> ## Documentation Index > Fetch the complete documentation index at: https://docs.neuracall.com/llms.txt > Use this file to discover all available pages before exploring further. # Listar Modelos > Returns a list of all analysis models configured for your account. Analysis models define the criteria and scoring parameters used to evaluate call recordings. Each model contains categories, variables, and weights that determine how conversations are scored. ## OpenAPI ````yaml GET /v1/models openapi: 3.0.2 info: title: Neuracall API description: >- ## Overview The Neuracall API provides powerful call analysis capabilities for contact centers and customer service teams. Submit audio recordings and receive detailed analysis including: - **Transcription**: Accurate speech-to-text conversion - **Quality Scoring**: Automated evaluation against customizable criteria - **Insights & Keywords**: AI-extracted conversation highlights - **Statistics**: Aggregated performance metrics ## Authentication All API endpoints (except `/v1/auth`) require a Bearer token. Obtain your token using the Authentication endpoint with your client credentials. ``` Authorization: Bearer ``` ## Support For questions or issues, contact support@neuracall.com contact: name: Neuracall Support url: https://neuracall.com/support email: support@neuracall.com license: name: Proprietary url: https://neuracall.com/license version: 1.0.0 servers: [] security: [] tags: - name: Authentication description: >- Obtain access tokens to authenticate your application. Required before making other API calls. - name: Analysis Models description: >- Manage analysis models that define evaluation criteria and scoring parameters for call analysis. - name: Model Categories description: >- Manage categories within analysis models. Categories group related evaluation variables and help organize the scoring structure. - name: Model Variables description: >- Manage evaluation variables within analysis models. Variables define specific scoring criteria used during call analysis. - name: Model Metadata description: >- Manage metadata fields within analysis models. Metadata defines additional information required when submitting calls for analysis (e.g., campaign, department). - name: Call Analysis description: >- Submit audio recordings for analysis and retrieve results including transcriptions, scores, and insights. - name: Statistics description: >- Retrieve aggregated statistics and performance metrics from analyzed calls for dashboards and reporting. paths: /v1/models: get: tags: - Analysis Models summary: Retrieve all analysis models description: >- Returns a list of all analysis models configured for your account. Analysis models define the criteria and scoring parameters used to evaluate call recordings. Each model contains categories, variables, and weights that determine how conversations are scored. operationId: List_Analysis_Models_v1_models_get parameters: - description: Sort results alphabetically by model name required: false schema: title: Order By Name type: boolean description: Sort results alphabetically by model name default: false name: order_by_name in: query responses: '200': description: Successful Response content: application/json: schema: title: Response List Analysis Models V1 Models Get type: array items: $ref: '#/components/schemas/ClientPromptResponse' '401': description: Unauthorized - Invalid or missing token content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' security: - HTTPBearer: [] components: schemas: ClientPromptResponse: title: ClientPromptResponse required: - id - client_id - name - description - prompt - summarize_call - neurascore_template - enabled - created_at - created_by type: object properties: id: title: Id type: integer description: Unique identifier for this model example: 1 client_id: title: Client Id type: string description: Owner client identifier example: client_abc123 name: title: Name type: string description: Model name example: Customer Service Evaluation v2 description: title: Description type: string description: Detailed description of the model example: Comprehensive evaluation model for customer service calls prompt: title: Prompt type: string description: Analysis configuration and evaluation criteria template_metadata: title: Template Metadata type: array items: $ref: '#/components/schemas/ClientTemplateMetadata' description: Configured metadata fields for additional data extraction default: [] transcription_prompt: title: Transcription Prompt type: string description: Custom prompt for audio transcription default: '' example: Customer service call for telecom company. summarize_call: title: Summarize Call type: boolean description: Whether automatic summary generation is enabled example: true summarize_prompt: title: Summarize Prompt type: string description: Custom prompt for summary generation default: '' example: Summarize the key points of this call. neurascore_template: title: Neurascore Template type: boolean description: Whether this model uses the NeuraScore scoring system example: false enabled: title: Enabled type: boolean description: Whether this model is active and available for use example: true created_at: title: Created At type: string description: Timestamp when model was created (UTC) format: date-time created_by: title: Created By type: string description: Creator identifier updated_at: title: Updated At type: string description: Timestamp of last update (UTC) format: date-time updated_by: title: Updated By type: string description: Last updater identifier description: Analysis model details and configuration ErrorResponse: title: ErrorResponse required: - code - message type: object properties: code: title: Code type: string description: Error code for programmatic handling example: 001-001-0001 path: title: Path type: string description: Field path for validation errors example: body.external_id message: title: Message type: string description: Human-readable error message example: The requested resource was not found description: Standard error response format for API errors example: code: 001-001-0001 message: The requested resource was not found HTTPValidationError: title: HTTPValidationError type: object properties: detail: title: Detail type: array items: $ref: '#/components/schemas/ValidationError' ClientTemplateMetadata: title: ClientTemplateMetadata required: - id - key - type type: object properties: id: title: Id type: integer description: Unique identifier example: 1 key: title: Key type: string description: Metadata field key example: department readable_name: title: Readable Name type: string description: Display name for the field example: Department type: allOf: - $ref: '#/components/schemas/MetadataType' description: Data type of the metadata field description: Metadata field configuration for an analysis model ValidationError: title: ValidationError required: - loc - msg - type type: object properties: loc: title: Location type: array items: anyOf: - type: string - type: integer msg: title: Message type: string type: title: Error Type type: string MetadataType: title: MetadataType enum: - STRING - INTEGER - DECIMAL - BOOLEAN - DATE - TIME - DATETIME description: An enumeration. securitySchemes: HTTPBearer: type: http scheme: bearer ````