Transparency
Public
Contract
Monthly or Annual
Data training
Not Trained
Autonomy
Autonomous
Capabilities
web-searchcitationsdeep-researchdata-analysiscode-generation
Pros & Limitations
Editorial assessmentPros
- ✓Fully transparent per-request pricing with $100 free credit: Search API at $5/1K calls and Contents API at $1/1K pages provide clear cost visibility that developers can model before committing, with volume discounts as usage scales and no minimum requirements.
- ✓MCP Server and unified Python SDK provide standardized integration: any MCP-compatible AI client can access search, contents, and research capabilities directly, reducing integration effort for agent developers already using the Model Context Protocol ecosystem.
- ✓Finance Research API scoring 87.29% on the FinSearchComp benchmark provides specialized financial research synthesis: a differentiated capability for AI agents serving financial services, investment research, and market intelligence use cases that general search APIs do not optimize for.
Limitations
- ⚠Smaller developer ecosystem than 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.
- ⚠Consumer-to-API pivot creates mixed public signals: Trustpilot shows 50 reviews at 2.1 from the consumer search era, potentially creating negative first impressions for enterprise procurement teams evaluating the current API product (which has 4.4/5 on G2 with 19 reviews).
- ⚠Research API pricing is not published as transparently as Search and Contents APIs: 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
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.
MCP compatibleYes
Integrations
Python SDKMCP ServerREST APINews API (included)Contents API
Security
SOC 2 Type II
Similar agents
Industries
B2BEnterpriseSaaS
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