Code Fundi vs searchcode

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.

searchcode provides code-intelligence dossiers for public GitHub repositories, covering languages, complexity, technology stacks, code quality, and secrets. Its MCP server exposes six tools for AI assistants, and each tool is also available as JSON over HTTP through the REST API. Analysis reports language breakdowns, complexity metrics, detected technologies, quality findings, and credentials such as API keys, tokens, and private keys with file, line, and confidence details. Search supports full text, boolean logic, regular expressions, and structural filters for declarations, usages, strings, and comments. File retrieval can return complete files, line ranges, or named symbols with nearby declarations; batch retrieval handles up to 10 files. The free beta plan covers public GitHub repositories without signup, an API key, or installation. Enterprise deployment runs on customer infrastructure as a Docker image with a Kubernetes Helm chart. Private repositories can authenticate with SSH keys or HTTPS tokens.