experiment_results
Pack: ai-model-experiments · Endpoint: https://gateway.pipeworx.io/ai-model-experiments/mcp
Results of an experiment: per-model aggregates (mean latency, tokens, total billed cost, error rate), per-cell outputs, and the AI-written summary comparing how the models differed (if enabled). Use include_outputs:false for aggregates only. Example: experiment_results({ experiment_id: ”…” })
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
experiment_id | string | yes | From experiment_create |
include_outputs | boolean | no | Include full model outputs per cell (default true) |
Example call
curl -X POST https://gateway.pipeworx.io/ai-model-experiments/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"experiment_results","arguments":{}}}'
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"ai-model-experiments": {
"url": "https://gateway.pipeworx.io/ai-model-experiments/mcp"
}
}
}
See Getting Started for client-specific install steps.