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Registry Snapshots — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Registry Snapshots — Record Quality Audit + String Normalisation + Numeric Interval Filter 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 record quality, normalises strings, and filters rows by numeric interval for registry snapshot data containing registered_entities and changed_entities fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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
Three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values across the supplied rows; (2) a string normalisation report standardising company_group text fields; (3) a numeric interval filter report identifying rows where the selected field (registered_entities or changed_entities) falls within the specified minimum/maximum range. Results are based solely on the supplied data with no external lookups.
Example use cases
Registry data quality audit for compliance
“I have a batch of registry snapshot records with company groups, dates, and entity counts — can you audit their data quality, normalise the company group strings, and filter rows where registered_entities falls between 5 and 500? I'll give you the rows in CSV-like format.”
Detecting anomalous entity change counts
“Run a numeric interval filter on my registry snapshot data using the changed_entities field, keeping only rows where the value is between -10 and 50, and also give me the string normalisation and record quality reports while you're at it.”
Cleaning registry records before a data merge
“Before we merge these registry datasets, can you normalise the company_group strings, audit record quality for any missing or malformed fields, and filter registered_entities between 1 and 1000 across these 150 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three analytical operations — record quality audit, string normalisation, and numeric interval filtering — applied simultaneously to registry snapshot data (registered_entities, changed_entities) for up to 200 rows, at a fixed low cost of $0.01 USDC per call. Prefer it over single-operation endpoints when all three analyses are needed together. Do not use it for live data lookups, external enrichment, predictions, or datasets exceeding 200 rows.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — exceeds batch limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- missing required fields (row_id, company_group, date) — schema validation error
- numeric values outside ±1,000,000,000,000 — schema validation error
- field enum value not 'registered_entities' or 'changed_entities' — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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