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Numeric Precision Comparisons — Grouped Summary & Base-100 Series
x402
Numeric Precision Comparisons — Grouped Summary & 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).
Generates two local analytical reports — a grouped numeric summary and a base-100 indexed series — for up to 200 rows of source/transformed value pairs, enabling precision comparison of numeric transformations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Grouped numeric summary + Base-100 series: Grouped numeric summary + 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 analytical reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) broken down by dataset_group, and (2) a base-100 indexed series for the selected field anchored to the specified base_index row — all computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline transformation audit
“I've got 120 rows of pre- and post-ETL numeric values split into 'raw' and 'normalized' groups — can you generate a grouped numeric summary and a base-100 series using source_value as the field, starting from row 0, so I can see how much the transformation shifted the data?”
Financial data normalization review
“Here are 80 records of original financial figures and their scaled equivalents across two portfolio groups. Please run a grouped numeric summary and base-100 indexed comparison on the transformed_value field with base index 0, so I can assess the normalization accuracy.”
A/B test metric baseline comparison
“I have results from two experiment groups — 60 rows total — with observed and adjusted metric values per date. Can you give me a grouped numeric summary and a base-100 series using source_value starting from the first row, so I can compare the groups against a shared baseline?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-092?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have paired source/transformed numeric records organized by group and date and need both a grouped statistical summary and a base-100 normalized trend series in a single call. It is ideal for validating ETL or data transformation pipelines, auditing numeric precision, or benchmarking changes across groups — all offline from your own supplied data, with no external API calls or live data dependencies. Prefer this over generic analytics tools when you specifically need the base-100 indexing and grouped summary combination for up to 200 rows at a flat micro-cost.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- source_value or transformed_value outside ±1,000,000,000,000 range causes schema rejection
- base_index out of range (≥ number of rows supplied) may cause indexing error
- Missing required row fields (row_id, dataset_group, date) cause validation failure
- Non-numeric values in numeric fields cause type errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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