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Subscription Billing Credits – Record Quality Audit
x402
Subscription Billing Credits – Record Quality Audit is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Audits up to 200 subscription billing credit records for data quality issues, returning local descriptive analytics on the supplied dataset.
Price / call$0.01
Success—
StatusUnknown
How this service works
Subscription billing credits - Record quality audit: Record quality audit 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 record quality audit report.
Output
A bounded record quality audit report containing local descriptive analytics on the submitted billing credit rows, including quality flags, completeness checks, and summary statistics for fields such as invoiced_amount, credited_amount, provider, and date. No external enrichment or forecasting is included.
Example use cases
Pre-processing billing data validation
“Before I import this month's subscription billing credits into our system, can you audit these 80 records — each with a row ID, provider name, date, invoiced amount, and credited amount — and tell me if there are any data quality problems I should fix first?”
Monthly credit reconciliation check
“I've got 120 billing credit rows from October for providers group-a and group-b. Can you run a quality audit on them and give me a descriptive report on any issues with the invoiced or credited amounts?”
Vendor data quality review
“We just received a batch of 35 subscription credit records from a new vendor and I want to make sure the data is clean before we process it — can you audit the rows for quality issues and summarize what you find?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-billing-credits-quality?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01) data quality audit on a small-to-medium batch of subscription billing credit records (up to 200 rows) and want local descriptive analytics without any external enrichment or forecasting. It is ideal for pre-import validation, vendor data review, or routine monthly quality checks on billing credit datasets.
Side effects
- Empty rows array or missing required fields (row_id, provider, date, invoiced_amount, credited_amount) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Null or out-of-range numeric values for invoiced_amount or credited_amount may trigger errors
- Payment failure (insufficient USDC balance) blocks request processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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