• TRENDS
  • GAPS
  • REPORTS
  • HUMAN

How to audit video performance metrics with your AI

Connect api.video to your AI client to turn raw video data into engagement reports.

Ask AI about this page

Short answer

How can I audit my video performance using AI?

Your AI uses api.video to scan your library and pull play counts and impressions. You'll get a clear view of which videos are actually reaching people. This breakdown shows you how it works.

Audit outcomes.

Where your data lands.

The AI organizes your video metrics into these specific insights.

TRENDS

Identify top performers

The AI compares play counts across your library to highlight your most successful videos.

GAPS

Spot low engagement

It finds videos with high impressions but low plays, which usually means the thumbnail or title isn't working.

REPORTS

Generate summary data

Your agent compiles all the metrics into a single list or table for you to review.

HUMAN

Plan next steps

You decide which content to double down on or retire based on the AI's findings.

The workflow

What your AI does when the data arrives.

The AI handles the heavy lifting of scanning your library and calculating totals.

  1. Scan your library

    The AI identifies every video you have hosted on the platform.

    list_videos

  2. Fetch engagement data

    It pulls the specific view and impression numbers for each video found.

    get_video_analytics

  3. Analyze performance

    The AI compares these numbers to find patterns in your content's reach.

    get_video_analytics

  4. Summarize findings

    Your agent presents the final audit in a format you can actually use.

    list_videos

Try it

Copy these to start.

Use these prompts to trigger the audit immediately.

Starting points

Swap the bracketed text for your specific video names or categories.

api.video Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_AAgxPvJfVVDY5RiNgqzHB92Z5NB9dYEDsZzCrPyW/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — api.video capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "apivideo-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_AAgxPvJfVVDY5RiNgqzHB92Z5NB9dYEDsZzCrPyW/mcp"
    }
  }
}
Copy into chat04

  • List all my videos and tell me which ones have the highest play counts.

  • Find all videos in my 'Product Demo' folder and show me their impression counts.

  • Which videos have high impressions but very low play counts?

  • Give me a summary of the total views across my entire video library.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect api.video once, then ask.

One connection gives your AI access to your video data. Your credentials stay encrypted and secure.

Connect api.video to your AI

FAQ

How this task behaves.

  • 01

    Can the AI delete videos from my library?

    No. The AI can only read video lists and analytics data.

  • 02

    Can the AI upload new videos for me?

    No. This connection is limited to retrieving existing video data and metrics.

  • 03

    Does the AI see my video files?

    No. It only accesses the metadata and analytics provided by the API.

  • 04

    Can I ask for metrics for a specific video?

    Yes. Once the AI has listed your videos, you can ask for details on any specific one.

  • 05

    How does the AI know which videos to check?

    It uses the list tool to see your entire library before pulling individual analytics.

  • More questions about api.video? See everything the api.video Connector can do

Connect api.video to Claude, Cursor, ChatGPT & more