Calibrate video screening against feedback (Beta)
Changed on(Beta) Re-judges every creator marked good or bad fit with the automation's current video rules, then tries each hard filter at thresholds 0.1-1.0 with the other rules unchanged. summary.bad_fit.passes is how many bad fits the rules still approve; summary.good_fit.blocked is how many good fits they would stop. Each filter's suggested_min_share is a threshold that lets fewer bad fits through without losing a good fit (none until 3 good fits can be judged). Judged on each creator's latest analysed videos today, not those at decision time; creators at or above screen_below_gmv_30d are approved on numbers and not covered by video rules. Covers the newest 2,000 verdicts. Read-only: apply a change with automation_update.
Request
- Base URLhttps://api.reacherapp.com/public/v1
- URLhttps://api.reacherapp.com/public/v1/samples/screening-feedback/calibration
- AuthAPI key in header x-api-key and API key in header x-shop-id
Query parameters
The sample-request automation to calibrate.
Response
Successful Response
Changes
- info
added the optional property
/////to the response with the status
- info
- info
endpoint added
- info