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Registry Snapshots Analyzer — Record Quality Audit + String Normalisation + Equal-Width Histogram
x402
Registry Snapshots Analyzer — Record Quality Audit + String Normalisation + Equal-Width Histogram 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 analytical reports on registry snapshot data (registered_entities, changed_entities): a record quality audit, string normalisation, and an equal-width histogram — all in one call for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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: (1) a record quality audit flagging missing, null, or out-of-range values across the supplied rows; (2) a string normalisation report for text fields such as company_group; and (3) an equal-width histogram with the configured number of bins for the selected numeric field (registered_entities or changed_entities). All computed locally without external lookups or live data.
Example use cases
Registry data quality check for compliance
“I have 150 rows of company registry snapshot data with registered_entities and changed_entities values — can you audit them for record quality issues, normalise the company_group strings, and produce a histogram with 5 bins for registered_entities so I can see the distribution?”
Onboarding data validation for new entity batch
“We just ingested a batch of 80 new registry records across groups alpha, beta, and gamma from 2024-03-01 to 2024-05-31. Run all three reports — quality audit, string normalisation, and a 10-bin equal-width histogram on changed_entities — so I can flag problems before loading to production.”
Monthly distribution analysis of changed entities
“Here are our monthly registry snapshots for the last 6 months — 6 rows with row IDs month-1 through month-6, all under company_group 'RegCo'. Give me a record quality audit, string normalisation, and an equal-width histogram with 6 bins on the changed_entities field to see how volatility is distributed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, cost-efficient batch of three registry-specific analytical reports (quality audit, string normalisation, histogram) on up to 200 rows of company registry snapshot data in a single API call. It is ideal when you want offline, local analytical computation without any live lookup, prediction, or external action. Prefer it over individual analytics endpoints when all three report types are needed simultaneously to save cost and round-trips.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected with error
- field value not one of registered_entities or changed_entities — schema rejection
- Numeric values outside ±1,000,000,000,000 — schema validation failure
- Missing required fields (row_id, company_group, date) — per-row validation error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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