
Finrobot
Runs multi-agent LLM analysis of financial data and generates professional equity research reports; supports investment research automation, algorithmic tradin…
What it does
The specific capability behind this listing, and where to get it.
Runs multi-agent LLM analysis of financial data and generates professional equity research reports; supports investment research automation, algorithmic trading strategies, and risk assessment
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Finrobot 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.
View the full niche →Comparable Equity 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": "finrobot",
"name": "Finrobot",
"url": "https://github.com/AI4Finance-Foundation/FinRobot",
"logo": "https://agentery.com/logos/CP-XBF776-256.png",
"niche": "equity-research-agent",
"category": "financial-services",
"short_summary": "Runs multi-agent LLM analysis of financial data and generates professional equity research reports; supports investment research automation, algorithmic tradin…",
"task_performed": "Runs multi-agent LLM analysis of financial data and generates professional equity research reports; supports investment research automation, algorithmic trading strategies, and risk assessment",
"inputs_accepted": [
"Financial data via FMP API (income statements",
"balance sheets",
"cash flows)",
"company tickers",
"market feeds",
"news",
"economic indicators",
"API keys/config"
],
"outputs_produced": [
"Professional multi-page HTML/PDF equity research reports with 15+ chart types",
"financial forecasts",
"DCF valuations",
"investment thesis",
"risk assessments",
"alerts",
"trading actions"
],
"integrations_available": [
"FMP API (Financial Modeling Prep)",
"OpenAI API",
"Adanos API",
"Finnhub",
"FinNLP",
"Ollama",
"Google Cloud (gcloud deploy)",
"Docker"
],
"protocols_or_interfaces": [
"API"
],
"industry_fit": [
"finance"
],
"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": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T04:51:51.021Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"7.3k GitHub stars",
"1.2k forks",
"Apache-2.0 license",
"Whitepaper",
"Example reports (NVDA, MSFT, COP, TSLA, META)"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/AI4Finance-Foundation/FinRobot"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/AI4Finance-Foundation/FinRobot",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"finrobot\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 684,
"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."
}