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Registry Snapshots — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Registry Snapshots — Numeric Row Ordering + Secondary-Measure Weighted Mean 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 numeric row ordering and secondary-measure weighted mean for supplied registry snapshot records (registered_entities, changed_entities) across up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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) numeric row ordering — rows ranked by the selected field (registered_entities or changed_entities), and (2) a secondary-measure weighted mean — the weighted average of the primary field using the other measure as the weight. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Rank entities by registration volume
“I have monthly registry snapshots for three company groups and I want to see which rows have the highest registered_entities count — can you give me a numeric row ordering and also the weighted mean of registered_entities weighted by changed_entities? Here's my data: row-1 group-a 2026-01-01 registered=500 changed=10, row-2 group-b 2026-01-01 registered=300 changed=25, row-3 group-c 2026-01-01 registered=800 changed=5.”
Monitor entity change weighting over time
“I want to understand which periods had the most impactful registry changes — can you rank these 5 rows by changed_entities and compute the weighted mean of changed_entities using registered_entities as the secondary weight? Rows: row-1 group-a 2025-03-01 registered=100 changed=4, row-2 group-a 2025-04-01 registered=120 changed=7, row-3 group-b 2025-03-01 registered=200 changed=2, row-4 group-b 2025-04-01 registered=180 changed=9, row-5 group-a 2025-05-01 registered=110 changed=6.”
Compare group performance in snapshot audit
“I'm auditing registry snapshots for two company groups across Q1 and need both a numeric ranking of all rows by registered_entities and the weighted mean of registered_entities weighted by changed_entities — please run both reports on my 6 rows: row-1 group-a 2026-01-01 registered=50 changed=3, row-2 group-b 2026-01-01 registered=75 changed=8, row-3 group-a 2026-02-01 registered=60 changed=5, row-4 group-b 2026-02-01 registered=90 changed=2, row-5 group-a 2026-03-01 registered=55 changed=4, row-6 group-b 2026-03-01 registered=85 changed=6.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 registry snapshot records and need both a numeric row ranking and a weighted mean calculation in a single $0.01 call. It is ideal for offline/batch analytics on already-collected registry data where no live lookup or prediction is needed. Prefer this over general analytics endpoints when your data specifically involves registered_entities and changed_entities fields per company group and date.
Side effects
- Exceeds 200-row limit — request is rejected
- Missing required fields (row_id, date, company_group, registered_entities, changed_entities) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejected
- Empty rows array — minimum 1 item required
- Invalid field enum value — must be 'registered_entities' or 'changed_entities'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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