Transparency
Mostly Public
Contract
Monthly or Annual
Data training
Not Trained
Autonomy
Autonomous
Capabilities
web-searchcontent-extractiondeep-researchdata-analysiscitations
Pros & Limitations
Editorial assessmentPros
- ✓Transparent per-request pricing with a $100 free credit: Search API at $5/1K calls and Contents API at $1/1K pages give developers clear cost visibility to model before committing, with volume discounts as usage scales and no minimums.
- ✓MCP server and a unified Python SDK provide standardized integration: any MCP-compatible AI client can access search, contents, and research directly, reducing integration effort for agent developers already in the Model Context Protocol ecosystem.
- ✓The Finance Research API scores 87.29% on the FinSearchComp benchmark, a specialized financial-research synthesis capability differentiated for AI agents serving financial services, investment research, and market intelligence that general search APIs do not optimize for.
Limitations
- ⚠Smaller developer ecosystem than its primary competitors: Tavily (2M+ developers, acquired by Nebius for $275M) and Exa AI ($361M raised, $2.2B valuation, 400K+ developers) have larger installed bases, more documented framework integrations, and stronger community resources for agent developers.
- ⚠The consumer-to-API pivot creates mixed public signals: Trustpilot shows 50 reviews at 2.1 from the consumer search era, which can create negative first impressions for enterprise procurement teams evaluating the current API product (4.4/5 on G2 with 19 reviews).
- ⚠Research API pricing is not published as transparently as Search and Contents: while Search ($5/1K) and Contents ($1/1K) rates are clearly listed, Research API per-request pricing requires deeper engagement, reducing the self-serve evaluation experience for research-heavy use cases.
Technical Details
Deployment
webapi
Model architectureProprietary web search and research APIs (Search, Contents, Research, Finance Research) with an MCP server and Python SDK
Avg setup time< 30 minutes (sign up, $100 free credit, generate API key, install Python SDK)
Autonomous rateResearch API autonomously synthesizes information from multiple web sources into structured research outputs. Finance Research API provides autonomous financial research synthesis scoring 87.29% on FinSearchComp. Search and Contents APIs resolve queries autonomously at per-request pricing. Agent developers configure how AI agents use returned data.
MCPServer
Integrations
Python SDKMCP ServerREST APINews API (included)Contents API
Security
SOC 2 Type II
Similar agents
Industries
B2BEnterpriseSaaS
Leave a review
Never displayed publicly.
Agent Stacks
See workflow stacks that feature You.com.
Related Content
Is this your tool?
Claim this listing free to get your embeddable badges, a review collection link, and the Verified checkmark.
Claim listing →Free · Every Two Weeks
AI Agent Price & Rating Tracker
Price changes, new agent launches, acquisitions, and rating updates across 344+ AI agents. Verified against live vendor data, not vendor marketing.
No spam. Unsubscribe anytime. We never share your email.