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Give your agent a niche, country, and budget. It uses Monid to discover recent posts, calculate creator-relative baselines, and return outlier videos worth studying.
Example question: Which videos are outperforming for small specialty-coffee creators this month?

Try it yourself (give it to your agent)

Prompt

Potential tools

  • TikTok: Apify’s /apidojo/tiktok-scraper supports keyword/profile collection.
  • TikHub: /api/v1/tiktok/web/fetch_user_post can retrieve creator history when the correct account identifier is available.
The agent calculates creator-relative baselines and outliers.

Example output

Names, counts, and details below are fictional. Real responses include actual sources, costs, and generated files.
The strongest outlier was a side-by-side grinder demonstration.
  • Views: 84,000
  • Creator’s recent median: 7,000
  • Outlier ratio: 12× baseline across 20 sampled posts
A second standout was a “fix this sour espresso” video. Its opening shows the failed result before explaining the adjustment, giving viewers a clear reason to continue. Suggested experiment: Test a visible before/after result in the first few seconds. That is a hypothesis based on these examples, not proof that the opening caused their performance. All five selections include links and baseline calculations. I could not assess growth velocity because no earlier snapshots were available.