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Registry Snapshots — Trailing Mean Series + IQR Outlier Flags
x402
Registry Snapshots — Trailing Mean Series + 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).
Computes trailing moving-average time series and IQR-based outlier flags for registry snapshot data (registered_entities and changed_entities fields) across up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Trailing mean series + IQR outlier flags: Trailing mean series + 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
Two independent analytical reports per call: (1) a trailing mean time series computed over the specified window for the chosen field (registered_entities or changed_entities), and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range bounds — all derived purely from the supplied data rows, no external lookups.
Example use cases
Detect anomalous entity registration spikes
“I have daily registry snapshot data for multiple company groups over the past quarter — can you compute a 7-day trailing mean for registered_entities and flag any rows that look like outliers based on IQR? I have about 90 rows total.”
Monitor changed-entity volatility by group
“Analyze my registry snapshot records for unusual volatility in changed_entities — use a rolling window of 10 and flag any IQR outliers. I'll give you 150 rows grouped by company.”
Audit registry data quality with trend analysis
“I want a statistical audit of my company registry snapshots — compute the trailing mean series with a window of 4 for the registered_entities field across 60 rows, and tell me which rows are flagged as IQR outliers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-149?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have registry snapshot tabular data (up to 200 rows) and need both a rolling/trailing mean time series and IQR-based outlier detection in a single call for either registered_entities or changed_entities. It is ideal for lightweight statistical QA of corporate entity registration records without needing a full analytics platform. Prefer this over generic statistics APIs when your data is structured specifically around company groups and dated registry events.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum limit
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size exceeds number of rows — insufficient data for trailing mean
- Missing required fields (row_id, company_group, date) on any row
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field enum value — must be 'registered_entities' or 'changed_entities'
- Payment of 0.01 USDC not provided or declined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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