> ## Documentation Index > Fetch the complete documentation index at: https://docs.coval.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get metric > Retrieve a specific metric by ID. ## OpenAPI ````yaml /api-reference/v1/metrics-v1.yaml get /metrics/{metric_id} openapi: 3.0.3 info: title: Coval Metrics API version: 1.0.0 description: | Manage custom evaluation metrics for agent testing and monitoring. contact: name: Coval API Support email: support@coval.dev url: https://docs.coval.ai license: name: Proprietary url: https://coval.dev/terms servers: - url: https://api.coval.dev/v1 description: Production API security: - ApiKeyAuth: [] tags: - name: Metrics description: CRUD operations for custom evaluation metrics paths: /metrics/{metric_id}: get: tags: - Metrics summary: Get metric description: Retrieve a specific metric by ID. operationId: getMetric parameters: - name: metric_id in: path required: true schema: type: string pattern: ^[a-zA-Z0-9]{22}$ description: 22-character metric ID responses: '200': description: Successful response content: application/json: schema: $ref: '#/components/schemas/GetMetricResponse' '401': $ref: '#/components/responses/Unauthorized' '404': $ref: '#/components/responses/NotFound' '500': $ref: '#/components/responses/InternalError' components: schemas: GetMetricResponse: type: object required: - metric properties: metric: $ref: '#/components/schemas/MetricResource' MetricResource: type: object description: Metric resource properties: name: type: string description: Resource name example: metrics/abc123def456ghi789jklm id: type: string description: Metric ID example: abc123def456ghi789jklm metric_name: type: string description: Display name example: Customer Satisfaction description: type: string description: Metric description example: Evaluates customer satisfaction metric_type: $ref: '#/components/schemas/MetricType' prompt: type: string nullable: true description: LLM evaluation prompt (for LLM-based metrics) example: Did the agent resolve the issue? categories: type: array nullable: true items: type: string maxItems: 50 description: Classification categories (for categorical metrics) example: - positive - neutral - negative min_value: type: number nullable: true description: Minimum score value (for numerical metrics) example: 1 max_value: type: number nullable: true description: Maximum score value (for numerical metrics) example: 10 metadata_field_type: allOf: - $ref: '#/components/schemas/MetadataFieldType' nullable: true description: Field type (for METRIC_METADATA_FIELD) metadata_field_key: type: string nullable: true description: Metadata key to extract (for METRIC_METADATA_FIELD) example: satisfaction_score regex_pattern: type: string nullable: true description: Regex pattern (for METRIC_TRANSCRIPT_REGEX) example: (hello|hi) role: type: string nullable: true description: Speaker role filter (for METRIC_TRANSCRIPT_REGEX) enum: - agent - user example: agent min_pause_duration_seconds: type: number nullable: true description: Minimum pause duration (for METRIC_PAUSE_ANALYSIS) example: 0.5 include_traces: type: boolean nullable: true description: > Whether OTel trace context is injected into the LLM judge prompt during evaluation. Supported for LLM judge metric types only (`METRIC_LLM_BINARY`, `METRIC_CATEGORICAL`, `METRIC_NUMERICAL_LLM_JUDGE`, `METRIC_AUDIO_LLM_BINARY`, `METRIC_AUDIO_LLM_CATEGORICAL`, `METRIC_AUDIO_LLM_NUMERICAL`). runtime_config: allOf: - $ref: '#/components/schemas/MetricRuntimeConfig' description: | LLM model and thinking configuration for this metric. Not supported for audio metric types (`METRIC_AUDIO_LLM_BINARY`, `METRIC_AUDIO_LLM_CATEGORICAL`, `METRIC_AUDIO_LLM_NUMERICAL`), which always use the platform-default audio model. target_condition: allOf: - $ref: '#/components/schemas/TargetCondition' description: Target condition for metric evaluation tags: type: array description: Tags associated with this metric items: type: string default: [] example: - production - llm created_by: type: string nullable: true description: Creator email create_time: type: string format: date-time description: Creation timestamp update_time: type: string format: date-time nullable: true description: Last update timestamp current_version: allOf: - $ref: '#/components/schemas/CurrentMetricVersion' nullable: true description: >- The metric's live version. Null for pre-versioning metrics that have not yet been saved or run under the versioning system. Full history at GET /v1/metrics/{metric_id}/versions. ErrorResponse: type: object required: - error properties: error: type: object required: - code - message properties: code: type: string enum: - INVALID_ARGUMENT - UNAUTHENTICATED - PERMISSION_DENIED - NOT_FOUND - ALREADY_EXISTS - INTERNAL message: type: string details: type: array items: type: object properties: field: type: string nullable: true description: type: string MetricType: type: string description: | Metric evaluation type. - `METRIC_LLM_BINARY` - Yes/no LLM evaluation - `METRIC_CATEGORICAL` - Multi-class classification - `METRIC_NUMERICAL_LLM_JUDGE` - Numerical scoring (1-N) - `METRIC_AUDIO_LLM_BINARY` - Audio-based yes/no - `METRIC_AUDIO_LLM_CATEGORICAL` - Audio-based classification - `METRIC_AUDIO_LLM_NUMERICAL` - Audio-based scoring - `METRIC_TOOLCALL` - Tool/function call evaluation - `METRIC_METADATA_FIELD` - Extract metadata field - `METRIC_TRANSCRIPT_REGEX` - Regex pattern matching - `METRIC_PAUSE_ANALYSIS` - Speech pause detection enum: - METRIC_LLM_BINARY - METRIC_CATEGORICAL - METRIC_NUMERICAL_LLM_JUDGE - METRIC_AUDIO_LLM_BINARY - METRIC_AUDIO_LLM_CATEGORICAL - METRIC_AUDIO_LLM_NUMERICAL - METRIC_TOOLCALL - METRIC_METADATA_FIELD - METRIC_TRANSCRIPT_REGEX - METRIC_PAUSE_ANALYSIS MetadataFieldType: type: string description: Data type for metadata field extraction enum: - STRING - NUMBER - BOOLEAN MetricRuntimeConfig: type: object description: LLM model and thinking configuration for metric execution properties: model_version: type: string description: > Model identifier in canonical colon-separated format (e.g. `"openai:gpt-4.1-mini-2025-04-14"`). Use `GET /v1/models/metric` to list available models and their identifiers. example: openai:gpt-4.1-mini-2025-04-14 thinking_enabled: type: boolean nullable: true description: > Enable extended thinking / reasoning mode. Only supported on select enterprise models (`supports_thinking: true` in the model list). Attempting to enable this on an unsupported model returns `400 THINKING_NOT_SUPPORTED`. TargetCondition: type: object description: >- The metric's success criteria — the rule that decides which output value counts as a pass/success. It is a comparison operator plus a target value, stored in the metric's config and used to compute pass/fail and dashboard success rates. Set it via create or update so no manual UI step is needed. For a yes/no (binary) metric where "YES" is a pass, use `{"comparison_operator": "in", "target_values": ["YES"]}`; for a 1-5 numeric metric where >= 4 is a pass, use `{"comparison_operator": "gte", "target_float": 4}`. required: - comparison_operator oneOf: - required: - target_float - required: - target_values properties: comparison_operator: type: string description: >- How the metric output is compared to the target. Use a numeric operator (`eq`/`neq`/`gt`/`gte`/`lt`/`lte`) with `target_float`, or a membership operator (`in`/`nin`) with `target_values`. enum: - eq - neq - gt - gte - lt - lte - in - nin target_float: type: number nullable: true description: Target number for the numeric operators (eq/neq/gt/gte/lt/lte). target_values: type: array items: type: string minItems: 1 maxItems: 50 nullable: true description: >- Target value(s) for the membership operators (in/nin), e.g. `["YES"]`. example: - 'YES' example: comparison_operator: in target_values: - 'YES' CurrentMetricVersion: type: object description: The metric's live version, embedded on MetricResource. required: - ulid - version_number - change_type properties: ulid: type: string description: Identifier of the current version row (26-char ULID) example: 01KKWQYSF737ZN6X1Q1RYX8M2D version_number: type: integer description: Per-metric monotonic version number, 1-based example: 3 change_type: $ref: '#/components/schemas/MetricVersionChangeType' MetricVersionChangeType: type: string description: >- How a metric version came about. A revert is a save whose new state mirrors an older version. enum: - save - revert responses: Unauthorized: description: Authentication failed content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: error: code: UNAUTHENTICATED message: Authentication failed details: - field: X-API-Key description: Invalid or missing API key NotFound: description: Resource not found content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: error: code: NOT_FOUND message: Metric not found details: - field: metric_id description: No metric found with this ID InternalError: description: Internal server error content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: error: code: INTERNAL message: Internal server error securitySchemes: ApiKeyAuth: type: apiKey in: header name: X-API-Key description: API key for authentication ````