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Registry Snapshots — Record Quality Audit + String Normalisation
x402
Registry Snapshots — Record Quality Audit + String Normalisation 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).
Audits data quality and normalises strings in registry snapshot records (registered_entities, changed_entities) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied registry snapshots records (registered_entities, changed_entities). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports for the supplied rows: (1) a record quality audit highlighting data quality issues, anomalies, or inconsistencies in the registry snapshot fields, and (2) a string normalisation report showing standardised versions of string fields such as company_group. Both reports are computed locally with no external lookups.
Example use cases
Pre-load registry data quality check
“Before I import these registry snapshot records into our database, can you run a quality audit on them? I've got about 50 rows each with a row_id, company_group, date, registered_entities count, and changed_entities count — I need to know if there are any data quality issues and get the strings normalised.”
Clean inconsistent company group names
“I have a batch of 120 registry snapshot rows where the company_group field looks inconsistent — different capitalisations and spacing. Can you normalise those strings and also give me a data quality audit report on the registered_entities and changed_entities values?”
Routine weekly registry snapshot audit
“Here are this week's registry snapshot rows — 80 records with row_id, company_group, date, registered_entities, and changed_entities. Please run the record quality audit and string normalisation reports so I can review any issues before signing off on the data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and string normalisation in a single call for registry snapshot data with up to 200 rows. It is ideal for pre-ingestion validation of company registry data, cleaning inconsistent company group strings, and detecting quality issues in entity count fields — all without requiring live lookups or external data enrichment. Prefer this over generic data cleaning tools when working specifically with registered_entities and changed_entities registry snapshot structures.
Side effects
- More than 200 rows submitted — exceeds the maxItems limit, request rejected
- Missing required fields (row_id, date, registered_entities, changed_entities) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure
- Empty rows array — minItems constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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