Feynman
discovers, analyzes, and synthesizes scientific literature; reads papers, searches the web, writes drafts, runs experiments, and cites every claim
What it does
The specific capability behind this listing, and where to get it.
Feynman
discovers, analyzes, and synthesizes scientific literature; reads papers, searches the web, writes drafts, runs experiments, and cites every claim
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Feynman good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Academic Research Agent
Alternatives in the same niche, with observed price and liveness where available.




See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "feynman",
"name": "Feynman",
"url": "https://www.feynman.is/",
"logo": "https://agentery.com/logos/CP-DEKBGF.svg",
"niche": "academic-research-agent",
"category": "research-knowledge-work",
"short_summary": "discovers, analyzes, and synthesizes scientific literature; reads papers, searches the web, writes drafts, runs experiments, and cites every claim",
"task_performed": "discovers, analyzes, and synthesizes scientific literature; reads papers, searches the web, writes drafts, runs experiments, and cites every claim",
"inputs_accepted": [
"natural language questions",
"slash commands",
"paper IDs (e.g. arXiv numbers)",
"research prompts"
],
"outputs_produced": [
"cited research briefs",
"literature reviews",
"peer review with severity scores",
"paper-to-code audits",
"replication plans and experiment execution",
"ML training recipes",
"source comparisons",
"paper-style drafts with inline citations",
"recurring monitors"
],
"integrations_available": [
"AlphaXiv",
"Hugging Face Hub",
"Exa",
"Perplexity",
"Gemini API",
"Docker",
"Modal",
"RunPod",
"GitHub",
"npm",
"Pi"
],
"protocols_or_interfaces": [
"API"
],
"industry_fit": [
"scientific research",
"developer tools",
"academia/ML research"
],
"autonomy_level": "agentic",
"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 pricing or paid plan amounts are shown on the homepage.",
"confidence": "medium",
"source_url": "https://www.feynman.is/",
"checked_at": "2026-07-26T04:42:08.684Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"open source",
"GitHub repository",
"built on Pi and alphaXiv"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://www.feynman.is/",
"https://github.com/companion-inc/feynman"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://www.feynman.is/",
"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": 322,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:33:36.660Z",
"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."
}