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start_lookalike

POST /v1/company/lookalike. Find similar companies using seed domains. Returns a job_id (async, 202). Poll GET /v1/company/lookalike/{job_id}/status until completed or failed.

Part of the DataMerge server.

start_lookalike can trigger actions in DataMerge, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke start_lookalike to trigger processes or run actions in DataMerge. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

start_lookalike can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_lookalike": {
      "limits": [
        {
          "counter": "start_lookalike_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full DataMerge policy for all 20 tools.

Get this rule live on your own DataMerge server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access start_lookalike gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so start_lookalike only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the start_lookalike tool do? +

POST /v1/company/lookalike. Find similar companies using seed domains. Returns a job_id (async, 202). Poll GET /v1/company/lookalike/{job_id}/status until completed or failed.. It is categorised as a Execute tool in the DataMerge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_lookalike? +

Register the DataMerge MCP server in PolicyLayer and add a rule for start_lookalike: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches DataMerge. Nothing to install.

What risk level is start_lookalike? +

start_lookalike is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit start_lookalike? +

Yes. Add a rate_limit block to the start_lookalike rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block start_lookalike completely? +

Set action: deny in the PolicyLayer policy for start_lookalike. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides start_lookalike? +

start_lookalike is provided by the DataMerge MCP server (datamerge/enrich). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DataMerge tool call.

Deterministic rules across all 20 DataMerge tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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