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Transaction Fee Observations — Equal-Width Histogram + Secondary-Measure Weighted Mean
x402
Transaction Fee Observations — Equal-Width Histogram + 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 an equal-width histogram and a transaction-count-weighted mean over supplied transaction fee observation records using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + 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: (1) an equal-width histogram over the specified field (e.g. fee_units) broken into the requested number of bins, showing bin boundaries and observation counts; (2) a weighted mean of the primary measure using the secondary measure (transaction_count) as weights. Both computed locally from the supplied rows, no external data fetched.
Example use cases
Fee distribution analysis for trading desk
“I have 50 rows of daily transaction fee records across two instrument groups — can you bucket the fee_units into 8 equal-width histogram bins and also give me the transaction-count-weighted mean? Here's my CSV data converted to rows with row_id, instrument_group, date, fee_units, and transaction_count fields.”
Identifying fee outliers in crypto bridge transfers
“Analyze the distribution of fee_units from my bridge transfer observations — use 5 bins for the histogram and compute the weighted mean using transaction_count as the weight. I want to see where most fees cluster so I can spot any unusual spikes.”
Summarizing fee structure across instrument groups
“Given these 30 transaction fee records covering equities and derivatives with date, fee_units, and transaction_count columns, can you build an equal-width histogram with 15 bins over fee_units and calculate the transaction-count-weighted average fee?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-172?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you already have transaction fee observation data in hand and need fast, local statistical summarization — specifically an equal-width histogram and a transaction-count-weighted mean — without requiring live market data, external lookups, or predictions. Ideal for fintech analytics pipelines, fee audits, and reporting workflows where the raw records are available and you need two complementary statistical views in one low-cost call.
Side effects
- Exceeds 200 row limit — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- fee_units or transaction_count values outside ±1,000,000,000,000 are rejected
- bins parameter outside 1–30 range returns validation error
- Missing required row fields (row_id, date, fee_units, transaction_count, instrument_group) causes schema rejection
- Null values in fee_units or transaction_count may affect histogram accuracy or weighted mean computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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