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Registry Snapshots — Trailing Mean Series + Date by Category Pivot
x402
Registry Snapshots — Trailing Mean Series + Date by Category Pivot 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).
Computes a trailing moving average time series and a date-by-category pivot table for supplied registry snapshot data (registered_entities, changed_entities) — two analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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 independent analytical reports: (1) a trailing mean series showing rolling averages of the selected field (registered_entities or changed_entities) over the specified window, and (2) a date-by-category pivot table breaking down the selected field's values by date and company_group — both computed from the supplied rows without any external lookups.
Example use cases
Smoothing entity registration trends
“I have weekly registry snapshots for three company groups over the past quarter — can you compute a trailing mean series with a window of 4 for registered_entities so I can see the smoothed trend for each group? Here are up to 150 rows of data.”
Pivot changed entities by date and group
“Take these registry snapshot records with dates and company_group labels and give me a date-by-category pivot for changed_entities — I need to see how each group's changes break down day by day across 80 rows.”
Dual-report analytics for compliance review
“I'm reviewing entity change activity across two company groups for a compliance audit — please run both the trailing mean series with window 5 and the date pivot on these 60 registry snapshot rows using the changed_entities field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series and a date-by-category pivot on registry snapshot data (registered_entities or changed_entities) in a single low-cost call. It is ideal for batch analytical summarization of up to 200 pre-collected rows without any need for live data lookup or external enrichment. Prefer it over general-purpose analytics tools when working within the x402 micropayment ecosystem and needing two bundled reports for $0.01 USDC.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — hard cap at 200 rows
- Window size less than 2 or greater than 200 — invalid window
- Date values not matching YYYY-MM-DD format — schema validation failure
- row_id missing or empty — required field violation
- Numeric field values outside ±1,000,000,000,000 — schema violation
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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