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curl --request POST \
--url https://api.example.com/v2/{entity}/{project}/eval_results/query \
--header 'Authorization: Basic <encoded-value>' \
--header 'Content-Type: application/json' \
--data '
{
"evaluation_call_ids": [
"<string>"
],
"evaluation_run_ids": [
"<string>"
],
"require_intersection": false,
"include_raw_data_rows": false,
"resolve_row_refs": false,
"include_rows": true,
"include_summary": false,
"summary_require_intersection": true,
"limit": 123,
"offset": 0
}
'{
"rows": [
{
"row_digest": "<string>",
"raw_data_row": null,
"evaluations": [
{
"evaluation_call_id": "<string>",
"trials": [
{
"predict_and_score_call_id": "<string>",
"predict_call_id": "<string>",
"model_output": null,
"scores": {},
"model_latency_seconds": 123,
"total_tokens": 123,
"scorer_call_ids": {}
}
]
}
]
}
],
"total_rows": 123,
"summary": {
"row_count": 0,
"evaluations": [
{
"evaluation_call_id": "<string>",
"trial_count": 0,
"scorer_stats": [
{
"scorer_key": "<string>",
"path": "<string>",
"value_type": "binary",
"trial_count": 0,
"numeric_count": 0,
"numeric_mean": 123,
"pass_true_count": 0,
"pass_known_count": 0,
"pass_rate": 123,
"pass_signal_coverage": 123
}
],
"evaluation_ref": "<string>",
"model_ref": "<string>",
"display_name": "<string>",
"trace_id": "<string>",
"started_at": "<string>"
}
]
},
"warnings": [
"<string>"
]
}Read grouped evaluation result rows for one or more evaluations.
curl --request POST \
--url https://api.example.com/v2/{entity}/{project}/eval_results/query \
--header 'Authorization: Basic <encoded-value>' \
--header 'Content-Type: application/json' \
--data '
{
"evaluation_call_ids": [
"<string>"
],
"evaluation_run_ids": [
"<string>"
],
"require_intersection": false,
"include_raw_data_rows": false,
"resolve_row_refs": false,
"include_rows": true,
"include_summary": false,
"summary_require_intersection": true,
"limit": 123,
"offset": 0
}
'{
"rows": [
{
"row_digest": "<string>",
"raw_data_row": null,
"evaluations": [
{
"evaluation_call_id": "<string>",
"trials": [
{
"predict_and_score_call_id": "<string>",
"predict_call_id": "<string>",
"model_output": null,
"scores": {},
"model_latency_seconds": 123,
"total_tokens": 123,
"scorer_call_ids": {}
}
]
}
]
}
],
"total_rows": 123,
"summary": {
"row_count": 0,
"evaluations": [
{
"evaluation_call_id": "<string>",
"trial_count": 0,
"scorer_stats": [
{
"scorer_key": "<string>",
"path": "<string>",
"value_type": "binary",
"trial_count": 0,
"numeric_count": 0,
"numeric_mean": 123,
"pass_true_count": 0,
"pass_known_count": 0,
"pass_rate": 123,
"pass_signal_coverage": 123
}
],
"evaluation_ref": "<string>",
"model_ref": "<string>",
"display_name": "<string>",
"trace_id": "<string>",
"started_at": "<string>"
}
]
},
"warnings": [
"<string>"
]
}Documentation Index
Fetch the complete documentation index at: https://wb-21fd5541-john-wbdocs-2044-rename-serverless-products.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Basic authentication header of the form Basic <encoded-value>, where <encoded-value> is the base64-encoded string username:password.
Evaluation root call IDs to include.
Alias for evaluation call IDs from the Evaluation Runs API.
When true, only include rows present in all requested evaluations.
When true, populate raw_data_row on each result row. Inline rows are returned as their dict value; dataset-referenced rows are returned as the ref string unless resolve_row_refs is also true.
When true (requires include_raw_data_rows=True), resolve dataset-row reference strings to actual row data via a table lookup. When false, dataset-row refs are returned as-is.
When true, include grouped row/trial data in rows and compute total_rows for the requested row-level view.
When true, include aggregated scorer/evaluation summary data in summary.
Optional intersection behavior for the summary section. When null, the value of require_intersection is used.
Optional row-level page size applied after grouping and intersection.
Optional row-level page offset applied after grouping and intersection.
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