Ground agents in verifiable OECD share price indices across 36 countries so market comparisons rest on real data, not training memory.
An agent asked about prices or rates will happily invent a figure. Enable Global Market and it calls the globalstockmarket tool to check the live number before it answers — so the reply rests on real data, not the model's memory.
Give a market assistant a source it can actually cite: every figure it reports carries Global Market as its origin, so a human can trace where the number came from.
Because the model pulls global market at the moment it responds, the answer reflects the market now — not whatever was true when the model was trained.
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.
countrycountryNamebaselineyearmonthvaluedateHow to ground an agent in it over MCP.
