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Transaction Fee Observations — Equal-Width Histogram + IQR Outlier Flags
x402
Transaction Fee Observations — Equal-Width Histogram + IQR Outlier Flags 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 IQR-based outlier flags for user-supplied transaction fee observation records, analyzing fee_units or transaction_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags 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 sharing the same dataset: (1) an equal-width histogram showing bin boundaries and record counts for the selected field, and (2) IQR-based outlier flags identifying which rows have values outside the interquartile fence. Up to 200 rows supported per call.
Example use cases
Blockchain fee anomaly detection
“I've got 120 rows of on-chain transaction fee observations with dates and instrument groups. Can you run a histogram with 8 bins on the fee_units field and flag which rows look like outliers based on IQR?”
Exchange fee distribution review
“Here are 80 transaction records from our exchange — each has a row_id, instrument_group, date, fee_units, and transaction_count. Bucket the transaction_count into 5 equal-width bins and use IQR to flag the unusual ones.”
Daily fee QA for finance ops
“I need a quick statistical check on today's fee log — 40 rows, one per instrument. Run an equal-width histogram with 6 bins on fee_units and tell me which rows are IQR outliers so I can review them before EOD.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-170?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of transaction fee or count data and need both a distributional summary (histogram) and anomaly detection (IQR outliers) in a single low-cost call. It is best suited for offline/batch QA workflows, not real-time streaming. Prefer it over general-purpose analytics tools when you want a deterministic, reproducible statistical summary with no external data dependencies.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, date, fee_units, transaction_count) on any row — validation error
- Bins parameter out of range (must be 1–30) — error returned
- Null values in the selected analysis field may reduce histogram accuracy
- Date field not matching YYYY-MM-DD pattern — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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