {
            "provider": "alt",
            "usd": 29
          }
        ]
      },
      {
        "tier": "pro",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 83.13,
        "provider_count": 4,
        "plan_observation_count": 6,
        "data_confidence": 0.33,
        "data_confidence_basis": {
          "provider_component": 0.33,
          "observation_component": 0.3,
          "provider_count": 4,
          "plan_observation_count": 6
        },
        "reliability": "low",
        "members": [
          {
            "provider": "sourceacts_mcp",
            "usd": 49
          },
          {
            "provider": "frigolog_haccp",
            "usd": 67.26
          },
          {
            "provider": "alt",
            "usd": 99
          },
          {
            "provider": "obsidianri",
            "usd": 100
          }
        ]
      },
      {
        "tier": "team_sme",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 236.5,
        "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": "sourceacts_mcp",
            "usd": 174
          },
          {
            "provider": "alt",
            "usd": 299
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 15,
      "listings_with_observed_public_price": 8,
      "normalized_observations": 16,
      "comparable_providers": 6,
      "strict_cohorts": 3,
      "exclusion_reasons": {
        "usage_not_monthly": 2,
        "ambiguous_cadence": 3,
        "free_or_zero": 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": {
      "usage_not_monthly": 2,
      "ambiguous_cadence": 3,
      "free_or_zero": 1
    },
    "billing_mix": {
      "usage": 1,
      "subscription": 3,
      "freemium": 4
    },
    "free_tier_share": 0.5,
    "top_providers": [
      {
        "agent_id": "automating_regulatory_complian",
        "name": "Automating Regulatory Complian",
        "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."
        },
        "observed": false
      },
      {
        "agent_id": "frigolog_haccp",
        "name": "frigolog-haccp",
        "price": {
          "observed": true,
          "billing": "subscription",
          "lowest_monthly_usd": 68.27,
          "monthly_usd": 79,
          "headline": "From $68.27/mo",
          "summary": "From $68.27/mo. Frigolog Pro coûte 59€ HT par mois sans engagement, avec toutes les fonctionnalités incluses et un essai gratuit de 14 jours."
        },
        "observed": true
      },
      {
        "agent_id": "horizon",
        "name": "Horizon",
        "price": {
          "observed": true,
          "billing": "subscription",
          "lowest_monthly_usd": 5,
          "monthly_usd": 5,
          "headline": "From $5/mo",
          "summary": "From $5/mo. Horizon offers full access to its AI intelligence briefing, searchable feed, and alerts for $5 per month."
        },
        "observed": true
      },
      {
        "agent_id": "obsidianri",
        "name": "obsidianri",
        "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. Obsidian offers a free account plus monthly Pro, Expert 5x, and Expert 20x subscriptions from $20/month, while Enterprise pricing is custom."
        },
        "observed": true
      },
      {
        "agent_id": "ai_regulatory_affairs_agent_mo",
        "name": "Ai Regulatory Affairs Agent Mo",
        "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."
        },
        "observed": false
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "regulatory-monitoring"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "regulatory-monitoring",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "automating_regulatory_complian"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "automating_regulatory_complian"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}