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Experiment Signals String Normalisation
x402
Experiment Signals String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Normalises numeric experiment signal records (up to 200 rows) across conditions and dates, returning a bounded string normalisation report for local descriptive analytics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Experiment signals - String normalisation: String normalisation for Experiment signals. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded string normalisation report.
Output
A bounded string normalisation report covering the submitted experiment signal records, providing local descriptive analytics output including normalised signal values across the supplied conditions and dates. No external enrichment or forecasting is included.
Example use cases
A/B test signal normalisation
“I've got experiment results from two groups — group-a and group-b — recorded daily from 2026-10-01 to 2026-10-04, each with a signal value and a background baseline. Can you normalise these signals across conditions and give me a descriptive summary?”
Multi-condition experiment cleanup
“I'm running a clinical experiment with 3 conditions — control, treatment-low, and treatment-high — across 60 days of signal readings. Please normalise the string representation of these signal values so I can compare them cleanly across conditions.”
Background-adjusted signal standardisation
“Here are 150 experiment data points with dates, row IDs, signal values, and background readings across 5 experimental groups. Run string normalisation on the full batch and return the normalisation report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-experiment-signals-normalise?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 experiment signal records with associated conditions and background values and need a lightweight, local string normalisation report without any external enrichment, forecasting, or enrichment dependencies. Ideal for descriptive analytics on A/B test or controlled experiment data where simple normalisation is sufficient.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, condition, date, signal, background) cause rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Signal or background values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems: 1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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