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Transaction Fee Observations — Trailing Mean Series + Two-Measure Correlation
x402
Transaction Fee Observations — Trailing Mean Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Computes a trailing moving-average series and a two-measure Pearson/rank correlation report for up to 200 rows of supplied transaction fee observation data (fee_units, transaction_count).
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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) a trailing mean series showing the rolling average of the selected field (fee_units or transaction_count) over the specified window size for each row, and (2) a two-measure correlation report quantifying the statistical relationship between fee_units and transaction_count across all supplied rows. Both reports are computed locally against the supplied data with no external lookups.
Example use cases
Rolling fee smoothing for exchange report
“I have daily transaction fee data for two instrument groups over the past month — can you compute a trailing mean with a window of 5 on fee_units and also tell me how correlated fee_units is with transaction_count across my 120 rows?”
Detecting fee-volume relationship for billing audit
“I need to know if there's a meaningful correlation between our fee_units and transaction_count in this dataset of 80 billing records, and I'd also like a smoothed trailing average series on fee_units using a window of 4.”
Instrument group fee trend analysis
“Can you calculate a 7-period trailing mean for transaction_count across these 150 fee observation rows grouped by instrument, and give me the two-measure correlation report between fee_units and transaction_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of transaction fee observation records and need both a trailing moving-average time series AND a two-measure correlation report computed together for $0.01 USDC — ideal for lightweight statistical pre-processing of fee data without needing a full analytics platform or live data pipeline.
Side effects
- Fewer than 2 rows supplied (minItems:1 but window requires at least window-size rows for meaningful output)
- Window size larger than number of rows results in NaN or null values for early rows
- Invalid date format (must be YYYY-MM-DD pattern)
- Exceeding 200 row limit causes rejection
- Null values in fee_units or transaction_count may reduce correlation sample size
- Missing required row fields (row_id, instrument_group, date) cause validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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