Enables searching and researching document collections through hybrid semantic search and agentic research queries with grounded, cited answers. It allows users to list collections, scan document sections, and retrieve full Markdown content via MCP-compatible agents.
Enables AI agents to search 580,000+ open-access papers, standards, textbooks, and legal documents, resolve identifiers such as RFCs, DOIs, and legal citations, download PDFs, and retrieve citations and metadata through MCP tools.
Fabrication-free, DOI-backed citations for AI content and agents, using openAlex public-domain data with resolvable DOIs. Includes an API and planned MCP server for agent-native citation retrieval.
Verifiable document intelligence for AI agents. Extract text, tables, and structured data from PDFs and URLs. Summarize, answer questions, check claims, and translate — all with cited evidence. Store tamper-evident evidence bundles with cryptographic signatures and on-chain attestation via Base L2.
Cross-document semantic search and Q&A across named collections. Pay per call with USDC
