~ · home · research-knowledge-work literature-review · 14

Literature Review

Query this niche via MCPniche_report({ niche: "literature-review" })
active marketmarket pulse 47/100commercial money present0 new builders in 30d14 listings
basis: all observed monthly plans · commercial-form-v2
Agents · median
None priced — too few for a Agents median.
MCP servers · median
$33/mo
2 providers

All plansAgents vs MCPs

each dot = one provider · log scale
MCP servers $33
Scholar Feed · $18
Exatoshi Autosearch · $33
$25
AgentsMCP serversshaded = middle half · line = median

All plans

2 priced
Providervs its cohort medianMonthly
Scholar Feedmcp
$18 below
Exatoshi Autosearchmcp
$33 ~median
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": "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": 18,
      "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": "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"
    ],
    "price_move_30d_pct": -0.2,
    "money_share": 0.75,
    "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
      ],
      "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": 0,
      "pro": 3,
      "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": 14,
    "observed": 4,
    "byPersona": {
      "free": {
        "n": 3,
        "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": 4,
        "nPriced": 4,
        "reliability": "low",
        "median": 23.5,
        "p25": 15.75,
        "p75": 31.75,
        "min": 9,
        "max": 39.99,
        "mean": 24,
        "stdev": 13.44,
        "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": 4,
        "p25": 15.75,
        "median": 23.5,
        "p75": 31.75,
        "confidence": "low",
        "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": 24.5,
          "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": "scholar_feed",
              "usd": 18
            },
            {
              "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": 6,
            "offers": [
              {
                "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": 4,
          "normalized_observations": 6,
          "comparable_providers": 3,
          "strict_cohorts": 1,
          "exclusion_reasons": {
            "ambiguous_cadence": 2,
            "one_time": 1,
            "unrankable_or_unparseable": 1
          }
        }
      }
    },
    "billingMix": {
      "freemium": 3,
      "subscription": 1
    },
    "freeTierShare": 0.75,
    "medianLowestUsd": 18
  },
  "movement": {
    "niche": "literature-review",
    "sector": "research-knowledge-work",
    "pricedNow": 3,
    "pairs": 3,
    "repriced": [
      {
        "handle": "exatoshi_autosearch",
        "from": 35.87,
        "to": 35.68,
        "pct": -0.5
      }
    ],
    "newlyPriced": [],
    "droppedFromPriced": [],
    "likeForLikePct": -0.2,
    "kind": "repricing",
    "narrative": "Genuine repricing: 1 agent repriced — all down (avg -0.2%)."
  },
  "index_series": {
    "series": [
      {
        "day": "2026-07-19",
        "index": 100,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-20",
        "index": 100,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-21",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-22",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-23",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-24",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-25",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-26",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-27",
        "index": 100,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-28",
        "index": 100,
        "pairs": 4,
        "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": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-03",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-04",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-05",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-06",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-07",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-08",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-09",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-10",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-11",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-12",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-13",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-14",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-15",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-16",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-17",
        "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": "exatoshi_autosearch",
      "name": "autosearch",
      "url": "https://exatoshi.uk/",
      "short_summary": "automates scientific literature reviews and generates IMRAD-structured papers with verified citations",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 35.68,
        "monthly_usd": 43.9,
        "headline": "Free tier, then from $35.68/mo",
        "summary": "Free tier, then from $35.68/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": "feynman_agent",
      "name": "Feynman Agent",
      "url": "https://www.feynman.is/",
      "short_summary": "discovers, analyzes, and synthesizes scientific literature; reads papers, searches the web, writes drafts, runs experiments, and cites every claim",
      "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 amounts were observed on the homepage."
      },
      "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": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 18,
        "monthly_usd": 18,
        "headline": "Free tier, then from $18/mo",
        "summary": "Free tier, then from $18/mo. 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 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": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 250,
        "monthly_usd": 250,
        "headline": "From $250/mo",
        "summary": "From $250/mo. 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": "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
    },
    {
      "agent_id": "literature_review_skill",
      "name": "Literature Review Skill",
      "url": "https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills",
      "short_summary": "An 8-phase agent swarm system for systematic academic literature surveys. Automates search across CNKI, Web of Science, ScienceDirect, and PubMed with deduplic…",
      "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 the AI-Powered-Literature-Review-Skills repository."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "lumen",
      "name": "Lumen",
      "url": "https://github.com/luoziyan100/lumen",
      "short_summary": "A local-first AI research workbench for independent researchers. It reads PDF papers, discusses findings, and writes structured reports into a workspace using…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is stated for Lumen in the repository homepage materials."
      },
      "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://github.com/ai4s-research/open-science",
      "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 for Open Science was observed; the available pricing page describes GitHub plans rather than this project."
      },
      "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": "No published benchmark for literature-review yet — too few comparable priced providers. Observed offers are listed.",
      "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": 2,
          "reliability": "low",
          "median": null,
          "p25": null,
          "p75": null,
          "status": "observed_offers_only",
          "observed_offers": [
            18,
            32.77
          ]
        }
      ],
      "warnings": [],
      "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": 14,
      "listings_with_observed_public_price": 4,
      "providers_with_numeric_monthly_price_latest_scan": 3,
      "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": 24.5,
        "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": "scholar_feed",
            "usd": 18
          },
          {
            "provider": "researchpal",
            "usd": 24.5
          },
          {
            "provider": "exatoshi_autosearch",
            "usd": 32.77
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 14,
      "listings_with_observed_public_price": 4,
      "normalized_observations": 6,
      "comparable_providers": 3,
      "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": 3,
      "subscription": 1
    },
    "free_tier_share": 0.75,
    "top_providers": [
      {
        "agent_id": "exatoshi_autosearch",
        "name": "autosearch",
        "price": {
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 35.68,
          "monthly_usd": 43.9,
          "headline": "Free tier, then from $35.68/mo",
          "summary": "Free tier, then from $35.68/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": "feynman_agent",
        "name": "Feynman Agent",
        "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 amounts were observed on the homepage."
        },
        "observed": false
      },
      {
        "agent_id": "scholar_feed",
        "name": "Scholar Feed",
        "price": {
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 18,
          "monthly_usd": 18,
          "headline": "Free tier, then from $18/mo",
          "summary": "Free tier, then from $18/mo. 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 price found on the vendor site."
        },
        "observed": false
      },
      {
        "agent_id": "laser_ai",
        "name": "Laser AI",
        "price": {
          "observed": true,
          "billing": "subscription",
          "lowest_monthly_usd": 250,
          "monthly_usd": 250,
          "headline": "From $250/mo",
          "summary": "From $250/mo. LASER AI lists a $3,000 per-project option, a $3,000-per-user annual option equivalent to $250 monthly, and custom Enterprise pricing."
        },
        "observed": true
      }
    ],
    "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

5 providers, one sortable view

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

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.