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Internal Support Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Internal Support 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 2026-10-23).
Runs three offline analytical reports on internal support records (responded_requests, received_requests): a record quality audit, string normalisation, and a secondary-measure weighted mean — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Internal support — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied internal support records (responded_requests, received_requests). 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 returned in a single response: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report for team_group and other string fields; (3) a weighted mean computation for the selected secondary measure (responded_requests or received_requests). All reports are computed locally from the supplied data with no external lookups.
Example use cases
Weekly support data quality check
“I've got 120 rows of this week's internal support records with row_id, team_group, date, responded_requests, and received_requests — can you audit the data quality, normalise the team_group strings, and compute a weighted mean on responded_requests for me?”
Team group name inconsistency cleanup
“My support dataset has messy team group labels across 80 rows. Can you run string normalisation plus a quality audit on these records and also give me the weighted mean for received_requests?”
Pre-analysis validation for support metrics
“Before I hand this off to the analytics team, can you check these 200 support rows for quality issues, normalise any string fields, and calculate the secondary-measure weighted mean using responded_requests as the target field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-22-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled offline analytical reports — quality audit, string normalisation, and weighted mean — on internal support records in a single low-cost call ($0.01 USDC for up to 200 rows). It is ideal when you want to validate and clean support request data before downstream analysis without making any external API calls or live lookups. Prefer it over separate audit or normalisation tools when all three reports are needed together and your dataset fits within 200 rows.
Side effects
- More than 200 rows submitted — endpoint rejects input exceeding maxItems limit
- Missing required row fields (row_id, team_group, date, responded_requests, received_requests) — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema pattern mismatch error
- Invalid field enum value (not responded_requests or received_requests) — rejected with enum error
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure
- Empty rows array (minItems: 1 not met) — error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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