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Third Party Reviews — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Third Party Reviews — Record Quality Audit + String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs three local analytical reports on third-party review data: a record quality audit, string normalisation, and a daily sum time series, for up to 200 rows of vendors_reviewed and outstanding_actions data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Third party reviews — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied third party reviews records (vendors_reviewed, outstanding_actions). 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 produced from the supplied rows: (1) a record quality audit flagging missing values, format errors, and anomalies; (2) a string normalisation report standardising text fields; and (3) a daily sum series aggregating the selected numeric field (vendors_reviewed or outstanding_actions) by date. No external lookups or live data — all analysis is local.
Example use cases
Vendor review data quality check
“I've got a batch of third-party review records with vendors_reviewed and outstanding_actions columns — can you audit them for quality issues, normalise the strings, and give me a daily sum series for the vendors_reviewed field? There are about 150 rows spanning October 2026.”
Daily outstanding actions trend
“Run a daily sum series plus a record quality audit on my outstanding_actions data from our vendor review logs — I have around 80 rows with dates and control groups, and I want the outstanding_actions field summarised by day.”
Multi-group vendor review analytics
“I have third-party review records split across two control groups, group-a and group-b, with vendors_reviewed and outstanding_actions per day. Can you do a quality audit, string normalise the records, and produce a daily sum series on the vendors_reviewed field for all 200 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-24-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and daily sum aggregation — on a small-to-medium dataset of third-party review records (up to 200 rows) in a single low-cost call ($0.01 USDC). It is ideal for offline/local analysis where no live lookup, prediction, or external data enrichment is needed.
Side effects
- Rows array empty or missing — minimum 1 row required
- More than 200 rows supplied — request will be rejected
- Invalid date format (not YYYY-MM-DD) on any row
- Field selector not one of 'vendors_reviewed' or 'outstanding_actions'
- Numeric values outside allowed range (±1,000,000,000,000)
- Missing required fields (row_id, date, vendors_reviewed, outstanding_actions) on any row
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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