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Registry Snapshots — Record Quality Audit + String Normalisation + Adjacent Row Changes
x402
Registry Snapshots — Record Quality Audit + String Normalisation + 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 2026-10-23).
Runs three independent analytical reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 registry snapshot rows containing registered_entities and changed_entities counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied registry snapshots records (registered_entities, changed_entities). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging completeness and consistency issues, (2) a string normalisation report identifying and correcting inconsistencies in company_group strings, and (3) an adjacent row changes report highlighting row-to-row differences in the selected numeric field (registered_entities or changed_entities). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Monthly registry data quality check
“I have 50 rows of monthly registry snapshot data for my company groups with their registered_entities and changed_entities numbers — can you run all three reports: quality audit, string normalisation, and adjacent row change detection on the registered_entities field?”
Detecting suspicious entity count swings
“We just pulled 120 rows of daily registry snapshots across a dozen company groups and want to know if there are any suspicious jumps between consecutive rows in changed_entities — can you run the adjacent row change analysis plus a quality audit on the whole batch?”
Cleaning company group name strings
“I've got 80 registry snapshot records where company_group strings look inconsistent — mixed casing, extra spaces, that sort of thing — can you run the string normalisation report along with the quality audit so I know which rows are problematic?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical passes — quality audit, string normalisation, and adjacent row change detection — on registry snapshot data in a single cost-efficient call ($0.01 USDC for all three reports). It is ideal for batch offline analysis of up to 200 rows of company registration data where no live lookup, prediction, or external action is needed.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, company_group, registered_entities, changed_entities) cause row-level rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Invalid field enum value (anything other than 'registered_entities' or 'changed_entities') causes a bad request error
- Payment failure or insufficient USDC balance blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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