Data Legion

Tracked · below panel floor — earned mentions are accruing toward the next scored window.

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Data Legion positions itself as data infrastructure built agent-first, delivering person and company records through whichever surface an agent or a human team already uses (REST API, MCP tool calls, a CLI a coding agent can shell out to, or a bulk feed), with usage metered and paid per call over agent-native payment rails rather than a seat license. That agent-first framing describes how it wants to be found and adopted more than it describes reach in outside conversation today. It's a quieter footprint so far, consistent with a very new, small-team launch rather than an established or actively discussed vendor.

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Data Legion ships its person and company data as an MCP server alongside a REST API, SDK, and CLI, with the MCP server connecting to Claude, ChatGPT, Gemini, Cursor, and other agent clients through standard credential-based setup. It exposes enrichment and structured search tools for people and companies, plus utility functions like data normalization built for direct agent calls. Billing runs on pay-per-call credits, including agent checkout on stablecoin rails, built for metered, autonomous use rather than seat-based access.