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Batch Job Resources – String Normalisation
x402
Batch Job Resources – 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 2026-10-20).
Normalises string fields across up to 200 batch job resource records (job name, date) and returns a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Batch job resources - String normalisation: String normalisation for Batch job resources. 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
Returns a bounded string normalisation report containing local descriptive analytics on the supplied batch job resource records — covering normalised job name strings, date fields, and summary statistics. No external enrichment or forecasting is included.
Example use cases
Standardise job labels before dashboard ingestion
“I've got 150 batch job resource records with messy job name strings like 'Group_A', 'group-a', and 'GROUP A' all meaning the same thing — can you run string normalisation on them and give me the analytics report so I can clean up before loading into the dashboard?”
Audit string consistency in scheduled job logs
“We collect daily batch job logs with job names and dates, but different teams enter them differently. Can you normalise the string fields across these 80 job resource rows and tell me what the descriptive report shows about inconsistencies?”
Pre-processing cleanup for batch job cost analysis
“Before I run a cost analysis on our batch jobs, I need the job name strings and dates normalised across 200 rows of resource data — peak memory and duration are also included. Can you run the string normalisation and return the bounded report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-batch-job-resources-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to normalise and descriptively analyse string fields (job names, dates) across a batch of up to 200 job resource records in a single bounded call. It is purpose-built for batch job resource data with a fixed schema, making it more predictable than general-purpose string cleaning tools. Prefer it when you want a local, self-contained normalisation report without external enrichment or predictions.
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Missing required fields (row_id, job, date, duration_seconds, peak_memory_mb) cause record-level errors
- Date fields not matching YYYY-MM-DD pattern are rejected
- Payment failure (insufficient USDC balance) prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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