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Reveal Product Feedback

Interact with Reveal feedback infrastructure to manage products, create review tasks, read AI-analyzed user feedback, get sentiment insights, view submission...
通过 Reveal 反馈平台管理产品、创建审核任务、读取 AI 分析的用户反馈、获取情感洞察、查看提交内容
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数据分析 clawhub v1.0.2 2 版本 99911 Key: 需要
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概述

Reveal Feedback Infrastructure

Reveal is a universal feedback platform where human reviewers screen-record themselves using products and provide AI-analyzed feedback. This skill connects to the Reveal REST API to manage the full feedback lifecycle — from collecting reviews to generating marketing content from that feedback.

Authentication

All API calls require the REVEAL_API_KEY environment variable. The key is a vendor API key generated from the Reveal dashboard under Settings → API Keys.

Every request uses this header:

Authorization: Bearer $REVEAL_API_KEY

Base URL: https://www.testreveal.ai/api/v1

(Override with REVEAL_BASE_URL env var if set.)

Capabilities

1. Check dashboard overview

Fetch products, active review tasks, and unread notifications to give the user a quick status update.

Steps:

  1. GET /products to list vendor products
  2. GET /review-tasks?status=active to list active tasks
  3. GET /notifications?unread=true&limit=5 to get unread notifications
  4. Summarize: product count, active tasks with submission progress, and recent notifications

2. Get feedback insights for a product

Fetch AI-aggregated insights: top issues, top positives, sentiment distribution, and suggestions.

Steps:

  1. GET /products to find the product ID matching the user's request
  2. GET /insights/{productId} to get aggregated insights
  3. Present: sentiment breakdown, top issues ranked by frequency, top positives, unique issue count

3. Get product analytics

Fetch quantitative metrics for a product.

Steps:

  1. GET /products/{productId}/analytics
  2. Present: total submissions, analyzed count, average completion rate, sentiment distribution, top issues, top positives

4. View review submissions

Get individual review submissions with transcripts, AI analysis, sentiment, and issue counts.

Steps:

  1. GET /review-tasks?status=active&limit=5 to find the relevant task (or use a task ID if provided)
  2. GET /review-tasks/{taskId}/submissions to get all submissions
  3. For each submission, present: status, sentiment, issue count, positive count, transcript preview

5. Create a review task

Create a new user-testing task so reviewers can test a product.

Steps:

  1. GET /products to find the product matching the user's description
  2. Extract from the user's message: title, objective, steps, feedback focus, reviewer count
  3. POST /review-tasks with body:
  4. {
      "title": "extracted title",
      "productId": "matched product ID",
      "requiredReviewers": 5,
      "instructions": {
        "objective": "what the reviewer should accomplish",
        "steps": "step-by-step instructions",
        "feedback": "what feedback to focus on"
      }
    }
    
  5. Confirm creation with task ID and details

6. Update a review task

Close, pause, or modify an existing review task.

Steps:

  1. PATCH /review-tasks/{taskId} with fields to update (status, title, description, requiredReviewers)
  2. Confirm the update

7. List products

Show all products registered on the vendor's Reveal account.

Steps:

  1. GET /products?limit=50
  2. Present each product: name, category, platform support (web/mobile), website

8. Get notifications

Check for new activity on Reveal.

Steps:

  1. GET /notifications?unread=true&limit=20
  2. Present notification messages with timestamps
  3. If user says to mark as read: PATCH /notifications with {"markAllRead": true}

9. Register a webhook

Set up real-time event notifications.

Steps:

  1. POST /webhooks with body:
  2. {
      "url": "https://user-provided-url",
      "events": ["review.submitted", "review.analyzed", "task.completed", "video.generated"]
    }
    
  3. Return the webhook ID and signing secret. Instruct user to store the secret securely.

10. List webhooks

Steps:

  1. GET /webhooks
  2. Present each webhook: URL, subscribed events, active status

11. Summarize feedback into marketing highlights

Turn raw user feedback into polished, persuasive marketing statements.

Steps:

  1. Collect the positive feedback strings (from insights or submissions)
  2. POST /marketing/summarize-highlights with body:
  3. {
      "highlights": ["feedback string 1", "feedback string 2", "..."]
    }
    
  4. Response contains summary — an array of marketing-ready highlight strings

12. Generate a marketing video script

Generate a 30-second video script from product feedback or the product description.

Steps:

  1. GET /products to find the product ID
  2. Optionally GET /insights/{productId} to extract positive highlights
  3. POST /marketing/generate-script with body:
  4. {
      "productId": "the product ID",
      "positiveHighlights": ["highlight 1", "highlight 2"],
      "scriptType": "problem-solution"
    }
    
    • positiveHighlights is optional; if omitted the product description is used
    • scriptType options: problem-solution, empathetic, aspirational, story-driven
  5. Response contains script — a formatted script with [Scene X: Title] headers, Visual and Narration per scene

13. Generate a marketing image

Create a marketing image for a product with AI.

Steps:

  1. GET /products to find the product ID
  2. POST /marketing/generate-image with body:
  3. {
      "productId": "the product ID",
      "prompt": "Modern dashboard showcasing the key analytics features",
      "styleName": "Modern Gradient",
      "tagline": "Insights that drive growth"
    }
    
    • prompt is required — the creative direction for the image
    • styleName and tagline are optional
  4. Response contains imageUrl — a public URL to the generated image

14. Edit and refine a script

Parse a script into structured scenes and apply edits — change narration/visuals, add new scenes, or remove scenes.

Steps:

  1. POST /marketing/edit-script with body:
  2. {
      "script": "the current script text",
      "operations": [
        { "action": "edit", "sceneNumber": 3, "narration": "Updated narration text" },
        { "action": "add", "position": 4, "title": "New CTA", "visual": "Happy customer using phone", "narration": "Try it free today!" },
        { "action": "remove", "sceneNumber": 6 }
      ]
    }
    
    • operations is optional — omit it to just parse the script into structured scenes
    • action: "edit" — update title, visual, or narration of an existing scene (only include fields to change)
    • action: "add" — insert a new scene at position (or append if omitted)
    • action: "remove" — delete a scene by number (scenes renumber automatically)
  3. Response contains both the updated script string and a scenes array with structured scene objects

15. Search stock media for video scenes

Find stock images and videos from the Pictory library to use in specific video scenes.

Steps:

  1. GET /marketing/media-search?keyword=business+meeting&page=1
    • keyword is required — the search term
    • category and page are optional
  2. Response contains results — array of { url, type, thumbnail }
  3. Use the url values in the customMediaUrls field of generate-video to assign media to specific scenes

16. Generate a marketing video (full pipeline)

Create a full marketing video from a script. This is a multi-step async workflow.

Steps:

  1. Generate a script first (capability 12) or have the user provide one
  2. Optionally refine the script (capability 14) — edit scenes, add/remove as needed
  3. Optionally search for stock media (capability 15) to use in specific scenes
  4. POST /marketing/generate-video with body:
  5. {
      "productId": "the product ID",
      "script": "the full script with [Scene X: Title] headers",
      "voiceOver": { "speaker": "Jackson", "speed": 100 },
      "musicVolume": 0.4,
      "customMediaUrls": {
        "1": "https://stock-media-url-for-scene-1",
        "3": "https://stock-media-url-for-scene-3"
      }
    }
    
    • customMediaUrls is optional — map scene numbers to stock media URLs from media-search
    • Scenes without a custom URL will get auto-matched stock media based on the visual description

Response: { "data": { "jobId": "...", "accessToken": "...", "productId": "..." } }

  1. Wait ~30 seconds, then trigger rendering:

PUT /marketing/render-video/{jobId} with body:

{
  "accessToken": "the accessToken from step 4",
  "webhook": "https://optional-callback-url"
}
  1. Poll for completion:

GET /marketing/video-status?jobId={jobId}

Response: { "data": { "status": "in-progress" | "completed" | "failed", "videoUrl": "..." } }

  • Keep polling every 15-30 seconds until status is completed
  • When complete, videoUrl contains the final video URL

Response format

All API responses follow this structure:

  • Success: { "data": { ... } }
  • Error: { "error": { "code": "ERROR_CODE", "message": "description" } }

Guardrails

  • Never expose or log the API key in responses to the user
  • If an API call fails with 401, tell the user their API key may be invalid or expired
  • If a product is not found, suggest listing products first
  • When creating review tasks, always confirm the details with the user before sending the POST
  • Do not fabricate feedback data — only report what the API returns
  • Marketing endpoints require a vendor API key — reviewer keys will get a 403
  • Video generation is async — always poll video-status rather than assuming immediate completion
  • When generating videos, save the accessToken from generate-video — it's needed for render-video

版本历史

共 2 个版本

  • v1.0.2 当前
    2026-03-29 03:38 安全 安全
  • v1.0.1
    2026-03-26 21:27

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