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Redirect Observations — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Redirect Observations — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Audits record quality, normalises strings, and computes a weighted mean for secondary measures across up to 200 redirect observation rows (redirect_count, final_status_code).
Price / call$0.01
Success—
StatusUnknown
How this service works
Redirect observations — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied redirect observations records (redirect_count, final_status_code). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit highlighting missing, malformed, or out-of-range values; (2) a string normalisation report for text fields like site_group and date; (3) a weighted mean calculation for the specified secondary measure (redirect_count or final_status_code) across the supplied rows. All computed locally with no external lookups.
Example use cases
Redirect data quality check
“I have a batch of redirect logs with redirect_count and final_status_code for different site groups — can you audit them for record quality issues, normalise any string fields, and compute a weighted mean on redirect_count?”
Site group redirect analysis
“I'm comparing redirect behaviour across 'site-us' and 'site-eu' over the past month. Can you run the three-report analysis — quality audit, string normalisation, and weighted mean for final_status_code — on my 150 rows of redirect data?”
Redirect monitoring data cleanup
“Before I load this redirect observation dataset into our dashboard, run a quality audit and string normalisation on the records, and give me the weighted mean for redirect_count so I can spot anomalies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-14-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need batch data quality auditing, string normalisation, and weighted mean computation on redirect observation records in a single low-cost call. It is best when you have up to 200 rows of redirect monitoring data (redirect_count, final_status_code) and want three structured analytical reports without any live lookups or external dependencies.
Side effects
- Fewer than 1 row or more than 200 rows submitted returns a validation error
- Missing required fields (row_id, site_group, date, redirect_count, final_status_code) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation failure
- Field enum value not 'redirect_count' or 'final_status_code' causes an invalid field error
- Numeric values outside the allowed range cause processing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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