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Registry Snapshots — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Registry Snapshots — Record Quality Audit + String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs three local analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 registry snapshot rows 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 distribution: Record quality audit + String normalisation + Numeric distribution 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, malformed, or anomalous fields; (2) a string normalisation report standardising company_group and date string values; and (3) a numeric distribution report (e.g. histogram or summary stats) for the chosen field (registered_entities or changed_entities). All computed locally on the supplied rows with no external lookups.
Example use cases
Registry data quality check before ETL
“I have a set of registry snapshot records for multiple company groups across the past week — can you audit them for record quality issues, normalise the company group strings, and show me the numeric distribution of registered_entities? I have about 50 rows with row_id, company_group, date, registered_entities, and changed_entities fields.”
Spotting anomalies in changed entity counts
“Can you run the three-report analysis on my registry snapshot data focusing on changed_entities for the numeric distribution? I want to see if there are any outliers or skewed values across my 120 rows of company registry change records.”
Cleaning and profiling company registry export
“Before I import this registry snapshot into our database, can you run a quality audit, string normalisation, and numeric distribution on the registered_entities column across my 80-row dataset? I need to make sure company group names are consistent and the numbers look sensible.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of registry snapshot data and need all three of a quality audit, string normalisation, and numeric distribution in a single low-cost call ($0.01 USDC). It is ideal for pre-processing or profiling company registry data locally without any external lookups, live data, or side effects. Prefer it over general-purpose analytics tools when the specific schema matches (registered_entities, changed_entities, company_group, date) and you need a bundled three-report output.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, registered_entities, changed_entities) cause schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid date format (not YYYY-MM-DD) causes a pattern validation error
- Empty rows array is rejected (minItems: 1)
- Invalid field enum value (not registered_entities or changed_entities) causes a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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