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Recruitment Funnel String Normalisation
x402
Recruitment Funnel 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 2026-10-19).
Normalises string fields in recruitment funnel records (source names, dates) across up to 200 rows of application and interview data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Recruitment funnel - String normalisation: String normalisation for Recruitment funnel. 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 processed recruitment funnel records with normalised string fields, including cleaned and standardised source names, validated date strings, and associated numeric fields (applications, interviews) with local data-quality processing applied. One bounded string normalisation deliverable per call.
Example use cases
Standardising job board source labels
“I've pulled recruitment data from several job boards and the source names are all inconsistently formatted — can you normalise the strings for these 10 rows so the source labels are standardised before I run my funnel report?”
Cleaning ATS export before pipeline ingestion
“I exported 50 rows from our ATS with messy source and date strings and I need them cleaned up and normalised before I load them into our data warehouse — can you process this recruitment funnel batch for me?”
Pre-analysis data quality pass on interview data
“Before I analyse our interview-to-application ratios, I need to normalise the string fields in these recruitment records — there are about 30 rows with inconsistent source group names that need standardising.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-recruitment-funnel-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need local, bounded string normalisation on recruitment funnel records (source names, dates) without any external enrichment or forecasting. Best suited for data cleaning and standardisation steps in an HR or ATS data pipeline where you have up to 200 rows of application and interview data and need consistent string formatting before downstream analysis or reporting.
Side effects
- Missing required fields (row_id, source, date, applications, interviews) returns validation error
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Supplying more than 200 rows exceeds maxItems limit and returns an error
- Null or out-of-range numeric values for applications or interviews may cause processing errors
- Empty rows array (minItems:1 not met) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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