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Docetl

github.com/ucbepic/docetl official repository

Declarative agentic data processing system that uses LLMs to transform structured and unstructured data through natural language operations. Provides map-reduc…

agent frameworkSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Billing model
Last checked28 Jul 2026pricing & liveness

What it does

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

Docetl

Declarative agentic data processing system that uses LLMs to transform structured and unstructured data through natural language operations. Provides map-reduc…

Agentery has not yet captured structured capability detail for this provider.

Price status · observed daily

Source repository available · no commercial pricing observed.

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

Is Docetl good value?

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

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
NicheAI Data Engineering
Price benchmarknot applicable
What to compare instead

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Comparable AI Data Engineering

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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": "docetl",
  "name": "Docetl",
  "url": "https://github.com/ucbepic/docetl",
  "logo": "https://agentery.com/logos/CP-PCGX8C-256.png",
  "niche": "ai-data-engineering",
  "category": "developer-tools-infra",
  "short_summary": "Declarative agentic data processing system that uses LLMs to transform structured and unstructured data through natural language operations. Provides map-reduc…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": null,
    "summary": null,
    "confidence": "high",
    "source_url": "https://github.com/pricing",
    "checked_at": "2026-07-26T04:31:35.844Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "agent_framework",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/ucbepic/docetl"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/ucbepic/docetl",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 535,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:33:06.991Z",
    "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."
}