Literature Review
Query this niche via MCP
market_report({ query: "Literature Review", response_mode: "summary" })Agents · median
MCP servers · median
$20/mo
All plans — Agents vs MCPs
each dot = one provider · log scaleMCP servers $20
Scholar Feed · $18
cerebrum · $20
Exatoshi Autosearch · $33
$25
AgentsMCP serversshaded = middle half · line = median
All plans
3 pricedProvidervs its cohort medianMonthly
Scholar Feedmcp
$18 ~median
cerebrummcp
$20 ~median
Exatoshi Autosearchmcp
$33 above
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 Literature Review (latest observation 2026-10-18T03:50:06.504Z). 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": "literature-review",
"parent_sector": "research-knowledge-work",
"provider_type_pricing": {
"slug": "literature-review",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 13.5,
"p25": null,
"p75": null,
"providers": 4
},
"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": 18,
"p25": null,
"p75": null,
"providers": 3,
"publishable": true,
"confidence": "provisional"
}
},
"recommended_cohort": null,
"recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
"fallback_context": null,
"context_note": null
},
"crowding_level": "sparse",
"observed_node_count": 1,
"adjacent_niches": [
"expert-call-summarisation",
"business-research-enrichment",
"news-monitoring-agent",
"company-intelligence-agent",
"document-qa-agent",
"market-intelligence-research"
],
"market_pulse": {
"pulse": 47,
"drivers": [
"enterprise money present",
"1 new builder in 30d"
],
"price_move_30d_pct": 0,
"money_share": 0.6,
"entry_rate": 0.047619047619047616,
"alive_share": 1
},
"price_move": {
"d_pct": 0,
"w_pct": 0,
"m_pct": 0,
"comparable_agents": 4,
"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,
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,
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,
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,
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": 0,
"pro": 4,
"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": 16,
"observed": 5,
"byPersona": {
"free": {
"n": 4,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"individual": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"pro": {
"n": 7,
"nPriced": 7,
"reliability": "medium",
"median": 20,
"p25": 13.5,
"p75": 24.5,
"min": 3.99,
"max": 39.99,
"mean": 20,
"stdev": 11.99,
"usageShare": 0
},
"team_sme": {
"n": 2,
"nPriced": 2,
"reliability": "low",
"median": 270,
"p25": 260,
"p75": 280,
"min": 250,
"max": 290,
"mean": 270,
"stdev": 28.28,
"usageShare": 0
},
"enterprise": {
"n": 4,
"nPriced": 1,
"reliability": "none",
"median": 2500,
"p25": 2500,
"p75": 2500,
"min": 2500,
"max": 2500,
"mean": 2500,
"stdev": 0,
"usageShare": 0
}
},
"byPersonaMonthly": {
"free": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"individual": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"pro": {
"nMonthly": 7,
"p25": 13.5,
"median": 20,
"p75": 24.5,
"confidence": "medium",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": true
},
"team_sme": {
"nMonthly": 2,
"p25": 260,
"median": 270,
"p75": 280,
"confidence": "low",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": true
},
"enterprise": {
"nMonthly": 1,
"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": 22.25,
"provider_count": 4,
"plan_observation_count": 7,
"data_confidence": 0.34,
"data_confidence_basis": {
"provider_component": 0.33,
"observation_component": 0.35,
"provider_count": 4,
"plan_observation_count": 7
},
"reliability": "low",
"members": [
{
"provider": "scholar_feed",
"usd": 18
},
{
"provider": "cerebrum",
"usd": 20
},
{
"provider": "researchpal",
"usd": 24.5
},
{
"provider": "exatoshi_autosearch",
"usd": 32.77
}
]
}
],
"rejected": {
"ambiguous_cadence": 2,
"one_time": 1,
"unrankable_or_unparseable": 1
},
"evidence": {
"status": "ok",
"single_observations": [],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 9,
"offers": [
{
"provider": "cerebrum",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$3.99/month",
"monthly_usd": 3.99
},
{
"provider": "cerebrum",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$20/month",
"monthly_usd": 20
},
{
"provider": "cerebrum",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$20/month",
"monthly_usd": 20
},
{
"provider": "exatoshi_autosearch",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "29 CHF/month",
"monthly_usd": 32.77
},
{
"provider": "exatoshi_autosearch",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "290 CHF/month",
"monthly_usd": 327.7
},
{
"provider": "exatoshi_autosearch",
"tier": "enterprise",
"billing": "monthly",
"unit": "flat",
"price": "2,500 CHF/month",
"monthly_usd": 2825
},
{
"provider": "researchpal",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$9.00",
"monthly_usd": 9
},
{
"provider": "researchpal",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$39.99",
"monthly_usd": 39.99
},
{
"provider": "scholar_feed",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$18/mo",
"monthly_usd": 18
}
]
},
{
"billing": "one_time",
"unit": "flat",
"count": 1,
"offers": [
{
"provider": "laser_ai",
"tier": "enterprise",
"billing": "one_time",
"unit": "flat",
"price": "$3000 /per project*",
"monthly_usd": null
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "laser_ai",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
},
{
"provider": "researchpal",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Based on requirements",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 5,
"normalized_observations": 9,
"comparable_providers": 4,
"strict_cohorts": 1,
"exclusion_reasons": {
"ambiguous_cadence": 2,
"one_time": 1,
"unrankable_or_unparseable": 1
}
}
}
},
"quoteOnlyProvidersByTier": {
"pro": 0,
"team_sme": 0,
"enterprise": 1
},
"billingMix": {
"freemium": 4,
"subscription": 1
},
"freeTierShare": 0.8,
"medianLowestUsd": 13.5
},
"movement": {
"niche": "literature-review",
"sector": "research-knowledge-work",
"pricedNow": 4,
"pairs": 3,
"repriced": [
{
"handle": "exatoshi_autosearch",
"from": 34.9,
"to": 35.17,
"pct": 0.8
}
],
"newlyPriced": [
"cerebrum"
],
"droppedFromPriced": [],
"likeForLikePct": 0.3,
"kind": "mixed",
"narrative": "Repricing + composition: 1 agent repriced — all up (avg +0.3%); 1 newly published pricing."
},
"index_series": {
"series": [
{
"day": "2026-09-19",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-20",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-21",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-22",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-23",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-24",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-09-25",
"index": 100,
"pairs": 5,
"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": 4,
"dayChangePct": 0
},
{
"day": "2026-10-05",
"index": 100,
"pairs": 4,
"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
},
{
"day": "2026-10-16",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-17",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-10-18",
"index": 100,
"pairs": 6,
"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": "exatoshi_autosearch",
"name": "autosearch",
"url": "https://exatoshi.uk/",
"short_summary": "automates scientific literature reviews and generates IMRAD-structured papers with verified citations",
"price": {
"commercial": {
"entry_offer": {
"line": "Researcher",
"monthly_native": 29,
"monthly_usd": 35.17,
"commitment": "monthly",
"basis": "CHF 29/month",
"billing_verified": true
},
"currency": "CHF",
"notes": [
"prices in CHF as published; USD figures are conversions at 2026-10-18"
],
"lines": [
{
"name": "Free triage",
"price": "0 CHF",
"kind": "free",
"billed": "monthly"
},
{
"name": "Researcher",
"price": "29 CHF/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Lab",
"price": "290 CHF/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Enterprise",
"price": "2,500 CHF/month",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 35.17,
"monthly_usd": 35.17,
"headline": "Free plan; paid from CHF 29/mo",
"summary": "Free plan; paid from CHF 29/mo. AutoSearch offers a freemium model with a free tier (3 queries/month) and three paid subscription tiers starting at 29 CHF/month, billed monthly with credit-based per-research pricing."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "scholar_feed",
"name": "Scholar Feed",
"url": "https://www.scholarfeed.org/developers",
"short_summary": "searches and analyzes CS/AI/ML research papers with LLM-generated novelty analysis",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 18,
"monthly_usd": 18,
"commitment": "monthly",
"basis": "$18/month",
"billing_verified": false,
"billing_note": "the pricing page has a \"Monthly Yearly Save 17%\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
},
"currency": "USD",
"notes": [
"billing period unverified: the pricing page has a \"Monthly Yearly Save 17%\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
],
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$18/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 18,
"monthly_usd": 18,
"headline": "Free plan; paid from $18/mo (billing period unverified: page has a Monthly/Annual toggle)",
"summary": "Free plan; paid from $18/mo (billing period unverified: page has a Monthly/Annual toggle). Scholar Feed offers a free tier and a Pro subscription at $18/month, with a $9/month verified-academic rate."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "answerthis_ai",
"name": "AnswerThis",
"url": "https://www.ycombinator.com/launches/Oje-answerthis-the-ai-research-assistant",
"short_summary": "Analyzes relevant research to answer scientific questions with line-by-line citations and generates literature reviews",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing for AnswerThis is shown in the supplied homepage content."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "cerebrum",
"name": "Cerebrum",
"url": "https://askcerebrum.org",
"short_summary": "Search the scientific literature and get a cited answer, plus the Trending in Science edition.",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro Lite",
"monthly_native": 3.99,
"monthly_usd": 3.99,
"commitment": "monthly",
"basis": "$3.99/month",
"billing_verified": true
},
"annual_option": {
"line": "Pro Lite (annual billing)",
"monthly_equivalent_native": 3.25,
"total_native": 39
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro Lite",
"price": "$3.99/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro Lite (annual billing)",
"price": "$39/year billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Cerebrum Pro",
"price": "$20/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Cerebrum Pro (annual billing)",
"price": "$144/year billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Pro Student",
"price": "$20/month",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 3.99,
"monthly_usd": 3.99,
"headline": "Free plan; paid from $3.99/mo; $3.25/mo equivalent billed annually",
"summary": "Free plan; paid from $3.99/mo; $3.25/mo equivalent billed annually. Cerebrum offers a free tier, Pro Lite at $3.99/month, Cerebrum Pro at $20/month, and a student introductory price of $7.99/month for 12 months before renewing at $20/month."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "gutenberg_mcp_server",
"name": "Gutenberg",
"url": "https://gutenberg.caseyjhand.com/mcp",
"short_summary": "MCP server for Project Gutenberg — 75,000+ public-domain ebooks with full plain-text retrieval.",
"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": "laser_ai",
"name": "Laser AI",
"url": "https://www.laser.ai/",
"short_summary": "accelerates evidence synthesis by streamlining screening and data extraction for systematic reviews",
"price": {
"commercial": {
"entry_offer": {
"line": "Per user",
"monthly_native": 250,
"monthly_usd": 250,
"commitment": "annual",
"basis": "$250 per per/month × 1"
},
"rates": [
{
"line": "Per project",
"per": "per per",
"text": "$3,000 per per"
}
],
"currency": "USD",
"lines": [
{
"name": "Per project",
"price": "$3000 /per project*",
"kind": "usage_rate",
"unit": "per",
"billed": "usage"
},
{
"name": "Per user",
"price": "$3000 /per year*",
"kind": "base_subscription",
"unit": "per",
"billed": "annually"
},
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 250,
"monthly_usd": 250,
"headline": "From $250/mo ($250 per per/month × 1)",
"summary": "From $250/mo ($250 per per/month × 1). LASER AI lists a $3,000 per-project option, a $3,000-per-user annual option equivalent to $250 monthly, and custom Enterprise pricing."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "polish_catholic_sermons",
"name": "Polish Catholic Sermons",
"url": "https://msza.ai",
"short_summary": "Search public Polish Catholic sermons, transcripts, and daily homily syntheses from msza.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."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "wolters_kluwer",
"name": "Ovid Guidelines AI",
"url": "https://www.wolterskluwer.com/en/news/wolters-kluwer-introduces-ovid-guidelines-ai-transforming-clinical-guideline-development-agentic-ai",
"short_summary": "accelerates development and lifecycle management of clinical practice guidelines through agentic GenAI evidence synthesis",
"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": "corvus_agent",
"name": "Corvus Agent",
"url": "https://corvus-agent.vercel.app",
"short_summary": "AI research assistant that helps with literature review, data analysis, and academic research workflows.",
"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
},
{
"agent_id": "enago_read",
"name": "Enago Read",
"url": "https://read.enago.com/",
"short_summary": "AI-powered research assistant that helps academics and researchers conduct literature reviews by providing intelligent summaries, key insights, paper discovery…",
"price": {
"observed": false,
"billing": "freemium",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "Enago Read offers a free tier with limited features, plus two paid subscription tiers starting at $3/month (annual billing with 50% introductory discount)."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [
{
"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."
},
"home_niche": "autonomous-ai-research-lab",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "open_science",
"name": "Open Science",
"url": "https://openedscience.com",
"short_summary": "Open-source AI workbench for scientists providing local-first, model-agnostic, reproducible research workflows. Alternative to Claude Science with traceable ar…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown; the site presents Open Science Desktop as a downloadable local-first research workbench."
},
"home_niche": "autonomous-ai-research-lab",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "pubmed_ai",
"name": "PubMed.ai",
"url": "https://www.pubmed.ai/",
"short_summary": "searches, analyzes, and summarizes open-access biomedical literature from PubMed, generating structured research reports",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "PubMed.ai describes AI-assisted biomedical literature search, chat, and report generation but shows no public pricing."
},
"home_niche": "medical-literature-search",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "scienceclaw",
"name": "Scienceclaw",
"url": "http://scienceclaw.science",
"short_summary": "Self-evolving AI research agent with 285+ skills, persistent memory, and zero hallucination. Searches literature, queries 25+ academic databases, and runs anal…",
"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."
},
"home_niche": "autonomous-ai-research-lab",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "semantic_scholar",
"name": "Semantic Scholar",
"url": "https://www.semanticscholar.org/",
"short_summary": "searches and analyzes scientific literature to help researchers discover and read academic papers",
"price": {
"observed": false,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "Semantic Scholar is presented as a free, AI-powered research tool, with no public subscription pricing shown."
},
"home_niche": "academic-research-agent",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/literature-review",
"summary": {
"niche": "literature-review",
"sector": "research-knowledge-work",
"pricing_by_provider_type": {
"headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: MCP servers · Pro median $20/mo (3 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
"benchmarks": [
{
"provider_type": "mcp",
"provider_type_label": "MCP servers",
"buyer_tier": "pro",
"buyer_tier_label": "Pro",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 3,
"reliability": "low",
"median": 20,
"p25": null,
"p75": null,
"status": "median_only"
}
],
"warnings": [
"This niche currently has sufficient MCP pricing but insufficient agent pricing."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "literature-review"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/literature-review",
"counts": {
"listings_with_price_capture": 16,
"listings_with_observed_public_price": 5,
"providers_with_numeric_monthly_price_latest_scan": 4,
"like_for_like_comparable_pairs": 3
},
"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": 22.25,
"provider_count": 4,
"plan_observation_count": 7,
"data_confidence": 0.34,
"data_confidence_basis": {
"provider_component": 0.33,
"observation_component": 0.35,
"provider_count": 4,
"plan_observation_count": 7
},
"reliability": "low",
"members": [
{
"provider": "scholar_feed",
"usd": 18
},
{
"provider": "cerebrum",
"usd": 20
},
{
"provider": "researchpal",
"usd": 24.5
},
{
"provider": "exatoshi_autosearch",
"usd": 32.77
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 16,
"listings_with_observed_public_price": 5,
"normalized_observations": 9,
"comparable_providers": 4,
"strict_cohorts": 1,
"exclusion_reasons": {
"ambiguous_cadence": 2,
"one_time": 1,
"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,
"one_time": 1,
"unrankable_or_unparseable": 1
},
"billing_mix": {
"freemium": 4,
"subscription": 1
},
"free_tier_share": 0.8,
"top_providers": [
{
"agent_id": "exatoshi_autosearch",
"name": "autosearch",
"price": {
"commercial": {
"entry_offer": {
"line": "Researcher",
"monthly_native": 29,
"monthly_usd": 35.17,
"commitment": "monthly",
"basis": "CHF 29/month",
"billing_verified": true
},
"currency": "CHF",
"notes": [
"prices in CHF as published; USD figures are conversions at 2026-10-18"
],
"lines": [
{
"name": "Free triage",
"price": "0 CHF",
"kind": "free",
"billed": "monthly"
},
{
"name": "Researcher",
"price": "29 CHF/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Lab",
"price": "290 CHF/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Enterprise",
"price": "2,500 CHF/month",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 35.17,
"monthly_usd": 35.17,
"headline": "Free plan; paid from CHF 29/mo",
"summary": "Free plan; paid from CHF 29/mo. AutoSearch offers a freemium model with a free tier (3 queries/month) and three paid subscription tiers starting at 29 CHF/month, billed monthly with credit-based per-research pricing."
},
"observed": true
},
{
"agent_id": "scholar_feed",
"name": "Scholar Feed",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 18,
"monthly_usd": 18,
"commitment": "monthly",
"basis": "$18/month",
"billing_verified": false,
"billing_note": "the pricing page has a \"Monthly Yearly Save 17%\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
},
"currency": "USD",
"notes": [
"billing period unverified: the pricing page has a \"Monthly Yearly Save 17%\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
],
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$18/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 18,
"monthly_usd": 18,
"headline": "Free plan; paid from $18/mo (billing period unverified: page has a Monthly/Annual toggle)",
"summary": "Free plan; paid from $18/mo (billing period unverified: page has a Monthly/Annual toggle). Scholar Feed offers a free tier and a Pro subscription at $18/month, with a $9/month verified-academic rate."
},
"observed": true
},
{
"agent_id": "answerthis_ai",
"name": "AnswerThis",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing for AnswerThis is shown in the supplied homepage content."
},
"observed": false
},
{
"agent_id": "cerebrum",
"name": "Cerebrum",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro Lite",
"monthly_native": 3.99,
"monthly_usd": 3.99,
"commitment": "monthly",
"basis": "$3.99/month",
"billing_verified": true
},
"annual_option": {
"line": "Pro Lite (annual billing)",
"monthly_equivalent_native": 3.25,
"total_native": 39
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro Lite",
"price": "$3.99/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro Lite (annual billing)",
"price": "$39/year billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Cerebrum Pro",
"price": "$20/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Cerebrum Pro (annual billing)",
"price": "$144/year billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Pro Student",
"price": "$20/month",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 3.99,
"monthly_usd": 3.99,
"headline": "Free plan; paid from $3.99/mo; $3.25/mo equivalent billed annually",
"summary": "Free plan; paid from $3.99/mo; $3.25/mo equivalent billed annually. Cerebrum offers a free tier, Pro Lite at $3.99/month, Cerebrum Pro at $20/month, and a student introductory price of $7.99/month for 12 months before renewing at $20/month."
},
"observed": true
},
{
"agent_id": "gutenberg_mcp_server",
"name": "Gutenberg",
"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": "literature-review"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "literature-review",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "exatoshi_autosearch"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "exatoshi_autosearch"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
6 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
autosearchautomates scientific literature reviews and generates IMRAD-structured papers with verified citations
Scholar Feedsearches and analyzes CS/AI/ML research papers with LLM-generated novelty analysis
CerebrumSearch the scientific literature and get a cited answer, plus the Trending in Science edition.
Laser AIaccelerates evidence synthesis by streamlining screening and data extraction for systematic reviews
Enago ReadAI-powered research assistant that helps academics and researchers conduct literature reviews by providing intelligent summaries, key insights, paper discovery…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.