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Internal Support — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Internal Support — Numeric Interval Filter + 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 2026-10-25).
Filters internal support records (responded_requests, received_requests) by a numeric interval and computes a secondary-measure weighted mean, returning up to 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Internal support — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean for supplied internal support records (responded_requests, received_requests). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns up to 2 analytical reports: (1) rows from the supplied dataset whose selected field (responded_requests or received_requests) falls within the specified [minimum, maximum] interval, and (2) a weighted mean of the primary field using the secondary measure as weights — all computed locally on the supplied data, no external lookup.
Example use cases
Support team response rate analysis
“I have daily support records for two teams from last quarter — filter the rows where received_requests falls between 5 and 50, compute a weighted mean using responded_requests as the weight, and return both reports. Here are the rows: group-alpha on 2025-01-10 had 12 received and 8 responded, group-beta on 2025-01-11 had 45 received and 30 responded, group-alpha on 2025-01-12 had 3 received and 2 responded.”
Outlier exclusion for support volume review
“For my internal support dataset of 20 rows, I want to exclude extreme outliers by filtering responded_requests between 10 and 500, then get a secondary-measure weighted mean using received_requests. Can you run both analytical reports on the filtered data?”
Team group weighted performance benchmarking
“I want to benchmark two support team groups by filtering their daily responded_requests records between 0 and 100, then computing a weighted mean with received_requests as the secondary measure — please run the two supplied-data reports on my 15 rows of team data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-22-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously apply a numeric range filter and compute a weighted mean on internal support ticket data (responded_requests, received_requests) for up to 200 rows, and you want both analyses bundled in a single low-cost ($0.01 USDC) call with no external dependencies or live data lookups.
Side effects
- Missing required row fields (row_id, date, team_group, responded_requests, received_requests) causes validation error
- Date field not matching YYYY-MM-DD pattern returns schema validation failure
- More than 200 rows submitted exceeds maxItems limit
- Minimum greater than maximum produces empty filter result
- Null values in numeric fields may affect weighted mean computation
- Invalid field enum value (not responded_requests or received_requests) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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