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Numeric Precision Comparisons — Trailing Mean Series + Keyed Dataset Comparison
x402
Numeric Precision Comparisons — Trailing Mean Series + 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 2026-10-15).
Computes trailing moving averages over a time series and performs keyed dataset comparison between two sets of numeric precision records (source_value vs transformed_value), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 trailing mean series showing rolling averages over the time-ordered rows for the selected field, and (2) a keyed dataset comparison showing row-by-row or group-level differences between the primary (rows) and secondary (other) datasets. All computation is performed locally with no external lookups or predictions.
Example use cases
ETL transformation accuracy audit
“I ran an ETL pipeline that transformed raw sensor readings and I want to validate it — here are two datasets (before and after) with row_id, dataset_group, date, source_value, and transformed_value. Can you compute the trailing mean series and do a keyed comparison on the transformed_value field so I can see where the transformation drifted?”
Financial data reconciliation between systems
“We have two exports from our accounting systems — both have row_id, date, dataset_group, source_value, and transformed_value for up to 150 rows. Can you run the trailing mean report and keyed dataset comparison on source_value so I can reconcile discrepancies between the two systems?”
A/B numeric model output comparison
“I'm comparing outputs from two versions of our pricing model — I have two record sets each with row_id, dataset_group, date, source_value, and transformed_value. Please compute the trailing mean series and keyed dataset comparison on the source_value field for both datasets so I can see which model diverges more over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing moving average analysis and a keyed row-level dataset comparison in a single paid call on up to 200 rows of numeric records with source/transformed value pairs. It is ideal for ETL validation, model output auditing, or before/after numeric precision checks where no external data enrichment or prediction is needed — just local analytical computation on supplied data.
Side effects
- Fewer than 1 row provided — request rejected
- More than 200 rows submitted — truncated or rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) — schema validation error
- Numeric values outside ±1,000,000,000,000 range — validation error
- Mismatched row_ids between rows and other datasets — comparison may produce nulls or misaligned results
- Payment not completed or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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