Use Cases

Once your AI agent has the skill, you can use natural language to interact with TubeLab's API.

Example prompts

• "Find cooking channels with 10k-100k subscribers that are monetized"
• "Search for viral minecraft videos from the last month"
• "Get the transcript of this video: https://www.youtube.com/watch?v=RF6zNBAJN0I&t=109s"
• "Start a scan for the fitness niche and show me the results"
• "Find channels similar to https://www.youtube.com/@TubeLabHQ"

Niche research

Ask your agent to find profitable niches by combining filters like subscriber count, average views, revenue estimates, and content kind.

Find monetized channels in the cooking niche with at least 10k subscribers
and average views above 5000, sorted by revenue.

Competitor analysis

Find channels similar to a competitor and compare their performance.

Find channels similar to @TubeLabHQ and show me their subscriber count
and average views to subscribers ratio.

Outlier discovery

Find viral videos that significantly outperformed their channel's average. Videos with an averageViewsRatio above 1 outperformed the channel's average - above 5 is very rare and indicates extreme virality.

Find faceless & monetized viral videos from the last month. Show me the title, views and outlier score.

Transcript extraction

Get the full transcript of any YouTube video for content analysis, summarization, or repurposing.

Get the transcript of this video and summarize the main points:
https://www.youtube.com/watch?v=RF6zNBAJN0I

Automated scanning

Start a scan to discover new channels and outlier videos in any niche. Scans run in the background - the agent can poll for status and fetch results once complete.

Start a scan for the "personal finance" niche in fast mode,
then show me the top 10 outlier videos when it's done.