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Resource Bookings Data Quality & Analytics Bundle
x402
Resource Bookings Data Quality & Analytics Bundle 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 analytical reports on resource booking records: record quality audit, string normalisation, and secondary-measure weighted mean — all computed locally on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Resource bookings — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied resource bookings records (booked_hours, available_hours). 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 separate analytical reports in a single response: (1) a record quality audit flagging missing values, format violations, and anomalies; (2) string-normalised versions of text fields like team_group; and (3) a secondary-measure weighted mean of the selected numeric field (booked_hours or available_hours) weighted by the other measure — all computed on the supplied rows without any external lookups.
Example use cases
Scheduling data quality check
“I have a batch of 150 resource booking records with team groups, dates, booked_hours and available_hours — can you audit them for quality issues, normalize the team group strings, and give me a weighted mean of booked_hours weighted by available_hours?”
Operations team utilisation analysis
“Run a weighted mean on our booked_hours field across these 80 booking rows, also flag any record quality problems and normalise the team_group strings — the data has row_id, date, team_group, booked_hours, and available_hours columns.”
Pre-reporting data clean-up
“Before I send this booking dataset to the dashboard, can you audit the record quality, normalise team group names, and compute a secondary-measure weighted mean on available_hours? I have about 60 rows with the standard fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-09-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three lightweight analytical operations — data quality auditing, string normalization, and weighted mean computation — on resource booking records in a single low-cost call. It is ideal for pre-processing scheduling or workforce data before reporting, when you want to validate data integrity and compute a utilisation-style weighted average without spinning up a full analytics platform. At $0.01 USDC for all three reports on up to 200 rows, it is economical for batch data hygiene workflows on booking datasets.
Side effects
- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, date, booked_hours, available_hours) — validation error returned
- Invalid date format (non-YYYY-MM-DD) — pattern validation failure
- Field enum value not in ['booked_hours','available_hours'] — schema rejection
- Empty rows array — minItems violation
- Numeric values outside allowed range — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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