> ## Documentation Index > Fetch the complete documentation index at: https://lightsage.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # List Targets > Returns the answer engines and coding agents that run the organization's prompts on schedule, with each target's topic and frequency. Provide `topic_id` to list one topic's targets. ## OpenAPI ````yaml /openapi.json get /v2/prompts/targets openapi: 3.1.0 info: title: Lightsage Public API description: Public API for Lightsage CLI and external integrations. version: 1.0.0 servers: - url: https://api.lightsage.com description: Production security: [] tags: - name: Status description: Check API availability and validate the calling API key. - name: Visibility description: >- Measure visibility, citations, competitors, and prompt performance across answer platforms. - name: Prompts description: Manage tracked prompts and topics, and inspect their stored runs. - name: Opportunities description: Review ranked opportunities computed from prompt visibility results. - name: Tasks description: Manage the persisted action queue and task lifecycle. - name: Site Audits description: Review website audit results and page-level findings. - name: Agent Analytics description: >- See which coding agents, AI bots, and people visit your tracked sites, which pages they read, which pages return errors, and where the visits come from. - name: Evals description: Define eval tasks, judges, subjects, and saved configurations. - name: Eval Templates description: >- Select reusable judges, targets, schedules, metadata, and runtime settings with `POST /v2/eval-templates`, then copy only those settings into prompt-specific evals with `POST /v2/evals/batch`. Templates never contain prompts and remain independent from evals created from them. - name: Eval Runs description: Start eval runs and inspect their lifecycle state. - name: Eval Results description: Review completed eval outcomes and diagnostic details. - name: Agent Preference description: >- Compare your company head-to-head with a tracked competitor. Create a comparison with `POST /v2/agent-preference/evals`, run it with `POST /v2/eval-runs`, then read which company agents recommended. - name: Agents description: List runnable coding-agent harness and model combinations. - name: Repositories description: Manage reusable Git repository workspaces. - name: Environments description: List reusable runtime environments without exposing secret values. - name: MCP Servers description: List reusable MCP server integrations without exposing credentials. - name: CLIs description: List reusable command-line interfaces without exposing setup commands. - name: Skills description: List reusable skills available to workflows and evals. paths: /v2/prompts/targets: get: tags: - Prompts summary: List Targets description: >- Returns the answer engines and coding agents that run the organization's prompts on schedule, with each target's topic and frequency. Provide `topic_id` to list one topic's targets. operationId: v2_prompt_targets_list parameters: - name: topic_id in: query required: false schema: type: string title: Topic Id description: Optional prompt topic ID. responses: '200': description: Successful Response content: application/json: schema: $ref: '#/components/schemas/V2PromptTargetsResponse' '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' security: - LightsageApiKeyAuth: [] components: schemas: V2PromptTargetsResponse: properties: data: items: $ref: '#/components/schemas/V2PromptTarget' type: array title: Data count: type: integer title: Count type: object required: - count title: V2PromptTargetsResponse HTTPValidationError: properties: detail: items: $ref: '#/components/schemas/ValidationError' type: array title: Detail type: object title: HTTPValidationError V2PromptTarget: properties: id: type: string title: Id topic: anyOf: - $ref: '#/components/schemas/V2PromptRunTopic' - type: 'null' description: Topic the target runs for. Null means it runs for every topic. kind: type: string enum: - answer_engine - coding_agent title: Kind answer_engine: anyOf: - type: string - type: 'null' title: Answer Engine description: Answer engine identifier for answer-engine targets. agent: anyOf: - type: string - type: 'null' title: Agent description: Agent ID from `GET /v2/agents` for coding-agent targets. name: type: string title: Name description: Human-readable answer engine or agent name. frequency: type: string enum: - daily - every_other_day - weekly - manual title: Frequency description: >- How often this target runs on schedule. `manual` keeps it for runs you start yourself. Frequencies other than `daily` require custom prompt scheduling on the organization. next_run_at: anyOf: - type: string - type: 'null' title: Next Run At last_run_at: anyOf: - type: string - type: 'null' title: Last Run At type: object required: - id - kind - name - frequency title: V2PromptTarget ValidationError: properties: loc: items: anyOf: - type: string - type: integer type: array title: Location msg: type: string title: Message type: type: string title: Error Type input: title: Input ctx: type: object title: Context type: object required: - loc - msg - type title: ValidationError V2PromptRunTopic: properties: id: type: string title: Id name: type: string title: Name type: object required: - id - name title: V2PromptRunTopic securitySchemes: LightsageApiKeyAuth: type: apiKey in: header name: X-Lightsage-Api-Key ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.