Agent context
Tiktok Organic models
2 SQL models that turn the raw Tiktok Organic tables into the reports people ask about. Deploy them in Weld and your agent queries the definitions behind every number.
How the set is built
- 3Raw tables
- 3Staging
- 2Core
- 2Analytics
Staging cleans each raw table once, core holds the logic, and analytics is the table dashboards and agents read.
- Profile performance dailyThe TikTok Analytics Overview per account per day: followers, net follower change, profile views, video views, likes, comments, shares and engagement rate.grain: date_day x business_id · 2 raw tables
- Video performanceThe TikTok Analytics Content tab: every video with its lifetime views, reach, likes, comments, shares, watch time, completion rate and engagement rate.grain: one row per video · 2 raw tables
- Weld or dbt
- The same SQL in both dialects. Sync the folder with GitHub Sync, or copy the dbt models into your project.
- Check before you rely on it
- Reconcile a month against Tiktok Organic's own reports first. Each model's notes say what the synced data can and can't support.
Connect Tiktok Organic.
Your agents start with context.
Sync Tiktok Organic to your warehouse, deploy these models, and query them from Claude, Cursor or ChatGPT over MCP. Free for 14 days, no credit card.