> ## Documentation Index > Fetch the complete documentation index at: https://docs.mavera.io/llms.txt > Use this file to discover all available pages before exploring further. # Get video analysis > Retrieve a video analysis by ID. Returns full results when status is `completed`, including all metrics and chunk-level data. ## OpenAPI ````yaml /openapi.json get /video-analyses/{id} openapi: 3.0.3 info: title: Mavera API version: 1.0.0 description: >- # Getting Started The Mavera Responses API provides persona-powered AI responses using the **OpenAI Responses API format**. Use `client.responses.create()` with the OpenAI SDK — just set the base URL to `https://app.mavera.io/api/v1`. ## Authentication All API requests require a Bearer token. Create an API key in **Settings > Developer > API Keys**. ``` Authorization: Bearer mvra_live_your_key_here ``` ## Quick Start ### Step 1: Get a Persona ID Every response request requires a `persona_id`. First, list available personas: ```bash curl https://app.mavera.io/api/v1/personas \ -H "Authorization: Bearer mvra_live_your_key_here" ``` This returns personas you can use. Copy the `id` field from any persona. ### Step 2: Create a Response Use the persona ID in your request: ```bash curl https://app.mavera.io/api/v1/responses \ -H "Authorization: Bearer mvra_live_your_key_here" \ -H "Content-Type: application/json" \ -d '{ "model": "mavera-1", "persona_id": "YOUR_PERSONA_ID", "input": "Hello!" }' ``` ## Rate Limits Per-key sliding window limits based on your subscription tier: | Tier | Requests / min | |------|---------------| | Starter | 60 | | Basic | 120 | | Professional | 240 | | Enterprise | 600 | When rate limited, the response includes a `Retry-After` header indicating how many seconds to wait. ## Credits Each API call consumes credits from your subscription. The `usage.credits_used` field in the response shows the cost of each request. contact: name: Mavera Support url: https://mavera.io x-logo: url: /Mavera_Logo_Full.png altText: Mavera servers: - url: https://app.mavera.io/api/v1 description: Production - url: https://dev.mavera.io/api/v1 description: Development security: - BearerAuth: [] tags: - name: System description: Health checks and operational status. - name: Responses description: >- Generate persona-powered AI responses using the OpenAI Responses API format. Use `client.responses.create()` with the OpenAI SDK. - name: Models description: Discover available models and their capabilities. - name: Personas description: >- Browse available personas to inject specialized intelligence into responses via `persona_id`. - name: Custom Personas description: >- Create, manage, and customize AI-powered personas. Supports three creation pipelines: North Star (AI-generated from minimal input), Intermediate (guided 3-step process), and Advanced (full B2B/B2C customization with psychographics and purpose packs). 300 credits per persona. - name: Brand Voice description: >- Create, manage, and retrieve brand voice profiles for AI-powered content generation. Upload URLs and documents to analyze, and the AI will generate tone guidelines, vocabulary preferences, and writing style recommendations. - name: Generations description: >- Generate AI-powered content using pre-built templates with optional brand voice styling. Browse available generation apps, create content, and manage your generation history. Supports streaming responses. - name: Mave description: >- Mave is Mavera's AI-powered research and analysis agent. Send messages to conduct comprehensive investigations using multiple data sources, personas, and fact-checking. Mave uses a multi-phase orchestration process (Triage, Planning, Research, Execution, Validation) to deliver well-researched responses with sources. - name: Workspaces description: >- Manage workspaces for organizing your work. Workspaces contain projects, threads, personas, and other resources. Invite team members with role-based access control. Set budget alerts and usage limits. - name: Projects description: >- Organize work within workspaces using projects. Projects contain threads, generations, and other resources. Track usage and set per-project budget controls. - name: Meetings description: >- Access meeting recordings, transcripts, and AI-powered analysis. List meetings, retrieve transcripts in multiple formats (segments, text, SRT), get AI analysis with summaries, tasks, decisions, highlights, and coaching metrics. Run custom schemas to extract structured data from transcripts. - name: Schemas description: >- Create and manage meeting schemas for structured data extraction. Schemas define fields to extract from meeting transcripts, with support for various field types (text, enum, list, boolean, etc.), evidence tracking, and scoring. - name: Files description: >- Upload, manage, and retrieve files/assets. Use presigned URLs for direct uploads to avoid passing files through the API. Supports images, videos, documents, and more. File uploads count against your storage quota. - name: Folders description: >- Create and manage folders to organize your files. Folders can be favorited and shared with workspace members. - name: Video Analysis description: >- AI-powered video and advertisement analysis. Submit videos for comprehensive emotional, cognitive, behavioral, and technical analysis. Chat with AI about the results. - name: Focus Groups description: >- AI-powered synthetic focus group research. Create focus groups with personas to gather market research, product feedback, and audience insights. Supports 12 question types including NPS, Likert scales, and open-ended responses. - name: News description: >- AI-powered news intelligence. Browse trending stories, get AI analysis from persona perspectives, and manage scheduled news digests. Story analysis uses credits based on token usage. - name: Usage description: >- Monitor your subscription usage including credits, transcription minutes, storage, and API request metrics. Get real-time statistics on your billing period usage. paths: /video-analyses/{id}: get: tags: - Video Analysis summary: Get video analysis description: >- Retrieve a video analysis by ID. Returns full results when status is `completed`, including all metrics and chunk-level data. operationId: getVideoAnalysis parameters: - name: id in: path required: true description: The video analysis ID. schema: type: string responses: '200': description: Video analysis details. content: application/json: schema: $ref: '#/components/schemas/VideoAnalysisDetailResponse' '401': description: Authentication error. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '404': description: Video analysis not found. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' components: schemas: VideoAnalysisDetailResponse: type: object properties: id: type: string object: type: string enum: - video_analysis status: type: string enum: - pending - generating - completed - failed created_at: type: integer updated_at: type: integer video_url: type: string title: type: string brand: type: string product: type: string primary_intent: type: string secondary_intent: type: string nullable: true tertiary_intent: type: string nullable: true goal: type: string chunk_duration: type: integer frames_per_chunk: type: integer error: type: string nullable: true description: Error message if status is 'failed'. progress: type: object description: Progress info when status is 'generating'. properties: total_chunks: type: integer processed_chunks: type: integer results: type: object description: Full analysis results when status is 'completed'. properties: total_chunks: type: integer description: Total chunks analyzed. completed_at: type: integer description: Unix timestamp when analysis completed. metrics: type: object description: Complete performance metrics. properties: emotional: type: object description: >- Emotional impact metrics (intensity, valence, tone, arousal, trust). cognitive: type: object description: >- Cognitive metrics (clarity, comprehension, recall, brand attribution). behavioral: type: object description: >- Behavioral metrics (intent to act, purchase influence, shareability). technical: type: object description: >- Technical quality metrics (audio/visual quality, mobile optimization). platform: type: object description: >- Platform-specific metrics (hook effectiveness, viral potential). risk: type: object description: >- Risk assessment (cringe factor, controversy risk, brand safety). ad_effectiveness: type: object description: Overall ad effectiveness score and explanation. properties: score: type: number description: Score from 0-10. explanation: type: string web_insights: type: array description: Related news and market context. items: type: object properties: title: type: string url: type: string snippet: type: string impact_score: type: number aggregated_transcript: type: string description: Combined transcript and visual descriptions from all chunks. chunks: type: array description: Per-chunk analysis data. items: type: object properties: index: type: integer description: Chunk index (0-based). start_time: type: number description: Start time in seconds. transcript: type: string description: Audio transcript for this chunk. image_description: type: string description: Visual content description. metrics: type: object description: Chunk-level emotional, cognitive, and behavioral metrics. properties: emotional: type: object properties: primary_emotional_tone: type: string emotional_intensity_score: type: integer minimum: 0 maximum: 100 mood_congruence_score: type: integer minimum: 0 maximum: 100 emotional_trust_index: type: integer minimum: 0 maximum: 100 cognitive: type: object properties: message_clarity_score: type: integer minimum: 0 maximum: 100 recall_probability_index: type: integer minimum: 0 maximum: 100 cognitive_load_estimate: type: integer minimum: 0 maximum: 100 brand_attribution_confidence: type: integer minimum: 0 maximum: 100 behavioral: type: object properties: intent_to_act_score: type: integer minimum: 0 maximum: 100 retention_behavior_index: type: integer minimum: 0 maximum: 100 click_through_probability: type: integer minimum: 0 maximum: 100 ErrorResponse: type: object description: >- All error responses follow this format. The `type` field indicates the category of error, and `code` provides a machine-readable error code. properties: error: type: object properties: message: type: string description: A human-readable error message. example: Invalid API key. type: type: string enum: - invalid_request_error - authentication_error - insufficient_credits - not_found - rate_limit_error - api_error description: The category of error. example: authentication_error code: type: string description: A machine-readable error code. example: invalid_api_key param: type: string nullable: true description: The request parameter that caused the error, if applicable. example: null example: error: message: Invalid API key. type: authentication_error code: invalid_api_key param: null securitySchemes: BearerAuth: type: http scheme: bearer description: >- API key prefixed with `mvra_live_`. Create keys at **Settings > Developer > API Keys**. ````