Api Scores List

Create view for evaluation results Synced to clickhouse automatically via evaluation.signals Endpoint: /api/scores/ Args: - evaluator_id: The ID of the Evaluator instance to associate with - numerical_value: The numerical score of this result - string_value: The string score of this result - boolean_value: The boolean score of this result - categorical_value (Optional): The categorical score values (list of strings) - log_id (Optional): The ID of the CHLogV3 instance to associate with - prompt_id (Optional): The ID of the Prompt instance to associate with - prompt_version_number (Optional): The version number of the Prompt instance to associate with - dataset_id (Optional): The ID of the Dataset instance to associate with Return: { "id": "xxxx", "created_at": "2025-09-07T08:35:16.770817Z", "type": "llm", "environment": "test", "numerical_value": null, "string_value": null, "boolean_value": null, "categorical_value": [], "is_passed": false, "cost": 0.0, "evaluator_id": "9b589384-574a-429c-8996-58419f514871", "log_id": "some_log_id", "dataset_id": null }

Authentication

AuthorizationBearer
JWT access token or Respan API key

Query parameters

pageintegerOptional
A page number within the paginated result set.
page_sizeintegerOptional
Number of results to return per page.

Response

countinteger
resultslist of objects
nextstring or nullformat: "uri"
previousstring or nullformat: "uri"
total_countinteger
current_filtersobject

Pydantic model for FilterParamDict. A dictionary that maps metric names to their filter parameters.

Each key is a metric name (str), and each value can be:

  • A single MetricFilterParamPydantic (one condition)
  • A List[MetricFilterParamPydantic] (multiple conditions for same metric)
  • A FilterBundlePydantic (nested filter bundle with connector)

Note: Uses extra=“allow” for dynamic metric name fields. The pydantic_extra annotation tells Pydantic what types to expect for extra fields, and generates typed additionalProperties in JSON Schema.

filters_dataobject