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Numeric Precision Comparisons — Base-100 Series + Equal-Width Histogram
x402
Numeric Precision Comparisons — Base-100 Series + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Generates two local analytical reports — a base-100 indexed series and an equal-width histogram — from user-supplied source/transformed numeric comparison rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Base-100 series + Equal-width histogram: Base-100 series + Equal-width histogram for supplied numeric precision comparisons records (source_value, transformed_value). 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 independent analytical reports: (1) a base-100 indexed series showing each row's value relative to the chosen base row, and (2) an equal-width histogram with configurable bin count showing the frequency distribution of the chosen numeric field — all computed locally without external lookups.
Example use cases
Validate data transformation accuracy
“I've got 120 rows where each row has an original measurement and a pipeline-transformed version. Can you index both using base-100 starting at row 0 and also show me a 5-bin histogram of the source_value so I can see if the transformation is distorting the distribution?”
Index financial time series to base 100
“I have daily closing price data across two groups for the past quarter — 63 rows total. Please run a base-100 series starting at the first row and an 8-bin equal-width histogram on the transformed_value field so I can compare relative performance.”
Summarize experiment result distributions
“Here are 200 rows of lab measurements with original and normalized values for two experimental groups. I need a 10-bin equal-width histogram and a base-100 indexed series anchored at row 0 on the source_value column to check how normalization shifts the distribution.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-163?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have paired numeric source/transformed values and need both a relative index series (base-100 normalization) and a distribution histogram in a single low-cost call. Ideal for data pipeline validation, time-series normalization checks, or exploratory distribution analysis on up to 200 rows without needing external data enrichment or prediction services.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes validation error
- base_index exceeds the number of provided rows
- bins parameter outside 1–30 range causes schema validation failure
- Null values in source_value or transformed_value may affect histogram and indexing calculations
- Missing required row fields (row_id, dataset_group, date) cause request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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