Deepcon
Integrates docs, code, web, and deep research to deliver token-optimized, accurate context for coding agents.
A context retrieval tool that integrates documentation, code, web, and deep research to provide coding agents with accurate, token-optimized context. It solves the problem of agents working with incomplete or stale information by delivering precise, up-to-date context quickly. The product targets developers and engineering teams using AI coding agents like Claude Code, Codex, and Cursor, typically in mid-market to enterprise settings. It is positioned as a high-accuracy, token-efficient alternative to traditional deep research methods, with a benchmark showing 90% accuracy and low token usage.
Key features
- Search 10,000+ official docs
- Query decomposition for precise retrieval
- Real-time sync with latest docs
- Token-optimized delivery
- Multi-source intelligence (docs, web, code)
- Deep research integration
- Benchmark-verified 90% accuracy
- Supports Claude Code, Codex, Cursor
Social posts
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GTM channels
- API
- Docs
ICP
- Software developers
- Engineering teams
- Enterprises