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Service Request Handling — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Service Request Handling — Adjacent Row Changes + 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 2026-11-02).
Computes adjacent row changes and secondary-measure weighted mean for service request handling records (request_count, resolution_minutes) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Service request handling — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied service request handling records (request_count, resolution_minutes). 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 two analytical reports for the supplied service request handling rows: (1) adjacent row changes showing the difference in the selected metric between consecutive rows, and (2) a secondary-measure weighted mean where one metric (e.g. resolution_minutes) is averaged weighted by the other (e.g. request_count). Results are derived entirely from the supplied data with no external lookups.
Example use cases
Daily ticket volume delta tracking
“I have 30 days of helpdesk data with request counts and resolution times by team — can you compute the day-over-day changes in request_count and give me the weighted mean of resolution_minutes weighted by request volume?”
Support team performance comparison
“Run an adjacent row change analysis plus a weighted mean report on my service desk records for teams alpha and beta — field should be request_count, I'll supply about 60 rows of date, team_group, request_count, and resolution_minutes.”
Operations review for resolution efficiency
“I need two analytics reports on my service request handling data: how resolution_minutes changed between consecutive rows, and the weighted average resolution time using request_count as the weight — can you run that on my 150-row dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-05-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular service request handling data (with request_count and resolution_minutes fields) and need both row-over-row delta analysis and a weighted mean computed locally without any external data enrichment, prediction, or live lookup. Ideal for batch analytical reporting on helpdesk or operations datasets up to 200 rows at low cost ($0.01 USDC for both reports).
Side effects
- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, team_group, request_count, resolution_minutes) cause validation errors
- Invalid date format (must be YYYY-MM-DD) results in parsing failure
- Null or missing numeric values may cause weighted mean to return NaN or partial results
- Invalid field enum value (not 'request_count' or 'resolution_minutes') causes parameter rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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