> ## Documentation Index > Fetch the complete documentation index at: https://docs.domino.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get evaluation histogram data > Get histogram data for the specified evaluation name ## OpenAPI ````yaml /api-specs/cloud/public-api.json get /api/model-services/v1/aisystem/{system_id}/version/{version_id}/chart/histogram/eval_name/{eval_name} openapi: 3.0.3 info: title: Domino Public API description: Reference for Domino's public REST API endpoints. version: 6.4.0 x-catalog-key: nucleus servers: - url: https://mycluster.domino.tech description: >- Replace 'mycluster.domino.tech' with your Domino cluster hostname. For Domino Cloud customers, that is `your-subdomain`.domino.tech (e.g., acme.domino.tech). For self-hosted deployments, it is the hostname you reach the Domino UI at. security: [] tags: - name: Projects - name: Project templates - name: Workspaces - name: Jobs - name: HPC Jobs - name: Environments - name: Hardware Tiers - name: Datasets - name: Data Sources - name: GenAI - name: AI Systems - name: Apps - name: App versions - name: App instances - name: Model APIs - name: Registered models - name: Model deployment - name: Extensions - name: Cost and billing - name: Users and organizations - name: Service accounts - name: Personal Access Tokens - name: Personal Access Tokens (admin) - name: Audit Trail - name: Custom metrics - name: PPM - name: Model Monitoring models - name: Model Monitoring drift and quality - name: Model Monitoring settings - name: Model Monitoring authentication - name: Governance bundles - name: Governance policies - name: Governance evidence and results - name: Governance operations - name: NetApp Volumes - name: NetApp Volumes snapshots - name: NetApp Volumes filesystems - name: NetApp Volumes transfers - name: Tags - name: Properties externalDocs: description: OpenAPI url: https://swagger.io/resources/open-api/ paths: /api/model-services/v1/aisystem/{system_id}/version/{version_id}/chart/histogram/eval_name/{eval_name}: get: tags: - AI Systems summary: Get evaluation histogram data description: Get histogram data for the specified evaluation name operationId: get_evaluation_histogram parameters: - in: path name: system_id required: true schema: type: string - in: path name: version_id required: true schema: type: string - in: path name: eval_name required: true schema: type: string - description: >- Start time for the query in RFC3339 format. Defaults to 7 days ago if not specified. explode: false in: query name: start_time schema: description: >- Start time for the query in RFC3339 format. Defaults to 7 days ago if not specified. format: date-time type: string - description: >- Optional numeric metric to aggregate per categorical value. When omitted, bars represent trace counts. explode: false in: query name: metric schema: description: >- Optional numeric metric to aggregate per categorical value. When omitted, bars represent trace counts. type: string - description: >- Aggregation applied to 'metric' per categorical value. Defaults to 'count'. explode: false in: query name: aggregation schema: description: >- Aggregation applied to 'metric' per categorical value. Defaults to 'count'. enum: - count - mean - min - max - p50 - p95 type: string - description: >- Optional URL-encoded JSON filter. See the /filters endpoint for available fields. explode: false in: query name: filter schema: description: >- Optional URL-encoded JSON filter. See the /filters endpoint for available fields. type: string responses: '200': content: application/json: schema: $ref: >- #/components/schemas/mlflow-proxy_GetEvaluationHistogramResponseBody description: OK default: content: application/problem+json: schema: $ref: '#/components/schemas/mlflow-proxy_ErrorModel' description: Error components: schemas: mlflow-proxy_GetEvaluationHistogramResponseBody: additionalProperties: false properties: $schema: description: A URL to the JSON Schema for this object. example: >- /api/model-services/v1/aisystem/schemas/GetEvaluationHistogramResponseBody.json format: uri readOnly: true type: string aggregation: description: >- Echoes the aggregation applied ("count" when no metric was requested). enum: - count - mean - min - max - p50 - p95 type: string available_metrics: description: Numeric metrics that can be aggregated for this categorical. items: type: string nullable: true type: array data: description: Histogram buckets, one per categorical value. items: $ref: '#/components/schemas/mlflow-proxy_Point' nullable: true type: array end_time: description: Exclusive end of the histogram window. format: date-time type: string metric: description: Echoes the aggregated metric; empty in count mode. type: string start_time: description: Inclusive beginning of the histogram window. format: date-time type: string unit: description: >- Unit of the aggregated values, when known (e.g. "ms" for response time). type: string x_axis_label: description: Name of the evaluation represented on the x-axis. type: string required: - x_axis_label - start_time - end_time - data - aggregation - available_metrics type: object mlflow-proxy_ErrorModel: additionalProperties: false properties: $schema: description: A URL to the JSON Schema for this object. example: /api/model-services/v1/aisystem/schemas/ErrorModel.json format: uri readOnly: true type: string detail: description: >- A human-readable explanation specific to this occurrence of the problem. example: Property foo is required but is missing. type: string errors: description: Optional list of individual error details items: $ref: '#/components/schemas/mlflow-proxy_ErrorDetail' nullable: true type: array instance: description: >- A URI reference that identifies the specific occurrence of the problem. example: https://example.com/error-log/abc123 format: uri type: string status: description: HTTP status code example: 400 format: int64 type: integer title: description: >- A short, human-readable summary of the problem type. This value should not change between occurrences of the error. example: Bad Request type: string type: default: about:blank description: A URI reference to human-readable documentation for the error. example: https://example.com/errors/example format: uri type: string type: object mlflow-proxy_Point: additionalProperties: false properties: count: description: >- Number of traces backing this categorical value. In count mode it equals 'value'; in metric-aggregation mode it lets the frontend build weighted "Other" rollups. format: int64 type: integer label: description: Categorical value this bar represents. type: string value: description: >- Bar value: the trace count (count mode) or the aggregated metric value. format: double type: number required: - value - label - count type: object mlflow-proxy_ErrorDetail: additionalProperties: false properties: location: description: >- Where the error occurred, e.g. 'body.items[3].tags' or 'path.thing-id' type: string message: description: Error message text type: string value: description: The value at the given location type: object ```` ## Related topics - [Get labels for metric and label evaluations](/api-reference/ai-systems/get-labels-for-metric-and-label-evaluations.md) - [Get metrics timeseries](/api-reference/ai-systems/get-metrics-timeseries.md) - [Clinical Data Explorer](/cloud/platform-capabilities/features/extensions/data-visualization.md) - [Getting started with Domino: Build a transaction review App](/cloud/platform-overview/getting-started-with-domino/index.md)