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Ticket Escalations Secondary-Measure Weighted Mean
x402
Ticket Escalations 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 2026-10-15).
Computes a secondary-measure weighted mean for up to 200 ticket escalation records, delivering a local descriptive analytics report with no enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ticket escalations - Secondary-measure weighted mean: Secondary-measure weighted mean for Ticket escalations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded secondary-measure weighted mean report.
Output
A bounded descriptive analytics report containing the secondary-measure weighted mean for the escalations field across the submitted records, weighted by the chosen field (tickets or escalations). No forecast, enrichment, or external data is included — purely local computation on the supplied rows.
Example use cases
Team escalation rate comparison
“I have daily ticket and escalation counts for two support teams across last week — can you compute the weighted mean of escalations using ticket count as the weight, so I can compare which team has a higher escalation burden?”
Monthly support quality report
“For our monthly support review, calculate the weighted average escalation rate across these 50 daily records — each row has a date, team name, ticket count, and escalation count, and I want escalations weighted by tickets.”
Escalation spike investigation
“We had a rough October — here are 30 rows of daily support data with tickets and escalations per team. Give me the secondary-measure weighted mean of escalations so I can see the true weighted escalation intensity for that period.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-ticket-escalations-weighted-average?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local weighted mean computation on ticket escalation data without any external enrichment, forecasting, or data augmentation. It is ideal for descriptive analytics use cases where you already have the raw support records and need a statistically sound aggregate weighted by ticket volume or escalation count. Prefer this over generic statistics tools when your data is structured around support teams, dates, ticket counts, and escalation counts, and you want a ready-made report without building the computation yourself.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, team, date, tickets, escalations) returns a 400 error
- Null values in the weight field may produce undefined or null weighted mean
- Invalid field enum value (not 'tickets' or 'escalations') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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