Agentery pricing intelligence · Provider profile · Google Notebooklm
Provider profile · independently tracked by Agentery
Google Notebooklm logo

Google Notebooklm

notebooklm.google official website

helps users understand, explore, summarize, and ask questions about their documents/notes; generates mind maps and audio overviews

tool
Agentery price verdictNo pricing observed
Billing model
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Google Notebooklm

helps users understand, explore, summarize, and ask questions about their documents/notes; generates mind maps and audio overviews

user-provided sources/documents and notes → summaries, answers to questions, mind maps, interactive audio overviews
Gemini AIUCPautonomy: assistant
Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Google Notebooklm good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
NicheDocument QA Agent
Price benchmarknot applicable
What to compare instead

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Comparable Document QA Agent

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "google_notebooklm",
  "name": "Google Notebooklm",
  "url": "https://notebooklm.google/",
  "logo": "https://agentery.com/logos/CP-RYJBRR.svg",
  "niche": "document-qa-agent",
  "category": "research-knowledge-work",
  "short_summary": "helps users understand, explore, summarize, and ask questions about their documents/notes; generates mind maps and audio overviews",
  "task_performed": "helps users understand, explore, summarize, and ask questions about their documents/notes; generates mind maps and audio overviews",
  "inputs_accepted": [
    "user-provided sources/documents and notes"
  ],
  "outputs_produced": [
    "summaries",
    "answers to questions",
    "mind maps",
    "interactive audio overviews"
  ],
  "integrations_available": [
    "Gemini AI"
  ],
  "protocols_or_interfaces": [
    "UCP"
  ],
  "industry_fit": [
    "general business"
  ],
  "autonomy_level": "assistant",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://notebooklm.google/",
    "checked_at": "2026-07-26T08:17:21.005Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "HardFork quote",
    "WSJ quote",
    "The Verge quote",
    "Barron's quote",
    "data privacy commitment (data not used for training)"
  ],
  "evidence_quality": "medium",
  "entity_type": "tool",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://notebooklm.google/"
  ],
  "last_checked": "2026-06-17",
  "how_to_connect": {
    "website": "https://notebooklm.google/",
    "docs": "https://notebooklm.google/documentation",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://notebooklm.google/developer",
      "endpoint": null
    },
    "protocols": [
      "UCP"
    ],
    "note": "Speaks UCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 168,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:34:11.896Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}