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Transaction Fee Observations — Equal-Width Histogram + Keyed Dataset Comparison
x402
Transaction Fee Observations — Equal-Width Histogram + Keyed Dataset Comparison 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).
Generates an equal-width histogram and a keyed dataset comparison report for supplied transaction fee observation records (fee_units, transaction_count).
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + Keyed dataset comparison 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 partitioning the chosen numeric field (fee_units or transaction_count) into up to 30 bins with bin boundaries and record counts per bin; (2) a keyed dataset comparison identifying differences between the primary and secondary datasets matched by row_id.
Example use cases
Fee distribution shift across quarters
“I have transaction fee data for Q1 and Q2, each up to 150 rows with fee_units and transaction_count by instrument group. Can you bucket the fee_units into 10 equal-width bins and compare the two quarters row-by-row to see where fees changed?”
Instrument group fee histogram for compliance review
“I need a histogram of our transaction fee_units across 5 equal-width bins for this batch of 80 records tagged by instrument group and date — and compare them against last month's records to flag any keyed differences.”
Detecting anomalies between fee datasets
“Here are two sets of fee observation records — primary and secondary — both with fee_units and transaction_count fields. Please run an equal-width histogram with 6 bins on transaction_count and do a keyed comparison so I can spot which rows differ between the two datasets.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-174?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a distributional view (histogram) and a record-level keyed comparison of transaction fee data in a single call, without requiring live data lookup or external enrichment. Best suited for offline/batch analytical workflows on up to 200 rows of fee observation records.
Side effects
- Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) cause validation errors
- Exceeding 200 rows in either dataset returns a schema validation error
- Invalid date format (not YYYY-MM-DD) rejected by pattern validation
- bins parameter outside 1–30 range rejected
- Null values in the selected analysis field may be excluded or cause partial results
- Mismatched row_id keys between primary and secondary datasets reduce comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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