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Subscription Billing Credits Two-Measure Correlation
x402
Subscription Billing Credits Two-Measure Correlation 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 two-measure Pearson/rank correlation between invoiced_amount and credited_amount across subscription billing credit records, returning a bounded local analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Subscription billing credits - Two-measure correlation: Two-measure correlation for Subscription billing credits. 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 two-measure correlation report.
Output
A bounded two-measure correlation report containing the correlation coefficient between invoiced_amount and credited_amount across the supplied records, along with supporting descriptive statistics. The report is local (no external enrichment or forecasting) and covers up to 200 input rows.
Example use cases
Detect credit-to-invoice scaling pattern
“I have 80 billing records for my SaaS subscriptions with invoiced and credited amounts across two providers — can you compute whether credits are correlated with invoice size so I can spot if we're over-crediting large accounts?”
Quarterly billing audit for finance team
“Our finance team needs to know if subscription credits issued in Q4 track proportionally with what we billed — can you run a two-measure correlation on these 120 records with dates, provider labels, and both amount columns?”
Compare credit behavior across providers
“I want to check if the relationship between invoiced and credited amounts differs by provider in our billing system — here are 40 rows split between group-a and group-b, can you run the correlation analysis?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-billing-credits-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, lightweight, local statistical correlation between exactly two numeric billing measures (invoiced vs credited amounts) on a small-to-medium dataset (up to 200 rows) without needing forecasting, enrichment, or external data. It is purpose-built for subscription billing credit analytics and is cost-effective at $0.01 USDC per report.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Missing required fields (row_id, provider, date, invoiced_amount, credited_amount) cause schema validation failure
- Null values in both measure columns for all rows may result in an undefined or degenerate correlation
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Amounts outside the ±1,000,000,000,000 bounds are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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