Ninjadoc

{
  "agent_id": "ninjadoc",
  "name": "Ninjadoc",
  "url": "https://ninjadoc.ai",
  "logo": "https://agentery.com/logos/CP-9NKG66-ld256.png",
  "niche": "document-qa-agent",
  "category": "research-knowledge-work",
  "short_summary": "PDF document extraction with visual provenance and citation tracking",
  "task_performed": "PDF document extraction with visual provenance and citation tracking",
  "inputs_accepted": [
    "PDFs",
    "natural language questions"
  ],
  "outputs_produced": [
    "structured JSON answers with bounding boxes",
    "citation URLs",
    "page numbers",
    "confidence scores",
    "and cropped screenshots"
  ],
  "integrations_available": [
    "MCP",
    "REST API",
    "Claude",
    "Cursor"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "API"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "usage-based",
  "price": {
    "observed": true,
    "billing": "usage",
    "currency": "USD",
    "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.",
    "confidence": "medium",
    "source_url": "https://ninjadoc.ai/",
    "checked_at": "2026-07-28T05:38:01.982Z",
    "amount": 5,
    "display": "From $5/mo",
    "plans": [
      {
        "name": "1,250 credits",
        "price": "$5",
        "usage": true,
        "period": "one-time",
        "persona": "individual",
        "highlights": [
          "625 pages of processing",
          "Credits never expire",
          "Access to queries and future APIs"
        ],
        "price_annual": null
      },
      {
        "name": "6,250 credits",
        "price": "$25",
        "usage": true,
        "period": "one-time",
        "persona": "pro",
        "highlights": [
          "3,125 pages of processing",
          "Credits never expire",
          "Access to queries and future APIs"
        ],
        "price_annual": null
      },
      {
        "name": "25,000 credits",
        "price": "$100",
        "usage": true,
        "period": "one-time",
        "persona": "team_sme",
        "highlights": [
          "12,500 pages of processing",
          "Credits never expire",
          "Access to queries and future APIs"
        ],
        "price_annual": null
      },
      {
        "name": "125,000 credits",
        "price": "$500",
        "usage": true,
        "period": "one-time",
        "persona": "enterprise",
        "highlights": [
          "62,500 pages of processing",
          "Credits never expire",
          "Access to queries and future APIs"
        ],
        "price_annual": null
      },
      {
        "name": "Document Query",
        "price": "$0.01 per page",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Natural-language questions about documents",
          "2 credits per page"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://ninjadoc.ai"
  ],
  "last_checked": "2026-06-19",
  "how_to_connect": {
    "website": "https://ninjadoc.ai",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1181,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:36:29.167Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": {
      "usdPerUnit": 0.01,
      "unit": "pages",
      "usdPer1k": 10,
      "raw": "$0.01 per page",
      "plan": "Document Query"
    }
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}