Call Imports
Aggregate signals across every evaluation run on this import.
Powers the Insights tab on the call-import detail page: returns per-metric "latest run" summaries plus a trend series of mean values across runs so the UI can render a small line chart per metric. Also bundles transcript coverage stats since those are the cheapest pre-eval health-check (e.g. "30 of 50 rows still missing transcripts").
AuthorizationBearer <token>
JWT access token. Use: Authorization: Bearer .
In: header
Path Parameters
call_import_id*Call Import Id
Format
uuidHeader Parameters
X-API-Key?string|null
X-EFFICIENTAI-API-KEY?string|null
X-Workspace-Id?string|null
Response Body
application/json
application/json
curl -X GET "https://example.com/api/v1/call-imports/497f6eca-6276-4993-bfeb-53cbbbba6f08/insights"{ "call_import_id": "cb7f39d3-0e2b-434e-a045-67668dae83d6", "total_rows": 0, "rows_with_transcript": 0, "rows_without_transcript": 0, "transcript_source_counts": { "property1": 0, "property2": 0 }, "evaluation_count": 0, "metrics": [ { "metric_id": "string", "metric_name": "string", "metric_type": "string", "latest": { "metric_id": "string", "metric_name": "string", "metric_type": "string", "metric_category": "quality", "is_multi_label_parent": false, "count": 0, "skipped_count": 0, "error_count": 0, "mean": 0, "median": 0, "p25": 0, "p75": 0, "p95": 0, "min": 0, "max": 0, "stddev": 0, "histogram_buckets": [ { "x0": 0, "x1": 0, "count": 0 } ], "value_counts": [ { "label": "string", "count": 0 } ], "co_occurrence": [ { "a": "string", "b": "string", "count": 0 } ] }, "trend": [ { "evaluation_id": "4108ec8e-6efd-4b9b-bace-0bb4c296c324", "name": "string", "created_at": "2019-08-24T14:15:22Z", "mean": 0, "completed_rows": 0 } ] } ]}Community & contact
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