DataForge
Open-source DataOps incident-response agent that detects, investigates, diagnoses, and remediates data pipeline and quality incidents using LangGraph, MCP tool…
What it does
The specific capability behind this listing, and where to get it.
DataForge
Open-source DataOps incident-response agent that detects, investigates, diagnoses, and remediates data pipeline and quality incidents using LangGraph, MCP tool…
Agentery has not yet captured structured capability detail for this provider.
Official DataForge links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is DataForge good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
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.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
DataForge's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "dataforge",
"name": "DataForge",
"url": "https://github.com/mohith1306/DataForge",
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"niche": null,
"category": null,
"short_summary": "Open-source DataOps incident-response agent that detects, investigates, diagnoses, and remediates data pipeline and quality incidents using LangGraph, MCP tool…",
"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": null,
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/mohith1306/DataForge"
],
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"how_to_connect": {
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"docs": null,
"mcp": null,
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"api": null,
"protocols": []
},
"liveness": {
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},
"price_extras": {
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},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}