GPT Researcher

Autonomous research agent that plans research questions, scrapes and validates multiple web and local sources, then synthesizes findings into detailed cited reports exceeding 2000 words with 20+ sources.

Evaluated Mar 06, 2026 (0d ago) vunknown

Homepage ↗ Repo ↗ AI & Machine Learning deep-research autonomous-agent multi-source citations langchain langgraph tavily python

⚙ Agent Friendliness

/ 100

Can an agent use this?

🔒 Security

/ 100

Is it safe for agents?

⚡ Reliability

/ 100

Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality

Documentation

Error Messages

Auth Simplicity

Rate Limits

🔒 Security

TLS Enforcement

Auth Strength

Scope Granularity

Dep. Hygiene

Secret Handling

AI research agent. Requires LLM + search API keys. Web content may include untrusted data — validate before acting. Research outputs need verification.

⚡ Reliability

Uptime/SLA

Version Stability

Breaking Changes

Error Recovery

Best When

You need thorough, multi-source research synthesized into a cohesive report with citations, and can tolerate ~30-second to 5-minute processing times and per-query LLM costs.

Avoid When

You need instant answers, have no budget for LLM API costs, or need fully reproducible deterministic outputs.

Use Cases

• Market research and competitive analysis with cited sources
• Academic literature review and synthesis across multiple papers
• Investment due diligence and company analysis
• Technical documentation research and fact-checking
• News trend analysis aggregating multiple perspectives

Not For

• Real-time or sub-second search results
• Simple single-query lookups where a search engine suffices
• Offline-only environments with no web access
• Tasks requiring deterministic, reproducible outputs

Interface

REST API

Yes

GraphQL

gRPC

MCP Server

No ↗

SDK

Yes

Webhooks

Authentication

Methods: api_key

OAuth: No Scopes: No

Requires OPENAI_API_KEY and TAVILY_API_KEY environment variables. Supports other LLM providers (Anthropic, etc.) via custom base URL configuration.

Pricing

Model: open_source

Free tier: Yes

Requires CC: No

Open source Apache 2.0. Operational costs depend on chosen LLM provider and web search API.

Agent Metadata

Pagination

unknown

Idempotent

Unknown

Retry Guidance

Not documented

Known Gotchas

⚠ Deep research mode takes ~5 minutes and costs ~$0.40 per query
⚠ Requires both OpenAI and Tavily API keys minimum
⚠ Python 3.11+ required
⚠ Results vary between runs due to web source availability

Alternatives

{'name': 'Tavily', 'note': 'Simpler web search API without autonomous agent orchestration'} {'name': 'Perplexity', 'note': 'Hosted research assistant with faster responses but less depth'} {'name': 'AutoGPT', 'note': 'General autonomous agent, not research-specialized'}

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API endpoint ↗ Agent guide ↗ Report inaccuracy

Scores are editorial opinions as of 2026-03-06.