FirstData

AI agents can auto-register and configure access via standardized Skills, enabling zero-touch integration. The README highlights this as a core design principle, with a dedicated Skill for platforms like ClawHub.

Every data source includes machine-readable metadata (URLs, APIs, authority levels) to support automated evidence chain construction. The README provides a detailed schema for fields like coverage, access levels, and update frequency.

Sources are categorized by credibility (e.g., government, international, research) to guide quality filtering. This is explicitly designed to combat AI hallucinations by prioritizing primary evidence over secondary sources.

Provides a Model Context Protocol server for seamless integration with AI applications like Claude Desktop and Cline. The README includes extensive configuration guides for over a dozen platforms, lowering the barrier to adoption.

An LLM-driven agent understands complex queries and recommends the most relevant authoritative data sources. The README demonstrates this with examples like finding IPO prospectuses or climate data, reducing manual search time.