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Clinical Trial Recruitment

Query this niche via MCPmarket_report({ query: "Clinical Trial Recruitment", response_mode: "summary" })
active marketmarket pulse 45/1000 new builders in 30d4 listings
basis: all observed monthly plans · commercial-form-v2
Agents · median
None priced — too few for a Agents median.
MCP servers · median
None priced — too few for a MCP servers median.

All plans — Agents vs MCPs

each dot = one provider · log scale
No providers priced at the All tier yet.

All plans

0 priced
Providervs its cohort medianMonthly
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
What the figures on this page are. This page is Agentery's fixed-niche view of Clinical Trial Recruitment (latest observation 2026-10-15T03:43:03.005Z). The headline medians above are computed from that data per delivery type and buyer-tier tab: on a tier tab, the median of each provider's plan at that tier; on “All”, every priced plan point across tiers pooled. Small cohorts show as “too few” rather than a median. The embedded response below is the broader fixed-niche report: its by_provider_type.*.median pools all tiers, pricing.byPersona.* is per buyer tier, and the unit cohorts (e.g. Pro flat) are per tier and billing unit — so those blocks legitimately differ from one headline figure. Over MCP today the advertised tools are market_report (a semantic neighbourhood for your query, not this fixed niche) and price_benchmark (query/task); niche_report stays callable as a legacy alias. Their cohorts are defined differently, so their numbers can differ from this page.
market_reportprice_benchmark
See the MCP response behind this pagefixed-niche report (legacy niche_report alias, full mode) — broader than the headline figure
{
  "niche": "clinical-trial-recruitment",
  "parent_sector": "healthcare-ops",
  "provider_type_pricing": {
    "slug": "clinical-trial-recruitment",
    "pricing_basis": "lowest_observed_monthly_usd",
    "provider_type_methodology": "commercial-form-v2",
    "provider_type_methodology_published_at": "2026-07-31",
    "blended": {
      "median": null,
      "p25": null,
      "p75": null,
      "providers": 0
    },
    "by_provider_type": {
      "agent": {
        "median": null,
        "p25": null,
        "p75": null,
        "providers": 0,
        "publishable": false,
        "confidence": "insufficient",
        "reason": "Fewer than three comparable priced Agent-economy products are available."
      },
      "mcp": {
        "median": null,
        "p25": null,
        "p75": null,
        "providers": 0,
        "publishable": false,
        "confidence": "insufficient",
        "reason": "Fewer than three comparable priced MCP servers are available."
      }
    },
    "recommended_cohort": null,
    "recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
    "fallback_context": null,
    "context_note": null
  },
  "crowding_level": "empty",
  "observed_node_count": 0,
  "adjacent_niches": [
    "claims-denial-management",
    "hcc-risk-adjustment",
    "pharmacy-benefits-management",
    "medical-billing-codes",
    "veterinary-triage",
    "ai-pharma-research"
  ],
  "market_pulse": {
    "pulse": 45,
    "drivers": [],
    "price_move_30d_pct": null,
    "money_share": null,
    "entry_rate": 0,
    "alive_share": 1
  },
  "price_move": {
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    "comparable_agents": 1,
    "quarantined_agents": 0,
    "confidence": "insufficient",
    "published": {
      "d": false,
      "w": false,
      "m": false
    },
    "held_reason": {
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    "driver": {
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    },
    "tier_contribution": {
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      },
      "w": {
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      },
      "m": {
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    },
    "tier_series": {
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      "enterprise": [
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    },
    "tier_own_move": {
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    },
    "tier_agents": {
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    "obs_range": {
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    "tier_obs_range": {
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  },
  "pricing": {
    "sampleSize": 4,
    "observed": 1,
    "byPersona": {
      "free": {
        "n": 0,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
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      "individual": {
        "n": 1,
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        "p25": 0.01,
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        "mean": 0.01,
        "stdev": 0,
        "usageShare": 1
      },
      "pro": {
        "n": 0,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
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        "max": null,
        "mean": null,
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        "usageShare": 0
      },
      "team_sme": {
        "n": 0,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
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        "usageShare": 0
      },
      "enterprise": {
        "n": 0,
        "nPriced": 0,
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        "usageShare": 0
      }
    },
    "byPersonaMonthly": {
      "free": {
        "nMonthly": 0,
        "p25": null,
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        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "individual": {
        "nMonthly": 0,
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        "confidence": "none",
        "usageShare": 1,
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        "monthlyComparable": false
      },
      "pro": {
        "nMonthly": 0,
        "p25": null,
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        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "team_sme": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "enterprise": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      }
    },
    "byTierCohorts": {
      "status": "insufficient",
      "cohorts": [],
      "rejected": {
        "usage_not_monthly": 1
      },
      "evidence": {
        "status": "observed_offers_only",
        "single_observations": [],
        "observed_offers": [
          {
            "billing": "usage",
            "unit": "flat",
            "count": 1,
            "offers": [
              {
                "provider": "llmwatch",
                "tier": "individual",
                "billing": "usage",
                "unit": "flat",
                "price": "$0.01/query",
                "monthly_usd": null
              }
            ]
          }
        ],
        "coverage": {
          "priced_providers": 1,
          "normalized_observations": 0,
          "comparable_providers": 0,
          "strict_cohorts": 0,
          "exclusion_reasons": {
            "usage_not_monthly": 1
          }
        }
      }
    },
    "quoteOnlyProvidersByTier": {
      "individual": 0
    },
    "billingMix": {
      "usage": 1
    },
    "freeTierShare": 0,
    "medianLowestUsd": null
  },
  "movement": null,
  "index_series": {
    "series": [
      {
        "day": "2026-09-15",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-16",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-17",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-18",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-19",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-20",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-21",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-22",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-23",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-24",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-25",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-27",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-28",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-29",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-30",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-01",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-02",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-03",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-04",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-05",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-06",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-07",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-08",
        "index": 100,
        "pairs": 0,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-09",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-10",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-11",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-12",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-13",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-14",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-15",
        "index": 100,
        "pairs": 1,
        "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": "agentic_ai_for_clinical_trials",
      "name": "Agentic AI for Clinical Trials",
      "url": "https://medable.com/platform/agent-studio",
      "short_summary": "Provides AI agents for clinical trial operations: clinical monitoring (identifying site risks, pre-visit summaries), eTMF document filing, and PI/eCOA summary…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public subscription pricing was observed for Medable Agent Platform."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "agilisium",
      "name": "Agilisium",
      "url": "https://agilisium.com/context-ai/clinical/site-management",
      "short_summary": "Provides clinical operations teams with site performance benchmarking, patient retention prediction, query management, and training optimization across clinica…",
      "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": "llmwatch",
      "name": "Llmwatch",
      "url": "https://smithery.ai/server/z37/llmwatch",
      "short_summary": "Medical research: new trial results tracker. $0.01/query. Register in-session — free testnet funds.",
      "price": {
        "commercial": {
          "rates": [
            {
              "line": "LLMWatch query",
              "per": "per query",
              "text": "$0.01 per query"
            }
          ],
          "currency": "USD",
          "lines": [
            {
              "name": "LLMWatch query",
              "price": "$0.01/query",
              "kind": "usage_rate",
              "unit": "query",
              "billed": "usage"
            }
          ]
        },
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "$0.01 per query (usage-based)",
        "summary": "$0.01 per query (usage-based). LLMWatch is priced at $0.01 per query, with a free preview and free testnet funds for testing."
      },
      "evidence_quality": "low",
      "upvotes": 0
    },
    {
      "agent_id": "grove_ai",
      "name": "Grove Ai",
      "url": "https://grovetrials.com/",
      "short_summary": "Grove AI provides Grace, an AI agent for clinical trial recruitment, participant engagement, prescreening, scheduling, and operational workflows for research s…",
      "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": "unclear",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [],
  "page_url": "https://agentery.com/market/clinical-trial-recruitment",
  "summary": {
    "niche": "clinical-trial-recruitment",
    "sector": "healthcare-ops",
    "pricing_by_provider_type": {
      "headline": "No published benchmark for clinical-trial-recruitment yet — too few comparable priced providers.",
      "benchmarks": [],
      "warnings": [
        "No priced providers meet the benchmark bar for this scope."
      ],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "clinical-trial-recruitment"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/clinical-trial-recruitment",
    "counts": {
      "listings_with_price_capture": 4,
      "listings_with_observed_public_price": 1,
      "providers_with_numeric_monthly_price_latest_scan": null,
      "like_for_like_comparable_pairs": null
    },
    "movement": {
      "d": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "w": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "m": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      }
    },
    "pricing_version": "cohorts-1",
    "pricing_status": "observed_offers_only",
    "pricing_by_tier": null,
    "observed_offers": [
      {
        "billing": "usage",
        "unit": "flat",
        "count": 1,
        "offers": [
          {
            "provider": "llmwatch",
            "tier": "individual",
            "billing": "usage",
            "unit": "flat",
            "price": "$0.01/query",
            "monthly_usd": null
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 4,
      "listings_with_observed_public_price": 1,
      "normalized_observations": 0,
      "comparable_providers": 0,
      "strict_cohorts": 0,
      "exclusion_reasons": {
        "usage_not_monthly": 1
      }
    },
    "pricing_note": "No comparable cohort formed (a benchmark needs >=2 providers sharing a buyer tier AND billing unit). observed_offers lists the REAL provider offers, grouped and labelled by billing type — each is a single observed price, never aggregated across mixed units, periods or tiers.",
    "pricing_excluded_observations": {
      "usage_not_monthly": 1
    },
    "billing_mix": {
      "usage": 1
    },
    "free_tier_share": 0,
    "top_providers": [
      {
        "agent_id": "agentic_ai_for_clinical_trials",
        "name": "Agentic AI for Clinical Trials",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public subscription pricing was observed for Medable Agent Platform."
        },
        "observed": false
      },
      {
        "agent_id": "agilisium",
        "name": "Agilisium",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public price found on the vendor site."
        },
        "observed": false
      },
      {
        "agent_id": "llmwatch",
        "name": "Llmwatch",
        "price": {
          "commercial": {
            "rates": [
              {
                "line": "LLMWatch query",
                "per": "per query",
                "text": "$0.01 per query"
              }
            ],
            "currency": "USD",
            "lines": [
              {
                "name": "LLMWatch query",
                "price": "$0.01/query",
                "kind": "usage_rate",
                "unit": "query",
                "billed": "usage"
              }
            ]
          },
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "$0.01 per query (usage-based)",
          "summary": "$0.01 per query (usage-based). LLMWatch is priced at $0.01 per query, with a free preview and free testnet funds for testing."
        },
        "observed": true
      },
      {
        "agent_id": "grove_ai",
        "name": "Grove Ai",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public price found on the vendor site."
        },
        "observed": false
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "clinical-trial-recruitment"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "clinical-trial-recruitment",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "agentic_ai_for_clinical_trials"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "agentic_ai_for_clinical_trials"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}
Full market

0 providers, one sortable view

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

ProviderTypeFromVs niche medianLiveness
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.