Code Fundi vs Sourcegraph Code Search

Code Fundi turns indexed repositories into searchable maps of a codebase for AI agents, teams, and applications. Search combines semantic search with documentation-aware and code grep; research adds AI synthesis grounded in repository search results. Its blast-radius analysis maps dependents, data flows, entry points, and call edges, and requires a DEV plan or higher. Users can access it through a web app, MCP server, HTTP API, or extensions for VS Code and Cursor; the maker also lists Windsurf support. The versioned API covers search, research, indexing, blast-radius analysis, Markdown blueprints, file documentation, history, and account utilities. Private repositories require a linked GitHub account with access. The maker says proprietary code is not used to train public models and describes its approach as zero-data retention. Plans set credit allowances, private repository caps, usage-log retention, and Markdown detail levels; research and chat can add model usage on top of base credit costs. Free includes 500 credits and email support; paid plans are Dev at $21 a month, Startup at $62 a month, and Pro at $210 a month.

Sourcegraph Code Search has no write-up on Specifiction yet; its figures are above.