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Redirect Observations Data Quality & Distribution Analyzer
x402
Redirect Observations Data Quality & Distribution Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs three analytical reports — record quality audit, string normalization, and numeric distribution — on redirect observation records containing redirect_count and final_status_code fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Redirect observations — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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
Returns three independent analytical reports: (1) a record quality audit flagging completeness, null values, and data integrity issues; (2) a string normalization report on text fields such as site_group; and (3) a numeric distribution summary of the selected numeric field (redirect_count or final_status_code), including statistical distribution metrics — all computed locally without any external lookups.
Example use cases
Audit redirect data before reporting
“I have a batch of 150 redirect observation records with redirect_count and final_status_code for several site groups from last month — can you run a quality audit on them to catch any missing values or format issues before I include them in my report?”
Analyze distribution of HTTP status codes
“Can you give me a numeric distribution summary of the final_status_code values across these redirect observation rows I'm uploading? I want to see how the codes are spread across our site groups.”
Normalize site group strings in redirect dataset
“I've got a redirect observation dataset with redirect_count and final_status_code fields but I suspect the site_group strings are inconsistent — can you run the string normalization report on up to 200 of these rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-14-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, low-cost ($0.01) local analytical pass over redirect observation data — specifically when you want all three of quality audit, string normalization, and numeric distribution together in one call, without any external data lookup or live enrichment. Best for offline data profiling of web redirect datasets with up to 200 rows.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, date, redirect_count, final_status_code) causes validation error
- Date values not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside the allowed range trigger schema errors
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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