Document QA Agent

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    "provider_type_methodology_published_at": "2026-07-31",
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    "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": "2022",
      "name": "2022",
      "url": "https://2022.cat/mcp",
      "short_summary": "provides AI assistants access to Catalunya 2022 strategic action plan document via MCP protocol",
      "price": {
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "The Catalunya 2022 MCP server is publicly available at no cost, with no authentication required."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "deepwiki_for_agent_zero",
      "name": "DeepWiki",
      "url": "https://deepwiki.com/agent0ai/agent-zero",
      "short_summary": "AI-powered conversational documentation/wiki for the agent-zero GitHub repository; the documented Agent Zero itself is an agentic framework that uses a real OS…",
      "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": "high",
      "upvotes": 0
    },
    {
      "agent_id": "document_intelligence",
      "name": "Document Intelligence",
      "url": "https://amalgix.io",
      "short_summary": "extracts evidence-backed facts from financial filings and contracts with two core workflows: analyze_public_filing for SEC documents and review_contract_risks…",
      "price": {
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Paid (price not published)",
        "summary": "Amalgix charges dynamically per document-processing call, starting at $0.03 per call with a stated $79.00 hard safety cap."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "ninjadoc",
      "name": "Ninjadoc",
      "url": "https://ninjadoc.ai",
      "short_summary": "PDF document extraction with visual provenance and citation tracking",
      "price": {
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": 5,
        "monthly_usd": 5,
        "headline": "From $5/mo",
        "summary": "From $5/mo. NinjaDoc offers non-expiring credit packs from $5 to $500 with pay-as-you-go document querying at approximately $0.01 per page and no subscriptions."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "shellayer",
      "name": "ShelLayer",
      "url": "https://shelflayer.com/",
      "short_summary": "provides AI agents access to search and retrieve passages from public-domain books with citations",
      "price": {
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "ShelfLayer is free during its public beta, while Pro pricing is not yet announced and Enterprise plans are scoped individually."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "tripitaka_mcp",
      "name": "Tripitaka MCP",
      "url": "https://tripitaka-mcp.com",
      "short_summary": "provides access to the full Pāli Tipiṭaka Buddhist canon with search, translation comparison, and Pāli word lookup capabilities",
      "price": {
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "Tripitaka MCP exposes a $0 offer, with no additional public plan details or billing period shown."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "byteaskai",
      "name": "Byteaskai",
      "url": "https://docs.byteask.ai/embedded",
      "short_summary": "# ByteAsk Embedded Docs MCP\n\nPage-cited retrieval over embedded systems documentation, datasheets, reference manuals, RTOS documentation, coding standards, and…",
      "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": "corpus",
      "name": "Corpus",
      "url": "https://mcp.listentosadhu.app",
      "short_summary": "Listen to Sadhu exposes a searchable corpus of Vedic scripture and recorded lectures. Look up verses by reference (e.g. \"BG 2.13\", \"SB 5.5.3\", \"CC Madhya 8.128…",
      "price": {
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "Listen to Sadhu MCP is presented as a free, public, read-only service with no subscription price shown."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "foiagras_mcp",
      "name": "Foiagras",
      "url": "https://foiagras.com/mcp/",
      "short_summary": "searches a public records database for documents, meeting minutes, and investigative reporting on behalf of an AI assistant",
      "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": "iching_rocks",
      "name": "Iching Rocks",
      "url": "https://iching.rocks/mcp",
      "short_summary": "Public, read-only MCP over the complete 64-hexagram I Ching corpus — hexagrams, trigrams, changing lines, and reading context from an original English translat…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing for IChing.Rocks was observed on the homepage."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [
    {
      "agent_id": "alpha_sense_developer",
      "name": "Alpha Sense Developer",
      "url": "https://developer.alpha-sense.com/",
      "short_summary": "provides AI agents access to enterprise intelligence for search, research and summarization workflows like meeting prep and idea generation",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing amounts or plan details are shown in the supplied AlphaSense Developer Portal homepage context."
      },
      "home_niche": "developer-portal-api-docs",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "kappa_graph",
      "name": "Kappa Graph",
      "url": "https://aaronsb.github.io/knowledge-graph-system/",
      "short_summary": "Multi-dimensional knowledge extraction system that ingests documents, extracts concepts and relationships via LLM, stores them in a graph database, and exposes…",
      "price": {
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Paid (price not published)",
        "summary": "The tutorial shows an estimated usage cost of $0.003 for an ingestion job, with no subscription plans publicly listed."
      },
      "home_niche": "knowledge-graph-agent",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "plasma_wiki",
      "name": "Plasma Wiki",
      "url": "https://github.com/plasma-ai/wiki",
      "short_summary": "Indexed knowledge bases with command-line tools for agents. Creates structured markdown wikis that agents can query to ground their work in project-specific kn…",
      "price": {
        "observed": false,
        "billing": "unknown",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "home_niche": "enterprise-knowledge-platform",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "veridive",
      "name": "Veridive",
      "url": "https://veridive.com",
      "short_summary": "answers questions by searching and retrieving information from spoken/video content like podcasts and YouTube videos",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 3.9,
        "monthly_usd": 3.9,
        "headline": "Free tier, then from $3.9/mo",
        "summary": "Free tier, then from $3.9/mo. Veridive offers a permanent free plan with 500 monthly credits and a Pro subscription at $3.90/month, plus optional one-time credit top-ups."
      },
      "home_niche": "video-avatar-generation",
      "also_covers": true,
      "upvotes": 0
    }
  ],
  "page_url": "https://agentery.com/market/document-qa-agent",
  "summary": {
    "niche": "document-qa-agent",
    "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 $16/mo (6 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": 6,
          "reliability": "medium",
          "median": 15.5,
          "p25": 13.49,
          "p75": 25.75,
          "status": "ok"
        },
        {
          "provider_type": "agent",
          "provider_type_label": "Agents",
          "buyer_tier": "individual",
          "buyer_tier_label": "Individual",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 4,
          "reliability": "low",
          "median": 16,
          "p25": null,
          "p75": null,
          "status": "median_only"
        },
        {
          "provider_type": "agent",
          "provider_type_label": "Agents",
          "buyer_tier": "team_sme",
          "buyer_tier_label": "Team / SME",
          "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": [
            129,
            200
          ]
        }
      ],
      "warnings": [
        "This niche currently has sufficient agent pricing but insufficient MCP pricing."
      ],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "document-qa-agent"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/document-qa-agent",
    "counts": {
      "listings_with_price_capture": 50,
      "listings_with_observed_public_price": 18,
      "providers_with_numeric_monthly_price_latest_scan": 10,
      "like_for_like_comparable_pairs": 9
    },
    "movement": {
      "d": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "w": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "m": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      }
    },
    "pricing_version": "cohorts-1",
    "pricing_status": "ok",
    "pricing_by_tier": [
      {
        "tier": "individual",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 16,
        "provider_count": 4,
        "plan_observation_count": 5,
        "data_confidence": 0.32,
        "data_confidence_basis": {
          "provider_component": 0.33,
          "observation_component": 0.25,
          "provider_count": 4,
          "plan_observation_count": 5
        },
        "reliability": "low",
        "members": [
          {
            "provider": "ekstrakt",
            "usd": 5.5
          },
          {
            "provider": "skipit",
            "usd": 12.99
          },
          {
            "provider": "boei_pdf_ai",
            "usd": 19
          },
          {
            "provider": "hyperwrite_text_extractor",
            "usd": 29
          }
        ]
      },
      {
        "tier": "pro",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 15.5,
        "provider_count": 6,
        "plan_observation_count": 6,
        "data_confidence": 0.46,
        "data_confidence_basis": {
          "provider_component": 0.5,
          "observation_component": 0.3,
          "provider_count": 6,
          "plan_observation_count": 6
        },
        "reliability": "medium",
        "members": [
          {
            "provider": "smry",
            "usd": 6
          },
          {
            "provider": "aiagentdocs",
            "usd": 12.99
          },
          {
            "provider": "pdfpeer",
            "usd": 14.99
          },
          {
            "provider": "hyperwrite_text_extractor",
            "usd": 16
          },
          {
            "provider": "google_drive_rag_agent",
            "usd": 29
          },
          {
            "provider": "ai_drive",
            "usd": 39
          }
        ],
        "p25": 13.49,
        "p75": 25.75
      },
      {
        "tier": "team_sme",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 164.5,
        "provider_count": 2,
        "plan_observation_count": 4,
        "data_confidence": 0.17,
        "data_confidence_basis": {
          "provider_component": 0.17,
          "observation_component": 0.2,
          "provider_count": 2,
          "plan_observation_count": 4
        },
        "reliability": "low",
        "members": [
          {
            "provider": "boei_pdf_ai",
            "usd": 129
          },
          {
            "provider": "ai_drive",
            "usd": 200
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 50,
      "listings_with_observed_public_price": 18,
      "normalized_observations": 15,
      "comparable_providers": 9,
      "strict_cohorts": 3,
      "exclusion_reasons": {
        "promo": 1,
        "ambiguous_cadence": 5,
        "usage_not_monthly": 2,
        "one_time": 4
      }
    },
    "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": {
      "promo": 1,
      "ambiguous_cadence": 5,
      "usage_not_monthly": 2,
      "one_time": 4
    },
    "billing_mix": {
      "freemium": 5,
      "free": 7,
      "subscription": 4,
      "usage": 2
    },
    "free_tier_share": 0.67,
    "top_providers": [
      {
        "agent_id": "2022",
        "name": "2022",
        "price": {
          "observed": true,
          "billing": "free",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Free",
          "summary": "The Catalunya 2022 MCP server is publicly available at no cost, with no authentication required."
        },
        "observed": true
      },
      {
        "agent_id": "deepwiki_for_agent_zero",
        "name": "DeepWiki",
        "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": "document_intelligence",
        "name": "Document Intelligence",
        "price": {
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Paid (price not published)",
          "summary": "Amalgix charges dynamically per document-processing call, starting at $0.03 per call with a stated $79.00 hard safety cap."
        },
        "observed": true
      },
      {
        "agent_id": "ninjadoc",
        "name": "Ninjadoc",
        "price": {
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": 5,
          "monthly_usd": 5,
          "headline": "From $5/mo",
          "summary": "From $5/mo. NinjaDoc offers non-expiring credit packs from $5 to $500 with pay-as-you-go document querying at approximately $0.01 per page and no subscriptions."
        },
        "observed": true
      },
      {
        "agent_id": "shellayer",
        "name": "ShelLayer",
        "price": {
          "observed": true,
          "billing": "free",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Free",
          "summary": "ShelfLayer is free during its public beta, while Pro pricing is not yet announced and Enterprise plans are scoped individually."
        },
        "observed": true
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "document-qa-agent"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "document-qa-agent",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "2022"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "2022"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}