Bot Detection

Verifiable groundingNetworking1 credit/callMCPNew
MCP toolbotdetector

Ground agents in a verifiable database of known bots and crawlers so traffic and access decisions rest on real reputation data, not guesses.

Verify hosts and IPs

Give an agent Bot Detection so it resolves and checks hosts against real data before acting, rather than assuming — grounding network reasoning in fact.

Ground an ops assistant

Wire botdetector into an operations agent so its answers about connectivity and infrastructure rest on live lookups it can cite.

Traceable checks

Each result the agent relies on carries Bot Detection as its source, keeping the reasoning auditable.

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.

context.json
{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp",
      "headers": { "x-api-key": "vc_live_••••" }
    }
  }
}
# “botdetector” is now a tool your agent can call

Each call returns structured fields your agent can read — and trace back to this source.

  • userAgent
  • isBot
  • bot

Bot Detection, answered

How to ground an agent in it over MCP.

How do I give my agent Bot Detection?
Enable it on VerveContext and point your agent framework at the VerveContext MCP endpoint. Bot Detection then appears to the model as a tool named botdetector, which it calls when a task needs it — no per-source plumbing.
Which agents and frameworks can use it?
Any MCP client — Claude, Cursor, LangChain, and custom agents all speak the Model Context Protocol. Bot Detection is exposed as a standard tool, so nothing source-specific is required.
Can the agent cite Bot Detection?
Yes. Bot Detection is verifiable factual grounding — every value the agent pulls can carry Bot Detection as its source, so a person (or another system) can trace where the fact came from.
How many credits does a Bot Detection call cost?
Each call costs 1 credit. Scoped keys let you grant an agent only the sources it should reach, and usage logs show exactly what was pulled to ground each answer.
How current is the data?
Bot Detection is served live from APIVerve's production data engine and pulled at the moment the agent calls it, so answers reflect the world now rather than the model's training cutoff.
Where does the data come from, and what shows on my bill?
VerveContext runs on APIVerve, our production data engine; Bot Detection is one of 300+ sources on the same key. Invoices and card statements show APIVERVE.

Ground your agents in Bot Detection. Connect over MCP, enable the source, and every answer carries its receipts.

Scaling up?

Volume pricing, custom SLAs, and dedicated support for high-traffic teams.

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