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Numeric Precision Comparisons — String Normalisation + Trailing Mean Series
x402
Numeric Precision Comparisons — String Normalisation + Trailing Mean 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).
Runs string normalisation and trailing mean series analytics on up to 200 rows of numeric precision comparison data (source_value vs transformed_value), returning two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — String normalisation + Trailing mean series: String normalisation + Trailing mean 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
Two independent analytical reports: (1) a string normalisation report on the selected numeric field across supplied rows, and (2) a trailing mean series computed over the specified sliding window for the selected field, both derived entirely from the supplied data without external lookups or predictions.
Example use cases
ETL pipeline quality check
“I just ran an ETL transformation on my sales figures and need to compare the source values against the transformed values. Can you run string normalisation and a trailing mean series with a window of 5 on my 120-row dataset using the source_value field, so I can spot where the transformation drifted?”
Financial data precision audit
“I have 80 rows of financial records with original and adjusted numeric values across two groups — run string normalisation and a trailing mean series (window 4) on the transformed_value field so I can review numeric precision across dates.”
Sensor reading smoothing analysis
“I've got 150 rows of sensor readings split into two dataset groups with raw source_value and calibrated transformed_value columns. Please compute the trailing mean series with window size 7 and string normalisation on the source_value field and give me both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and trailing mean series computed together on a batch of up to 200 numeric precision comparison records (source vs transformed values) in a single paid call, without requiring any external data lookup, live prediction, or third-party integration. It is cost-effective at $0.01 USDC for two bundled local analytical reports.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maxItems limit
- Window size smaller than 2 or larger than 200 — validation error
- source_value or transformed_value outside [-1e12, 1e12] — schema validation failure
- date field not in YYYY-MM-DD format — pattern validation error
- row_id missing or empty string — required field error
- Payment not completed — endpoint returns 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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