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Trade Observations — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Trade Observations — 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 2026-10-26).
Computes numeric row ordering and secondary-measure weighted mean for up to 200 trade observation records containing export and import amounts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trade observations — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean for supplied trade observations records (export_amount, import_amount). 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 reports for the submitted trade observation rows: (1) a numeric row ordering ranking each row by the selected measure (export_amount or import_amount), and (2) a secondary-measure weighted mean computed using the chosen field weighted against the other trade measure. Both are derived entirely from the supplied data with no external lookups.
Example use cases
Regional export ranking for trade report
“I have monthly trade data for 8 regions with export and import figures — can you rank all the rows by export_amount and give me the weighted mean of exports weighted by import volumes? Here are the rows: row-1 through row-8 across regions A through D from 2026-01-01 to 2026-08-01.”
Quarterly import weighted average analysis
“Take these 12 trade observation records spanning Q1 2026 across group-a and group-b regions and compute the numeric row ordering plus the secondary-measure weighted mean for import_amount — I need both analyses from the same call.”
Trade data audit before dashboard publish
“Before I publish my trade dashboard, can you run numeric row ordering and secondary-measure weighted mean on these 50 trade rows using export_amount as the primary field? Each row has a row_id, date, region, export_amount, and import_amount.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-06-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric row ranking and a secondary-measure weighted mean computed together on trade observation data (export and import amounts) in a single API call. It is ideal for batch analytics on up to 200 trade records where no live data lookup, prediction, or external enrichment is needed — just local statistical computation on supplied rows. It saves cost versus calling two separate endpoints.
Side effects
- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maximum batch size
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields (row_id, region, date, export_amount, import_amount) on any row
- Amount values outside allowed range (-1e12 to 1e12)
- Invalid field enum value — must be 'export_amount' or 'import_amount'
- Payment not received or insufficient USDC balance — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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