Agentery pricing intelligence · Provider profile · PrivateGPT
Provider profile · independently tracked by Agentery
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PrivateGPT

privategpt.io official website

answers natural language questions using a company's internal knowledge from connected data sources

tool
Agentery price verdictNo pricing observed
Billing model
Last checked2 Sept 2026pricing & liveness

What it does

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

PrivateGPT

answers natural language questions using a company's internal knowledge from connected data sources

natural language queries and connected data sources (Notion, JIRA, Slack, Github, documentation) → answers to questions based on company knowledge
NotionJIRASlackGithubautonomy: 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 PrivateGPT 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
NicheKnowledge Base Search
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

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PrivateGPT's local market

Nearest products by what they do.

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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": "privategpt",
  "name": "PrivateGPT",
  "url": "https://privategpt.io/",
  "logo": "https://agentery.com/logos/CP-WA42DK-256.png",
  "niche": "knowledge-base-search",
  "category": "customer-success-support",
  "short_summary": "answers natural language questions using a company's internal knowledge from connected data sources",
  "task_performed": "answers natural language questions using a company's internal knowledge from connected data sources",
  "inputs_accepted": [
    "natural language queries and connected data sources (Notion",
    "JIRA",
    "Slack",
    "Github",
    "documentation)"
  ],
  "outputs_produced": [
    "answers to questions based on company knowledge"
  ],
  "integrations_available": [
    "Notion",
    "JIRA",
    "Slack",
    "Github"
  ],
  "protocols_or_interfaces": [],
  "industry_fit": [
    "general business"
  ],
  "autonomy_level": "assistant",
  "human_approval_needed": "unclear",
  "pricing_model": "enterprise/contact sales",
  "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://privategpt.io/",
    "checked_at": "2026-08-30T06:20:19.902Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "Booster Framework featured project/case study",
    "data not used to train AI claim",
    "access-control/permissions security claim"
  ],
  "evidence_quality": "low",
  "entity_type": "tool",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://privategpt.io/",
    "https://github.com/imartinez/privateGPT"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://privategpt.io/",
    "docs": "https://github.com/documentation",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://github.com/developer",
      "endpoint": null
    },
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 485,
    "uptime_7d": 1,
    "checked_at": "2026-09-02T02:40:27.359Z",
    "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."
}