Ground agents in verifiable US county demographics, income and health data so regional answers rest on real statistics, not estimates.
Give an agent US County so it resolves places, distances, and timezones from real data instead of approximating — the difference between a plausible answer and a correct one.
When a user names a location, the agent calls countydata to confirm and normalize it before acting, closing off a common source of silent errors.
Every location fact the agent uses carries US County as its origin, so the reasoning is auditable end to end.
Point your agent framework at the VerveContext endpoint. Every enabled source — this one included — becomes a tool the model can call. No per-source plumbing.
{
"mcpServers": {
"vervecontext": {
"url": "https://api.vervecontext.com/v1/mcp",
"headers": { "x-api-key": "vc_live_••••" }
}
}
}Each call returns structured fields your agent can read — and trace back to this source.
namestateagemalefemalehealthlongitudelatitudeHow to ground an agent in it over MCP.