Due Diligence Agent
Query this niche via MCP
market_report({ query: "Due Diligence Agent", response_mode: "summary" })Agents · median
MCP servers · median
All plans — Agents vs MCPs
each dot = one provider · log scaleNo providers priced at the All tier yet.
All plans
0 pricedProvidervs 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 Due Diligence Agent (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": "due-diligence-agent",
"parent_sector": "research-knowledge-work",
"provider_type_pricing": {
"slug": "due-diligence-agent",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 83.25,
"p25": null,
"p75": null,
"providers": 3
},
"by_provider_type": {
"agent": {
"median": null,
"p25": null,
"p75": null,
"providers": 1,
"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced Agent-economy products are available."
},
"mcp": {
"median": null,
"p25": null,
"p75": null,
"providers": 2,
"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced MCP servers are available."
}
},
"recommended_cohort": null,
"recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
"fallback_context": null,
"context_note": null
},
"crowding_level": "crowded",
"observed_node_count": 8,
"adjacent_niches": [
"expert-call-summarisation",
"business-research-enrichment",
"literature-review",
"news-monitoring-agent",
"company-intelligence-agent",
"document-qa-agent"
],
"market_pulse": {
"pulse": 54,
"drivers": [
"enterprise money present"
],
"price_move_30d_pct": 0,
"money_share": 0.8333333333333334,
"entry_rate": 0,
"alive_share": 1
},
"price_move": {
"d_pct": 0,
"w_pct": 0,
"m_pct": 0,
"comparable_agents": 3,
"quarantined_agents": 0,
"confidence": "high",
"published": {
"d": false,
"w": false,
"m": false
},
"held_reason": {
"d": null,
"w": null,
"m": null
},
"driver": {
"d": null,
"w": null,
"m": null
},
"tier_contribution": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_series": {
"individual": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"pro": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"team_sme": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"enterprise": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
]
},
"tier_own_move": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_agents": {
"individual": 2,
"pro": 1,
"team_sme": 1,
"enterprise": 1
},
"obs_range": {
"d": null,
"w": null,
"m": null
},
"tier_obs_range": {
"d": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"w": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"m": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
}
}
},
"pricing": {
"sampleSize": 9,
"observed": 6,
"byPersona": {
"free": {
"n": 1,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"individual": {
"n": 10,
"nPriced": 10,
"reliability": "medium",
"median": 0.7,
"p25": 0.43,
"p75": 14.57,
"min": 0.1,
"max": 249,
"mean": 48.02,
"stdev": 95.84,
"usageShare": 0.7
},
"pro": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 49,
"p25": 49,
"p75": 49,
"min": 49,
"max": 49,
"mean": 49,
"stdev": 0,
"usageShare": 0
},
"team_sme": {
"n": 3,
"nPriced": 3,
"reliability": "low",
"median": 83.25,
"p25": 41.78,
"p75": 458.25,
"min": 0.3,
"max": 833.25,
"mean": 305.6,
"stdev": 458.84,
"usageShare": 0.33
},
"enterprise": {
"n": 6,
"nPriced": 3,
"reliability": "low",
"median": 500,
"p25": 500,
"p75": 1291.67,
"min": 500,
"max": 2083.33,
"mean": 1027.78,
"stdev": 914.14,
"usageShare": 0
}
},
"byPersonaMonthly": {
"free": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"individual": {
"nMonthly": 3,
"p25": 113.63,
"median": 208.25,
"p75": 228.63,
"confidence": "low",
"usageShare": 0.7,
"mixedBilling": true,
"monthlyComparable": true
},
"pro": {
"nMonthly": 1,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"team_sme": {
"nMonthly": 2,
"p25": 270.75,
"median": 458.25,
"p75": 645.75,
"confidence": "low",
"usageShare": 0.33,
"mixedBilling": true,
"monthlyComparable": true
},
"enterprise": {
"nMonthly": 3,
"p25": 500,
"median": 500,
"p75": 1291.67,
"confidence": "low",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": true
}
},
"byTierCohorts": {
"status": "ok",
"cohorts": [
{
"tier": "individual",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 123.82,
"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": "acrelens",
"usd": 19
},
{
"provider": "parcha_ai",
"usd": 228.63
}
]
}
],
"rejected": {
"ambiguous_cadence": 2,
"usage_not_monthly": 8,
"unrankable_or_unparseable": 1
},
"evidence": {
"status": "ok",
"single_observations": [],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 8,
"offers": [
{
"provider": "acrelens",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$19 / mo",
"monthly_usd": 19
},
{
"provider": "acrelens",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$49 / mo",
"monthly_usd": 49
},
{
"provider": "altbots",
"tier": "enterprise",
"billing": "monthly",
"unit": "flat",
"price": "$500 / month",
"monthly_usd": 500
},
{
"provider": "altbots",
"tier": "enterprise",
"billing": "monthly",
"unit": "flat",
"price": "$6,000 / year",
"monthly_usd": 500
},
{
"provider": "parcha_ai",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$2,499/year",
"monthly_usd": 208.25
},
{
"provider": "parcha_ai",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "$9,999/year",
"monthly_usd": 833.25
},
{
"provider": "parcha_ai",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$249/month",
"monthly_usd": 249
},
{
"provider": "parcha_ai",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "$999/year",
"monthly_usd": 83.25
}
]
},
{
"billing": "monthly",
"unit": "per_seat",
"count": 1,
"offers": [
{
"provider": "altbots",
"tier": "enterprise",
"billing": "monthly",
"unit": "per_seat",
"price": "From $25,000 per seat / year",
"monthly_usd": 2083.33
}
]
},
{
"billing": "usage",
"unit": "flat",
"count": 8,
"offers": [
{
"provider": "due_diligence",
"tier": "team_sme",
"billing": "usage",
"unit": "flat",
"price": "€0.30 per answered call",
"monthly_usd": null
},
{
"provider": "due_diligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "€0.65 per answered call",
"monthly_usd": null
},
{
"provider": "due_diligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "€0.15 per answered call",
"monthly_usd": null
},
{
"provider": "due_diligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "€0.35 per answered call",
"monthly_usd": null
},
{
"provider": "due_diligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "€0.70 per answered call",
"monthly_usd": null
},
{
"provider": "due_diligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "€0.70 per answered call",
"monthly_usd": null
},
{
"provider": "due_diligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "€0.10 per answered call",
"monthly_usd": null
},
{
"provider": "due_diligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "€1.29 per answered call",
"monthly_usd": null
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "acrelens",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom pricing",
"monthly_usd": null
},
{
"provider": "parcha_ai",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 4,
"normalized_observations": 9,
"comparable_providers": 3,
"strict_cohorts": 1,
"exclusion_reasons": {
"ambiguous_cadence": 2,
"usage_not_monthly": 8,
"unrankable_or_unparseable": 1
}
}
}
},
"quoteOnlyProvidersByTier": {
"individual": 0,
"team_sme": 0,
"enterprise": 3,
"pro": 0
},
"billingMix": {
"subscription": 2,
"freemium": 1,
"usage": 1,
"contact_sales": 2
},
"freeTierShare": 0.17,
"medianLowestUsd": 83.25
},
"movement": null,
"index_series": {
"series": [
{
"day": "2026-09-16",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-17",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-18",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-19",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-20",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-21",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-22",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-23",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-24",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-25",
"index": 100,
"pairs": 6,
"dayChangePct": 0
},
{
"day": "2026-09-26",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-27",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-28",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-29",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-30",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-01",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-02",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-03",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-04",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-05",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-06",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-07",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-08",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-09",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-10",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-11",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-12",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-13",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-14",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-15",
"index": 100,
"pairs": 5,
"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": "acrelens",
"name": "acrelens",
"url": "https://acrelens.com",
"short_summary": "analyzes US land parcels for suitability across off-grid living, rural residential, recreational use, and investment potential with 0-100 scores",
"price": {
"commercial": {
"entry_offer": {
"line": "Starter",
"monthly_native": 19,
"monthly_usd": 19,
"commitment": "monthly",
"basis": "$19/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Starter",
"price": "$19 / mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$49 / mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Enterprise",
"price": "Custom pricing",
"kind": "custom"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 19,
"monthly_usd": 19,
"headline": "Free plan; paid from $19/mo",
"summary": "Free plan; paid from $19/mo. AcreLens offers a permanent free tier with 3 reports per month, paid self-serve plans at $19 and $49 per month, and custom enterprise pricing."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "ai_buyer_identification_agent_",
"name": "AI Investment Banking Buyer Identification Agent",
"url": "https://v7labs.com/agents/ai-investment-banking-buyer-identification-agent",
"short_summary": "Creates and prioritizes M&A buyer lists by analyzing a target company and market data to identify strategic and financial buyers",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Custom quote",
"price": "Custom quote",
"kind": "custom"
}
]
},
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Contact sales (no public price). V7 does not publish standard prices; annual agreements are custom-scoped based on platform access, users, and document volume."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "altbots",
"name": "AltBots",
"url": "https://altbots.io/",
"short_summary": "generates institutional-grade research and diligence reports on hedge funds, private equity and venture capital managers",
"price": {
"commercial": {
"entry_offer": {
"line": "API and MCP Access",
"monthly_native": 500,
"monthly_usd": 500,
"commitment": "monthly",
"basis": "$500/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "API and MCP Access",
"price": "$500 / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Raw Data Feed",
"price": "$6,000 / year",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Enterprise Dashboard",
"price": "From $25,000 per seat / year",
"kind": "base_subscription",
"unit": "seat",
"billed": "annually"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 500,
"monthly_usd": 500,
"headline": "From $500/mo",
"summary": "From $500/mo. Public plans start at $500 per month for API and MCP access, with a $6,000 annual raw data feed and enterprise dashboard pricing from $25,000 per seat per year."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "parcha_ai",
"name": "AI-powered institutional-grade verification",
"url": "https://parcha.ai/agents/enhanced-due-diligence",
"short_summary": "performs automated enhanced due diligence and business verification with comprehensive risk analysis for high-risk entities",
"price": {
"commercial": {
"entry_offer": {
"line": "Growth",
"monthly_native": 83.25,
"monthly_usd": 83.25,
"commitment": "annual",
"basis": "$999/year (annual commitment) = $83.25/month equivalent"
},
"currency": "USD",
"lines": [
{
"name": "Starter",
"price": "$2,499/year",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Growth",
"price": "$9,999/year",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
},
{
"name": "Starter",
"price": "$249/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Growth",
"price": "$999/year",
"kind": "base_subscription",
"billed": "annually"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 83.25,
"monthly_usd": 83.25,
"headline": "From $83.25/mo (annual commitment)",
"summary": "From $83.25/mo (annual commitment). Paid Starter and Growth plans are publicly listed at $2,499/year and $9,999/year, with an additional monthly view showing Starter at $249/month and Enterprise available by contact."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "compyle",
"name": "Compyle",
"url": "https://compyle.ai/",
"short_summary": "automates the production work behind Phase I Environmental Site Assessments (ESAs) — from historical data collection and analysis through drafting report secti…",
"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": "due_diligence",
"name": "Due Diligence",
"url": "https://api.tvarka.pro/docs",
"short_summary": "Due diligence on Lithuanian companies, straight from the state registers, for agents that need to know who they are dealing with. Seven tools, each keyed by th…",
"price": {
"commercial": {
"rates": [
{
"line": "Company profile",
"per": "per call",
"text": "€0.3 per call"
},
{
"line": "Shareholders and members",
"per": "per call",
"text": "€0.65 per call"
},
{
"line": "Beneficial owners",
"per": "per call",
"text": "€0.15 per call"
},
{
"line": "Real property held",
"per": "per call",
"text": "€0.35 per call"
},
{
"line": "Property object extract",
"per": "per call",
"text": "€0.7 per call"
},
{
"line": "Property seizure acts",
"per": "per call",
"text": "€0.7 per call"
},
{
"line": "Court cases",
"per": "per call",
"text": "€0.1 per call"
},
{
"line": "Full due-diligence report",
"per": "per call",
"text": "€1.29 per call"
}
],
"currency": "EUR",
"notes": [
"prices in EUR as published; USD figures are conversions at 2026-10-14"
],
"lines": [
{
"name": "Company profile",
"price": "€0.30 per answered call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Shareholders and members",
"price": "€0.65 per answered call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Beneficial owners",
"price": "€0.15 per answered call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Real property held",
"price": "€0.35 per answered call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Property object extract",
"price": "€0.70 per answered call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Property seizure acts",
"price": "€0.70 per answered call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Court cases",
"price": "€0.10 per answered call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Full due-diligence report",
"price": "€1.29 per answered call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "€0.3 per call; €0.65 per call (usage-based)",
"summary": "€0.3 per call; €0.65 per call (usage-based). Tvarka Due Diligence charges per answered API call, with endpoint prices ranging from €0.10 to €5.78 depending on the response format, excluding VAT."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "verifimind_genesis",
"name": "verifimind-genesis",
"url": "https://smithery.ai/server/creator35lwb-web/verifimind-genesis",
"short_summary": "Validate concepts end-to-end across innovation, ethics, and security. Identify market opportunities, competitive positioning, privacy and fairness risks, and s…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for verifimind-genesis on the supplied homepage."
},
"evidence_quality": "low",
"upvotes": 0
},
{
"agent_id": "due_diligence_agent",
"name": "Due Diligence Agent",
"url": "https://unique.ai/ai-factory/due-diligence-agent",
"short_summary": "Analyzes due diligence documents, meeting transcripts, and past investment evaluations to generate potential questions, identify recurring concerns, and highli…",
"price": {
"commercial": {
"currency": "USD",
"lines": []
},
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Contact sales (no public price). Pricing is not publicly listed; prospective buyers are directed to contact an expert."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "fonction_labs_due_diligence",
"name": "Fonction Labs Due Diligence",
"url": "https://fonctionlabs.com/usecases/due-diligence",
"short_summary": "AI-powered due diligence solution that automates document analysis, risk assessment, and data extraction for investment professionals, M&A teams, and complianc…",
"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": [
{
"agent_id": "apex_arena",
"name": "Apex Arena",
"url": "https://arena.apexfdn.xyz",
"short_summary": "Operator workspace for crypto/Web3 founders with AI-powered copilots for due diligence scoring, portfolio matching, fund discovery, hackathon tracking, and jur…",
"price": {
"observed": false,
"billing": "failed_to_load",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"home_niche": "business-research-enrichment",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/due-diligence-agent",
"summary": {
"niche": "due-diligence-agent",
"sector": "research-knowledge-work",
"pricing_by_provider_type": {
"headline": "No published benchmark for due-diligence-agent 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": "due-diligence-agent"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/due-diligence-agent",
"counts": {
"listings_with_price_capture": 9,
"listings_with_observed_public_price": 6,
"providers_with_numeric_monthly_price_latest_scan": null,
"like_for_like_comparable_pairs": null
},
"movement": {
"d": {
"published": false,
"value_pct": null,
"held_reason": null
},
"w": {
"published": false,
"value_pct": null,
"held_reason": null
},
"m": {
"published": false,
"value_pct": null,
"held_reason": null
}
},
"pricing_version": "cohorts-1",
"pricing_status": "ok",
"pricing_by_tier": [
{
"tier": "individual",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 123.82,
"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": "acrelens",
"usd": 19
},
{
"provider": "parcha_ai",
"usd": 228.63
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 9,
"listings_with_observed_public_price": 6,
"normalized_observations": 9,
"comparable_providers": 3,
"strict_cohorts": 1,
"exclusion_reasons": {
"ambiguous_cadence": 2,
"usage_not_monthly": 8,
"unrankable_or_unparseable": 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": 2,
"usage_not_monthly": 8,
"unrankable_or_unparseable": 1
},
"billing_mix": {
"subscription": 2,
"freemium": 1,
"usage": 1,
"contact_sales": 2
},
"free_tier_share": 0.17,
"top_providers": [
{
"agent_id": "acrelens",
"name": "acrelens",
"price": {
"commercial": {
"entry_offer": {
"line": "Starter",
"monthly_native": 19,
"monthly_usd": 19,
"commitment": "monthly",
"basis": "$19/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Starter",
"price": "$19 / mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$49 / mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Enterprise",
"price": "Custom pricing",
"kind": "custom"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 19,
"monthly_usd": 19,
"headline": "Free plan; paid from $19/mo",
"summary": "Free plan; paid from $19/mo. AcreLens offers a permanent free tier with 3 reports per month, paid self-serve plans at $19 and $49 per month, and custom enterprise pricing."
},
"observed": true
},
{
"agent_id": "ai_buyer_identification_agent_",
"name": "AI Investment Banking Buyer Identification Agent",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Custom quote",
"price": "Custom quote",
"kind": "custom"
}
]
},
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Contact sales (no public price). V7 does not publish standard prices; annual agreements are custom-scoped based on platform access, users, and document volume."
},
"observed": true
},
{
"agent_id": "altbots",
"name": "AltBots",
"price": {
"commercial": {
"entry_offer": {
"line": "API and MCP Access",
"monthly_native": 500,
"monthly_usd": 500,
"commitment": "monthly",
"basis": "$500/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "API and MCP Access",
"price": "$500 / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Raw Data Feed",
"price": "$6,000 / year",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Enterprise Dashboard",
"price": "From $25,000 per seat / year",
"kind": "base_subscription",
"unit": "seat",
"billed": "annually"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 500,
"monthly_usd": 500,
"headline": "From $500/mo",
"summary": "From $500/mo. Public plans start at $500 per month for API and MCP access, with a $6,000 annual raw data feed and enterprise dashboard pricing from $25,000 per seat per year."
},
"observed": true
},
{
"agent_id": "parcha_ai",
"name": "AI-powered institutional-grade verification",
"price": {
"commercial": {
"entry_offer": {
"line": "Growth",
"monthly_native": 83.25,
"monthly_usd": 83.25,
"commitment": "annual",
"basis": "$999/year (annual commitment) = $83.25/month equivalent"
},
"currency": "USD",
"lines": [
{
"name": "Starter",
"price": "$2,499/year",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Growth",
"price": "$9,999/year",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
},
{
"name": "Starter",
"price": "$249/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Growth",
"price": "$999/year",
"kind": "base_subscription",
"billed": "annually"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 83.25,
"monthly_usd": 83.25,
"headline": "From $83.25/mo (annual commitment)",
"summary": "From $83.25/mo (annual commitment). Paid Starter and Growth plans are publicly listed at $2,499/year and $9,999/year, with an additional monthly view showing Starter at $249/month and Enterprise available by contact."
},
"observed": true
},
{
"agent_id": "compyle",
"name": "Compyle",
"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": "due-diligence-agent"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "due-diligence-agent",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "acrelens"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "acrelens"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
3 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
acrelensanalyzes US land parcels for suitability across off-grid living, rural residential, recreational use, and investment potential with 0-100 scores
AltBotsgenerates institutional-grade research and diligence reports on hedge funds, private equity and venture capital managers
AI-powered institutional-grade verificationperforms automated enhanced due diligence and business verification with comprehensive risk analysis for high-risk entitiesShowing only providers with a published price or a free plan. $29 = lowest observed monthly · Free = free to use · Free tier = free plan + paid options.