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Registry Snapshots — Adjacent Row Changes + IQR Outlier Flags
x402
Registry Snapshots — Adjacent Row Changes + IQR Outlier Flags 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).
Analyzes registry snapshot records to compute adjacent row changes and flag IQR-based outliers for registered_entities and changed_entities fields, producing two local analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags 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 analytical reports: (1) adjacent row change values showing the delta between consecutive rows for the selected field, and (2) IQR outlier flags identifying which rows fall outside the interquartile range bounds — all computed locally without external lookups or live data.
Example use cases
Detect outliers in entity registration data
“I have 80 rows of daily registry snapshots across several company groups — can you run an adjacent row change analysis and flag any IQR outliers in the registered_entities field so I can spot unusual registration activity?”
Monitor changed_entities anomalies over time
“Here are 120 registry snapshot records with dates, company groups, and changed_entities counts — please compute the row-to-row changes and identify which rows are statistical outliers using IQR on the changed_entities field.”
Validate registry data consistency before reporting
“Before I finalize my quarterly report, can you check these 60 company registry snapshot rows for any suspicious adjacent row changes or IQR outlier flags on the registered_entities column?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-157?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of registry snapshot time series — specifically row-to-row delta computation and IQR-based outlier detection — without needing live data enrichment, predictions, or external lookups. Ideal for data quality checks, anomaly detection in corporate registry records, or pre-reporting validation of entity count sequences across company groups.
Side effects
- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, date, company_group, registered_entities, changed_entities) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1T to 1T) — rejected
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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