> ## Documentation Index > Fetch the complete documentation index at: https://docs.enneo.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get AI performance metrics for a specific AI agent > Returns performance metrics scoped to a specific AI agent for a selected time window. ## OpenAPI ````yaml https://dev.enneo.dev/api/mind/docs/open-api get /report/aiAgentPerformance/{aiAgentId} openapi: 3.0.0 info: version: '1' title: enneo.MIND API description: This describes the API of enneo Mind, the main ticketing backend contact: name: enneo GmbH email: richard@enneo.ai license: name: Proprietary software url: https://enneo.ai servers: - url: https://demo.enneo.ai/api/mind description: Production server, demo client - url: https://main.enneo.dev/api/mind description: Development main branch - url: http://localhost:8005/api/mind description: Local development server security: - bearerAuth: - api - cookieAuth: - api paths: /report/aiAgentPerformance/{aiAgentId}: get: tags: - Report summary: Get AI performance metrics for a specific AI agent description: > Returns performance metrics scoped to a specific AI agent for a selected time window. operationId: getAiAgentPerformance parameters: - name: aiAgentId in: path required: true description: The AI agent ID schema: type: integer example: 1 - name: lastDays in: query required: false description: Number of days to look back. If omitted, defaults to 7. schema: type: string enum: - '0' - '1' - '3' - '7' - '14' - '30' - '90' - '365' example: '14' responses: '200': description: Successful operation content: application/json: schema: type: object description: Map of metric name to agent-scoped report item additionalProperties: type: object properties: data: description: Metric data (time-series or aggregated values) additionalProperties: true summary: type: object description: Aggregated numbers for the metric additionalProperties: true description: type: string filters: type: object description: >- Filters applied to generate this metric, including aiAgentId and optionally outputHandlingCase additionalProperties: true required: - data example: autoProcessing: description: Number of tickets auto-processed by this AI Agent per day. summary: amount: 12 withApproval: 7 fullyAutonomous: 5 data: '01.01': With Approval: 1 Fully autonomous: 0 '02.01': With Approval: 2 Fully autonomous: 2 filters: aiAgentId: 1 lastDays: '14' outputHandlingCase: confirm automationLevel: description: >- Daily distribution across automation levels L0..L5 for this agent. data: '01.01': L0: 1 L1: 1 L2: 0 L3: 1 L4: 1 L5: 0 '02.01': L0: 0 L1: 2 L2: 1 L3: 0 L4: 2 L5: 1 filters: aiAgentId: 1 lastDays: '14' avgHandlingTimeHuman: data: [] summary: averageDurationInSeconds: 320.5 totalCount: 14 previousAverageDurationInSeconds: 355.2 previousTotalCount: 12 description: >- Average handling time (seconds) for human cases (L2+L3) for this agent. filters: aiAgentId: 1 lastDays: '14' autoProcessingShare: data: [] summary: value: 9 valueTotal: 28 previousValue: 5 previousValueTotal: 30 description: >- Share of auto-processed cases (L4+L5) out of all cases worked by this AI Agent. filters: aiAgentId: 1 lastDays: '14' autoProcessingApprovalRate: data: [] summary: value: 6 valueTotal: 11 previousValue: 4 previousValueTotal: 10 description: >- Rate of auto-processing attempts that were approved for this AI Agent. filters: aiAgentId: 1 lastDays: '14' autoProcessingSuccessRate: data: [] summary: value: 8 valueTotal: 12 previousValue: 6 previousValueTotal: 11 description: >- Rate of auto-processing attempts that were successful for this AI Agent. filters: aiAgentId: 1 lastDays: '14' approvalTimeL4: data: [] summary: averageDurationInSeconds: 210.1 totalCount: 7 previousAverageDurationInSeconds: 240 previousTotalCount: 6 description: >- Average approval time (seconds) for L4 cases for this AI Agent. filters: aiAgentId: 1 lastDays: '14' autoProcessingErrorRate: data: [] summary: value: 2 valueTotal: 20 previousValue: 3 previousValueTotal: 18 description: Share of cases with errors for this AI Agent. filters: aiAgentId: 1 lastDays: '14' outputHandlingCases: description: Available output handling cases for this AI Agent. data: confirm: Adjust input parameters apply: Apply text template filters: aiAgentId: 1 lastDays: '14' customerSatisfaction: data: [] summary: [] description: >- Customer satisfaction results for this AI Agent (placeholder). filters: aiAgentId: 1 lastDays: '14' '400': description: Invalid filter parameters content: application/json: schema: $ref: '#/components/schemas/Error' '403': description: Unauthorized '500': description: Internal error content: application/json: schema: $ref: '#/components/schemas/Error' components: schemas: Error: type: object description: Data format of Enneo error messages properties: error: type: string example: Contract 121 could not be processed description: Readable error message that should be shown to the user details: type: string example: >- Uncatched null point exception in testFunction() in /app/src/file:212 description: Not easily readable error message that is for the developer txId: type: string example: c916167c94 description: >- Internal transaction id. Useful for debugging. Corresponds to the OpenTelemetry trace ID. securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: JWT description: JWT-based authentication x-scopes: api: Full access to the API cookieAuth: type: apiKey in: cookie name: connect.sid description: Cookie-based authentication x-scopes: api: Full access to the API ````