> ## Documentation Index > Fetch the complete documentation index at: https://docs.fribl.co/llms.txt > Use this file to discover all available pages before exploring further. # Analyze job from text > Submit one or more job description texts for AI-powered analysis. The API will extract structured information including job details, experience and education preferences, requirements, and skills. Processing is asynchronous — use the returned IDs with the status endpoint to track progress. Billable — charges the `job_processing` action once per job in `inputs`; failed tasks are refunded. See `GET /tokens/costs` for live pricing. ## OpenAPI ````yaml /api-reference/openapi.json post /jobs/analyze openapi: 3.1.0 info: title: Fribl API description: >- The Fribl API enables intelligent talent matching powered by AI. Analyze CVs and job descriptions from text or file uploads, search and manage skills, match candidates to positions with configurable scoring weights, and source candidate profiles from external databases. All document processing is asynchronous — submit documents for analysis, poll for status, and retrieve structured results when ready. version: 1.0.0 contact: name: Fribl Support url: https://fribl.co servers: - url: https://api-service.fribl.co/api/v1 description: Production security: - apiKey: [] tags: - name: CVs description: >- Upload, analyze, retrieve, update, and delete candidate CVs. CVs can be submitted as raw text or as PDF file uploads. Processing is asynchronous — use the status endpoint to track progress. - name: Jobs description: >- Upload, analyze, retrieve, update, and delete job descriptions. Jobs can be submitted as raw text or as PDF file uploads. Processing is asynchronous — use the status endpoint to track progress. - name: Matching description: >- Match analyzed CVs against job descriptions using AI-powered scoring. Configure weights across experience, hard skills, soft skills, and education dimensions to tailor match results to your hiring priorities. - name: Sourcing description: >- Search for candidate profiles from external sources, retrieve cached search results, and ingest selected profiles into your Fribl workspace for matching. - name: Skills description: >- Search the Fribl skills taxonomy and retrieve available languages for skill translation. These endpoints are publicly accessible and do not require authentication. - name: Tokens description: >- Inspect your workspace's usage-based token balance, review the ledger of every charge and refund, and read the live per-action price list. Billable endpoints deduct tokens and return 402 when the balance is insufficient. Tokens are purchased and managed in the Fribl Console (https://console.fribl.co). paths: /jobs/analyze: post: tags: - Jobs summary: Analyze job from text description: >- Submit one or more job description texts for AI-powered analysis. The API will extract structured information including job details, experience and education preferences, requirements, and skills. Processing is asynchronous — use the returned IDs with the status endpoint to track progress. Billable — charges the `job_processing` action once per job in `inputs`; failed tasks are refunded. See `GET /tokens/costs` for live pricing. operationId: analyzeJobText requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/AnalyzeTextBody' responses: '200': description: Analysis request accepted. Use the returned IDs to poll for status. content: application/json: schema: type: object properties: message: type: string example: Analyze Jobs request received! data: type: object properties: ids: type: array items: type: string format: uuid description: >- Unique identifiers assigned to each submitted job description. status: type: string enum: - PENDING description: Initial processing status. required: - ids - status required: - message - data '400': $ref: '#/components/responses/BadRequest' '401': $ref: '#/components/responses/Unauthorized' '402': $ref: '#/components/responses/PaymentRequired' components: schemas: AnalyzeTextBody: type: object description: Request body for submitting text content for analysis. properties: inputs: type: array items: type: string description: >- Array of text strings to analyze. Each string represents a complete document. cache: type: boolean description: Whether to cache the analysis results. stream: type: boolean description: Whether to stream the analysis progress. block: type: boolean description: Whether to block until analysis is complete before returning. required: - inputs ErrorResponse: type: object description: Standard error response. properties: error: type: string description: Human-readable error message. required: - error InsufficientTokensError: type: object description: >- Returned with HTTP 402 when the workspace balance can't cover a billable request. No work is performed and nothing is charged. properties: code: type: string enum: - INSUFFICIENT_TOKENS description: Machine-readable error code. Switch on this rather than the message. example: INSUFFICIENT_TOKENS message: type: string example: 'Insufficient tokens: have 3, need 10' balance: type: integer description: Current workspace balance. example: 3 required: type: integer description: Tokens required for this request (worst case for sourcing searches). example: 10 required: - code - message - balance - required responses: BadRequest: description: The request was malformed or contained invalid parameters. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' Unauthorized: description: >- Authentication failed. Provide a valid API key in the `x-api-key` header. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' PaymentRequired: description: >- The workspace has insufficient tokens for the requested operation. Nothing was charged. content: application/json: schema: $ref: '#/components/schemas/InsufficientTokensError' securitySchemes: apiKey: type: apiKey in: header name: x-api-key description: >- API key in UUID format. Include this header with every authenticated request. ````