Structured web context infrastructure for AI agents. Extract reliable schema-guided JSON from websites using Claude-powered parsing, Browserless fallback rendering, and MCP-native workflows.
Enables privacy-first web scraping and structured data extraction using a local headless browser and your own LLM key. Supports tools for scraping, batch scraping, data extraction with prompts or schemas, and screenshots.
Turns the Schema.org markup already present in a webpage into MCP tools an AI agent can call, extracting JSON-LD, microdata, and RDFa to expose read-only and custom tools. It runs as a stdio or Streamable HTTP MCP server, enabling agents to interact with page entities without additional APIs or backends.
Enables AI agents to extract structured JSON data from web pages using presets or custom JSON schemas, with confidence scores and source snippets, paid per call via USDC on Base.