# programmatic_attribution_calibrator

For ad_revenue_ops persona: calibrates marketing mix models (MMM) by ingesting OpenRTB impression-level data from FreeWheel Marketplace and other programmatic sources. Accepts model parameters, date ranges, and impression IDs as input, returning structured calibration metrics and attribution adjustments. Useful for improving model accuracy with real-time bidding data and validating revenue attribution across programmatic channels.

Agent View of the PolicyLayer registry record for `programmatic_attribution_calibrator`. HTML page: https://policylayer.com/tools/io-github-getgapup-gapup-mcp/programmatic-attribution-calibrator

## Facts

- Tool: `programmatic_attribution_calibrator`
- Server: Gapup Mcp (`https://mcp.gapup.io/mcp`) — https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md
- Homepage: https://github.com/getgapup/gapup-mcp-public
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 6 (3 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `async` | boolean | no | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
| `endDate` | string | yes | End date for impression data (ISO 8601) |
| `modelId` | string | yes | Identifier of the MMM model to calibrate |
| `startDate` | string | yes | Start date for impression data (ISO 8601) |
| `impressionIds` | array | no | List of OpenRTB impression IDs to include in calibration |
| `confidenceThreshold` | number | no | Confidence threshold for calibration metrics |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "programmatic_attribution_calibrator",
    "arguments": {
      "endDate": "<endDate>",
      "modelId": "<modelId>",
      "startDate": "<startDate>"
    }
  }
}
```

## Why programmatic_attribution_calibrator is rated Medium

This tool modifies marketing attribution models and their calibration parameters based on impression-level data ingestion. While it does not delete or destroy data (Destructive), nor does it move money directly (Financial), it does create or update model states and attribution records reversibly. The 'calibrates' and 'adjustments' language indicates write/modification operations rather than pure queries.

From the tool's own definition: "Tool 'ingests' and 'calibrates' data, 'accepts model parameters' as input, and 'returns structured calibration metrics and attribution adjustments'. The description indicates data modification of marketing mix models through real-time bidding data processing."

## Use case

AI agents use programmatic_attribution_calibrator to create or update resources in Gapup Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gapup Mcp environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Gapup Mcp:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "programmatic_attribution_calibrator": {
      "limits": [
        {
          "counter": "programmatic_attribution_calibrator_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

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## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-getgapup-gapup-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-gapup-mcp