Autonomous AI Research Lab
Query this niche via MCP
niche_report({ niche: "autonomous-ai-research-lab" })Agents · median
$60/mo
MCP servers · median
All plans — Agents vs MCPs
each dot = one provider · log scaleAgents $60
Deepresearch Bench · $50
aster · $60
K Dense · $199
$50
$100
AgentsMCP serversshaded = middle half · line = median
All plans
3 pricedProvidervs its cohort medianMonthly
Deepresearch Benchagent
$50 below
asteragent
$60 ~median
K Denseagent
$199 above
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
This page is the human view of the MCP answer. The same structured `niche_report` / `price_benchmark` an agent receives over MCP or REST.
niche_reportprice_benchmark
See the MCP response behind this pageniche_report
{
"niche": "autonomous-ai-research-lab",
"parent_sector": "research-knowledge-work",
"provider_type_pricing": {
"slug": "autonomous-ai-research-lab",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 20,
"p25": null,
"p75": null,
"providers": 3
},
"by_provider_type": {
"agent": {
"median": 20,
"p25": null,
"p75": null,
"providers": 3,
"publishable": true,
"confidence": "provisional"
},
"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": "emerging",
"observed_node_count": 4,
"adjacent_niches": [
"expert-call-summarisation",
"business-research-enrichment",
"literature-review",
"news-monitoring-agent",
"company-intelligence-agent",
"document-qa-agent"
],
"market_pulse": {
"pulse": 48,
"drivers": [
"enterprise money present",
"2 new builders in 30d"
],
"price_move_30d_pct": null,
"money_share": 0.42857142857142855,
"entry_rate": 0.06060606060606061,
"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
],
"pro": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"team_sme": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"enterprise": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
]
},
"tier_own_move": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_agents": {
"individual": 1,
"pro": 2,
"team_sme": 1,
"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": 28,
"observed": 7,
"byPersona": {
"free": {
"n": 2,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"individual": {
"n": 5,
"nPriced": 5,
"reliability": "medium",
"median": 9,
"p25": 8,
"p75": 9,
"min": 7,
"max": 20,
"mean": 10.6,
"stdev": 5.32,
"usageShare": 0.6
},
"pro": {
"n": 4,
"nPriced": 4,
"reliability": "low",
"median": 75,
"p25": 42.5,
"p75": 124.75,
"min": 20,
"max": 199,
"mean": 92.25,
"stdev": 78.44,
"usageShare": 0
},
"team_sme": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 499,
"p25": 499,
"p75": 499,
"min": 499,
"max": 499,
"mean": 499,
"stdev": 0,
"usageShare": 0
},
"enterprise": {
"n": 2,
"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": 2,
"p25": 11.75,
"median": 14.5,
"p75": 17.25,
"confidence": "low",
"usageShare": 0.6,
"mixedBilling": true,
"monthlyComparable": true
},
"pro": {
"nMonthly": 4,
"p25": 42.5,
"median": 75,
"p75": 124.75,
"confidence": "low",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": true
},
"team_sme": {
"nMonthly": 1,
"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": "ok",
"cohorts": [
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 60,
"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": "deepresearch_bench",
"usd": 50
},
{
"provider": "aster",
"usd": 60
},
{
"provider": "k_dense",
"usd": 199
}
]
}
],
"rejected": {
"usage_not_monthly": 3,
"ambiguous_cadence": 2
},
"evidence": {
"status": "ok",
"single_observations": [],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 7,
"offers": [
{
"provider": "aster",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$20 per month",
"monthly_usd": 20
},
{
"provider": "aster",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$100 per month",
"monthly_usd": 100
},
{
"provider": "deepresearch_bench",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$9 /mo",
"monthly_usd": 9
},
{
"provider": "deepresearch_bench",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$20 /mo",
"monthly_usd": 20
},
{
"provider": "deepresearch_bench",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$50 /mo",
"monthly_usd": 50
},
{
"provider": "k_dense",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$199/month",
"monthly_usd": 199
},
{
"provider": "k_dense",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "$499/month",
"monthly_usd": 499
}
]
},
{
"billing": "usage",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "bios",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "under $7",
"monthly_usd": null
},
{
"provider": "k_dense",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$9/run or $29/run",
"monthly_usd": null
}
]
},
{
"billing": "usage",
"unit": "other_usage",
"count": 1,
"offers": [
{
"provider": "bios",
"tier": "individual",
"billing": "usage",
"unit": "other_usage",
"price": "$8 of compute per run",
"monthly_usd": null
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "aster",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
},
{
"provider": "k_dense",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 4,
"normalized_observations": 7,
"comparable_providers": 3,
"strict_cohorts": 1,
"exclusion_reasons": {
"usage_not_monthly": 3,
"ambiguous_cadence": 2
}
}
}
},
"billingMix": {
"usage": 1,
"free": 2,
"subscription": 2,
"contact_sales": 1,
"freemium": 1
},
"freeTierShare": 0.43,
"medianLowestUsd": 20
},
"movement": null,
"index_series": {
"series": [
{
"day": "2026-07-19",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-20",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-21",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-22",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-23",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-24",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-25",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-26",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-27",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-28",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-29",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-30",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-31",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-01",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-02",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-03",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-04",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-05",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-06",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-07",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-08",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-09",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-10",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-11",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-12",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-13",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-14",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-15",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-16",
"index": 100,
"pairs": 4,
"dayChangePct": 0
},
{
"day": "2026-08-17",
"index": 100,
"pairs": 4,
"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_lab_automation_",
"name": "Agentic Ai For Lab Automation",
"url": "https://qpillars.com/agentic-ai/lab-automation",
"short_summary": "Orchestrates multi-step laboratory workflows including sample prep, plate handling, instrument scheduling, and protocols by planning, validating, and executing…",
"price": {
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Custom AI agent engagements are offered at a fixed price, with the full scope and price available on request."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "aris",
"name": "ARIS (Auto-Research-In-Sleep)",
"url": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"short_summary": "autonomous ML research workflow — plans, drafts, runs experiments, scores papers, identifies weaknesses, and rewrites narrative using cross-model adversarial r…",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "GitHub offers a free plan, a Team plan at $4 per user/month, and Enterprise starting at $21 per user/month."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "autoresearch",
"name": "AutoResearch",
"url": "https://github.com/karpathy/autoresearch",
"short_summary": "autonomously experiments with LLM training code—modifies architecture, hyperparameters, and optimizer, trains for a 5-minute budget, evaluates, and keeps or di…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing was observed for autoresearch in the supplied repository content."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "bios",
"name": "Bios",
"url": "https://ai.bio.xyz/",
"short_summary": "performs biomedical research tasks via literature analysis and data analysis, orchestrating specialized subagents",
"price": {
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "The homepage cites usage-based compute costs of under $7 for the pipeline and $8 per design run, but provides no subscription plan pricing."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "deepmind",
"name": "Deepmind",
"url": "https://deepmind.google/",
"short_summary": "Conducts frontier AI research and builds AI models for content generation, scientific discovery, and agentic action (e.g. Gemini, AlphaFold, image/video/music…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public SaaS or agent pricing was observed on the supplied Google DeepMind homepage."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "manifold_ai",
"name": "Manifold Ai",
"url": "https://manifold.ai/platform/ai-agents",
"short_summary": "Orchestrates domain-specialized AI agents to accelerate scientific research—generating cohorts, tables, visualizations, exploring datasets, estimating cohort 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": "medium",
"upvotes": 0
},
{
"agent_id": "aster",
"name": "Aster",
"url": "https://asterlab.ai/",
"short_summary": "conducts autonomous AI research and experimentation, including optimization of code and LLMs",
"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. Aster offers a permanent free plan, Pro at $20 per month, Max at $100 per month, and custom Enterprise pricing."
},
"evidence_quality": "low",
"upvotes": 0
},
{
"agent_id": "deepresearch_bench",
"name": "Deepresearch Bench",
"url": "https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard",
"short_summary": "hosts a benchmark leaderboard for deep research AI models",
"price": {
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 9,
"monthly_usd": 9,
"headline": "From $9/mo",
"summary": "From $9/mo. The pricing page visibly lists monthly prices of $9, $20, and $50, but the supplied text does not identify the corresponding plan names or features."
},
"evidence_quality": "low",
"upvotes": 0
},
{
"agent_id": "dotmatics_luma",
"name": "Luma AI Co-scientist",
"url": "https://www.dotmatics.com/luma",
"short_summary": "Manages, normalizes, and structures scientific R&D data and runs adaptive scientific workflows; provides AI-driven decision support for research",
"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": "hillclimb",
"name": "Hillclimb",
"url": "https://hillclimb.com/",
"short_summary": "aggregates human research data and automates RL environment creation to produce training data for AI models",
"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
}
],
"platforms_also_here": [
{
"agent_id": "bitterbot",
"name": "Bitterbot",
"url": "https://bitterbot.ai",
"short_summary": "Open-source AI agent for research, data analysis, and task automation. Features P2P mesh networking, skill marketplace, and distributed intelligence with biolo…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or paid plan details were observed on the homepage."
},
"home_niche": "agent-framework-open-source",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "firecrawl_agent",
"name": "Firecrawl Agent Stack",
"url": "https://www.firecrawl.dev/blog/firecrawl-agent-open-source",
"short_summary": "autonomous web research and structured data extraction; builds and deploys custom web research agents using a plan-act loop with parallel sub-agents",
"price": {
"observed": false,
"billing": "subscription",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "The pricing page indicates subscription plans such as Hobby, Standard, and Growth, with publicly displayed euro-denominated prices, but the supplied context does not associate specific prices with individual plans."
},
"home_niche": "deep-research-agent",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "lingtrade",
"name": "Lingtrade",
"url": "https://github.com/novalgo-x/LingTrade",
"short_summary": "Open-source multi-agent AI research workstation for A-share stock analysis. Features collaborative agent-based research, simulated trading loop, custom knowled…",
"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 LingTrade, which is described as an open-source locally deployable AI investment research workstation."
},
"home_niche": "quantitative-analysis-agent",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "mirothinker",
"name": "Mirothinker",
"url": "https://miromind.ai/",
"short_summary": "deep research and prediction for complex tasks across domains (e.g. research, failure analysis, hypothesis generation, contract analysis, risk modeling)",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 4.99,
"monthly_usd": 4.99,
"headline": "Free tier, then from $4.99/mo",
"summary": "Free tier, then from $4.99/mo. MiroMind offers a freemium model with a free tier (100 daily credits) and a Pro subscription at $19/month (20,000 monthly credits), plus one-time credit boost packs."
},
"home_niche": "deep-research-agent",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "morphmind",
"name": "Morphmind",
"url": "https://morphmind.ai",
"short_summary": "Platform for building controllable AI agents with full visibility and reproducibility. Offers AgentLab (no-code agent builder), Caliper (lab automation), and M…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "MorphMind mentions free access and plans ranging from individuals to enterprise but publishes no observable prices."
},
"home_niche": "agent-builder-no-code",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/autonomous-ai-research-lab",
"summary": {
"niche": "autonomous-ai-research-lab",
"sector": "research-knowledge-work",
"pricing_by_provider_type": {
"headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: Agents · Pro median $60/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": 60,
"p25": null,
"p75": null,
"status": "median_only"
}
],
"warnings": [
"This niche currently has sufficient agent pricing but insufficient MCP pricing."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "autonomous-ai-research-lab"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/autonomous-ai-research-lab",
"counts": {
"listings_with_price_capture": 28,
"listings_with_observed_public_price": 7,
"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": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 60,
"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": "deepresearch_bench",
"usd": 50
},
{
"provider": "aster",
"usd": 60
},
{
"provider": "k_dense",
"usd": 199
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 28,
"listings_with_observed_public_price": 7,
"normalized_observations": 7,
"comparable_providers": 3,
"strict_cohorts": 1,
"exclusion_reasons": {
"usage_not_monthly": 3,
"ambiguous_cadence": 2
}
},
"pricing_note": "Provider-deduped, FX-normalized monthly medians, separated by buyer tier AND billing unit (flat/per_seat/per_user/per_agent) — incompatible units are never blended. Ranges (p25/p75) only at >=5 providers; data_confidence is provider-count-weighted. Usage-metered, promo, range, one-time and ambiguous-cadence plans are excluded.",
"pricing_excluded_observations": {
"usage_not_monthly": 3,
"ambiguous_cadence": 2
},
"billing_mix": {
"usage": 1,
"free": 2,
"subscription": 2,
"contact_sales": 1,
"freemium": 1
},
"free_tier_share": 0.43,
"top_providers": [
{
"agent_id": "agentic_ai_for_lab_automation_",
"name": "Agentic Ai For Lab Automation",
"price": {
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Custom AI agent engagements are offered at a fixed price, with the full scope and price available on request."
},
"observed": true
},
{
"agent_id": "aris",
"name": "ARIS (Auto-Research-In-Sleep)",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "GitHub offers a free plan, a Team plan at $4 per user/month, and Enterprise starting at $21 per user/month."
},
"observed": false
},
{
"agent_id": "autoresearch",
"name": "AutoResearch",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing was observed for autoresearch in the supplied repository content."
},
"observed": false
},
{
"agent_id": "bios",
"name": "Bios",
"price": {
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "The homepage cites usage-based compute costs of under $7 for the pipeline and $8 per design run, but provides no subscription plan pricing."
},
"observed": true
},
{
"agent_id": "deepmind",
"name": "Deepmind",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public SaaS or agent pricing was observed on the supplied Google DeepMind homepage."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "autonomous-ai-research-lab"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "autonomous-ai-research-lab",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "agentic_ai_for_lab_automation_"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "agentic_ai_for_lab_automation_"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
5 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
Asterconducts autonomous AI research and experimentation, including optimization of code and LLMs
Deepresearch Benchhosts a benchmark leaderboard for deep research AI models
DreamwalkAn open-source client kit for connecting humans and AI systems to a live research exchange. It supports searching tested idea fragments, submitting ideas for b…
K DenseAI agents for autonomous research execution across science, engineering, healthcare, and finance. Hosted platform with 250+ database access, enterprise deploym…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.