Ground enterprise agents in verifiable central bank policy rates for 22 economies, so monetary answers track live FRED data instead of stale memory.
An agent asked about prices or rates will happily invent a figure. Enable Interest Rate and it calls the interestrate 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 Interest Rate as its origin, so a human can trace where the number came from.
Because the model pulls interest rate 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.
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