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Numeric Precision Comparisons — Adjacent Row Changes + Base-100 Series
x402
Numeric Precision Comparisons — Adjacent Row Changes + Base-100 Series 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).
Analyzes up to 200 rows of source/transformed numeric pairs, producing two reports: adjacent row changes and a base-100 indexed series, both computed locally without external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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 computed from the supplied rows: (1) an adjacent row changes report showing numeric deltas between consecutive rows for the selected field, and (2) a base-100 series report indexing the selected field relative to the specified base row. Both reports are generated locally from the provided data with no external data sources.
Example use cases
Index sales data to base-100 for comparison
“I've got monthly sales figures for two product lines with source and transformed values — please generate a base-100 series starting from the first row and also show me the adjacent row changes for the source_value field across all 120 rows.”
Track precision drift between raw and processed values
“I want to see how my transformed_value column differs from the source_value column row-by-row — can you run both the adjacent row changes and base-100 reports on this dataset of 80 records so I can spot where precision drift is largest?”
Normalize a financial time series for benchmarking
“Here are 200 rows of daily closing prices with their adjusted values — run the base-100 index series anchored at row 0 and the adjacent row delta report on the source_value field so I can benchmark performance over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-155?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both adjacent row change analysis AND a base-100 indexed series computed together on the same dataset of source/transformed numeric pairs in a single API call, saving cost over calling two separate endpoints. It is ideal for time-series normalization and precision comparison workflows where the data is already in hand and no external enrichment or lookup is needed.
Side effects
- Exceeding 200 rows causes rejection — only up to 200 rows accepted per call
- Invalid date format (non YYYY-MM-DD) triggers schema validation failure
- base_index out of range (≥ number of rows supplied) causes an error
- null values in source_value or transformed_value may produce null or skipped deltas in the adjacent row report
- Missing required fields (row_id, dataset_group, date) cause request rejection
- Supplying an invalid field enum value (not source_value or transformed_value) returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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