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Subscription Billing Credits – Adjacent Row Changes
x402
Subscription Billing Credits – Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes adjacent row-to-row changes in invoiced or credited amounts across up to 200 subscription billing credit records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Subscription billing credits - Adjacent row changes: Adjacent row changes 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 adjacent row changes report.
Output
Returns a bounded descriptive analytics report showing the adjacent (row-to-row) differences in the selected field (invoiced_amount or credited_amount) across the submitted billing credit records, including per-row deltas grouped by provider and date sequence.
Example use cases
SaaS billing credit trend review
“I have 30 days of subscription billing records for our providers, with invoiced and credited amounts per day. Can you compute the adjacent row changes on invoiced_amount so I can see how billing shifted from one record to the next?”
Credit anomaly detection across providers
“Here are our billing credit records for the past month across multiple providers. Run the row-by-row change analysis on the credited_amount field — I want to spot any sudden jumps or drops between consecutive entries.”
Finance team period-change reconciliation
“Our finance team needs a descriptive report showing how subscription invoiced amounts changed between each consecutive billing record for Q4. Can you run the adjacent row changes analysis on these 150 rows grouped by provider?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-billing-credits-period-change?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a flat list of subscription billing credit records and need to compute sequential, row-to-row changes (deltas) in either invoiced or credited amounts for local descriptive analytics — with no need for forecasting, enrichment, or external data. Best suited for up to 200 records per call at minimal cost ($0.01 USDC).
Side effects
- Empty or missing rows array returns 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, provider, date, invoiced_amount, credited_amount) causes record rejection
- Amounts outside ±1,000,000,000,000 range rejected
- Invalid field enum value (not invoiced_amount or credited_amount) causes error
- Insufficient USDC balance results in payment failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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