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Registry Snapshots — Record Quality Audit + String Normalisation + Trailing Mean Series
x402
Registry Snapshots — Record Quality Audit + String Normalisation + Trailing Mean Series 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 local analytical reports on registry snapshot data: a record quality audit, string normalisation, and a trailing mean time series — all on supplied rows, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series 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 completeness, missing values, and anomalies across the supplied rows; (2) a string normalisation report identifying and standardising inconsistencies in text fields like company_group; and (3) a trailing mean series for the chosen numeric field (registered_entities or changed_entities) over the specified window. All computation is performed locally on the supplied data — no external lookups occur.
Example use cases
Monthly registry data quality check
“I have 80 rows of registry snapshot data from last month with company groups, dates, and registered entity counts — can you audit their record quality, normalise the company group strings, and give me a trailing mean series with a window of 5 over the registered_entities field?”
Detecting string inconsistencies in entity labels
“My registry export has inconsistent company group labels like 'Group A', 'group-a', and 'GROUP A' — can you run the string normalisation and quality audit reports on these 40 rows so I can see what needs cleaning?”
Rolling average trend for changed entities
“I want to see how the changed_entities count has been trending over time — can you compute the trailing mean series with a window of 7 for my 120 registry snapshot rows and also include the quality audit?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined data-quality and analytical reports (quality audit, string normalisation, trailing mean) on up to 200 registry snapshot rows in a single low-cost call, without requiring any live data lookups or external integrations. It is ideal for batch offline analysis of company registry time series data where the data is already on hand.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- date values not matching YYYY-MM-DD pattern — validation error
- window value outside 2–200 range — rejected
- registered_entities or changed_entities values outside ±1,000,000,000,000 — rejected
- field enum value not one of 'registered_entities' or 'changed_entities' — error
- row_id missing or empty string — validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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