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Transaction Fee Observations — Numeric Distribution + Secondary-Measure Weighted Mean
x402
Transaction Fee Observations — Numeric Distribution + 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 a numeric distribution and a transaction-count-weighted mean for up to 200 supplied transaction fee observation records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean for supplied transaction fee observations records (fee_units, transaction_count). 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 for the supplied rows: (1) a numeric distribution (e.g. percentiles, frequency bins, min/max/mean/std) of the selected field (fee_units or transaction_count), and (2) a secondary-measure weighted mean where the selected field values are weighted by the other numeric column (transaction_count). Both reports are computed locally with no external lookups.
Example use cases
Exchange fee analysis by instrument group
“I've got 150 rows of trade fee observations from our exchange, each with a fee_units value and transaction_count. Can you compute a numeric distribution and transaction-count-weighted mean for fee_units so I understand our fee spread across instrument groups?”
Daily fee trend statistical summary
“Here are 80 daily transaction fee records dated from 2024-01-01 to 2024-03-31 with fee_units and transaction_count — please give me a numeric distribution and the weighted mean of fee_units using transaction_count as the weight.”
Payment processor fee benchmarking
“I want to benchmark our payment processor fees. I have 200 rows of fee_units and transaction_count data across different groups — run a numeric distribution and a transaction-count-weighted mean on the fee_units field so I can see the shape of our fee costs.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-082?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of transaction fee observation records (up to 200 rows) and need both a distribution profile of fee values AND a volume-weighted mean in a single call. It is ideal for offline/supplied-data analytics where no live market data or external enrichment is needed, and when cost efficiency (0.01 USDC for 2 reports) is important. Prefer alternatives if you need real-time fee data, predictions, or more than 200 rows processed at once.
Side effects
- Rows array is empty or missing — validation error
- More than 200 rows supplied — exceeds maxItems limit
- fee_units or transaction_count contains non-numeric values outside allowed range — schema rejection
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Payment not received or insufficient USDC balance — 402 response
- row_id missing or empty string — minLength violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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