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Transaction Fee Observations — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Transaction Fee 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 2026-10-24).
Computes numeric row ordering and transaction-count-weighted mean for up to 200 transaction fee observation records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + 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 local analytical reports: (1) a numeric row ordering ranking all input rows by the selected field (fee_units or transaction_count), and (2) a secondary-measure weighted mean where fee_units values are averaged using transaction_count as weights (or vice versa). No external data or predictions — purely deterministic computation on the supplied rows.
Example use cases
Fee ranking across trading instruments
“I have daily fee observations for two instrument groups over the past week — can you rank all the rows numerically by fee_units and give me the transaction-count-weighted mean? Here are my records: row-1 (2026-10-01, equities, fee_units=5, transaction_count=100), row-2 (2026-10-02, derivatives, fee_units=12, transaction_count=50), row-3 (2026-10-03, equities, fee_units=8, transaction_count=200).”
Weighted average cost analysis for settlement fees
“Can you compute the transaction-count-weighted mean of my settlement fee_units data and also rank the rows? I've got 5 records: row-1 (2026-11-01, FX, fee_units=0.50, transaction_count=400), row-2 (2026-11-02, FX, fee_units=0.75, transaction_count=300), row-3 (2026-11-03, bonds, fee_units=1.20, transaction_count=150), row-4 (2026-11-04, bonds, fee_units=0.90, transaction_count=250), row-5 (2026-11-05, FX, fee_units=0.60, transaction_count=500).”
Comparing fee burdens across clearing groups
“I want numeric row ordering and a weighted mean for transaction fees across my clearing groups — analyze fee_units weighted by transaction_count for these rows: row-A (2026-09-15, clearing-tier-1, fee_units=22, transaction_count=80), row-B (2026-09-16, clearing-tier-2, fee_units=18, transaction_count=120), row-C (2026-09-17, clearing-tier-1, fee_units=25, transaction_count=60).”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular transaction fee data (up to 200 rows) and need both a numeric rank ordering of rows and a transaction-count-weighted mean of fee values — all computed locally without any external lookups. Ideal for quick, deterministic fee analytics at very low cost ($0.01 USDC for 2 reports). Not suitable if you need forecasting, live market data, or more than 200 rows.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows exceeds maxItems limit and will be rejected
- Rows with null fee_units or transaction_count may be excluded from weighted mean calculation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, instrument_group, date) cause row-level rejection
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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