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API Usage String Normalisation
x402
API Usage 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 string fields (endpoint names, dates) across up to 200 API usage records for consistent, clean analytics
Price / call$0.01
Success—
StatusUnknown
How this service works
API usage - String normalisation: String normalisation for API usage. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded string normalisation deliverable.
Output
Returns up to 200 API usage records with string fields (endpoint names, dates) normalised and cleaned — standardised casing, trimmed whitespace, consistent formatting — ready for downstream analytics or reporting pipelines.
Example use cases
Cleaning messy endpoint labels before reporting
“I've got 120 rows of API usage logs where the endpoint names are inconsistent — some are camelCase, some have trailing spaces, some use hyphens — can you normalise all the string fields so I can get a clean breakdown by endpoint?”
Preprocessing API data for dashboard ingestion
“Before I load my API usage data into the dashboard, I need to normalise the string values across all 180 records — endpoint names and dates especially — can you run the string normalisation on them?”
Standardising API logs from multiple sources
“I've merged API usage records from three different services and the endpoint name strings are all over the place. Can you normalise the strings across my 90 rows so the endpoint labels are consistent and the dates are all in a standard format?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-api-usage-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have API usage records with inconsistent or messy string fields — particularly endpoint names and dates — and need a lightweight, local normalisation pass before analytics. It handles up to 200 records per call at very low cost ($0.01 USDC) and performs no external enrichment, making it ideal for deterministic, repeatable data cleaning steps in an analytics pipeline.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, endpoint, date, requests, latency_ms) causes record rejection
- Invalid date format (not YYYY-MM-DD) may result in processing error
- Numeric fields outside allowed range trigger validation failure
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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