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Donation Campaign Records – String Normalisation
x402
Donation Campaign Records – 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 2026-10-17).
Normalises string fields (campaign names, dates) across up to 200 donation campaign records and returns a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Donation campaign records - String normalisation: String normalisation for Donation campaign records. 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 up to 200 donation campaign records, including descriptive analytics on the normalised string fields (campaign names, dates). No enrichment or forecasting is included — output is local and analytical only.
Example use cases
Fundraising data cleanup before reporting
“I have 120 donation campaign rows where the campaign names are all over the place — some say 'Spring Drive', others 'spring-drive' or 'SPRING DRIVE'. Can you normalise those strings across all rows and give me a clean descriptive report?”
Multi-campaign CRM data standardisation
“We just exported 80 records from our CRM with inconsistent campaign labels and mixed-format strings. Can you run string normalisation on them so everything is consistent before we import them back?”
End-of-month donation audit prep
“Before I hand off these 60 donation records to the finance team, can you normalise all the campaign name strings and flag anything that looks inconsistent, along with a summary analytics report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-donation-records-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 donation campaign records with messy or inconsistent string fields and need a quick, local normalisation pass with descriptive analytics — without requiring data enrichment, external lookups, or forecasting. Ideal for pre-processing fundraising data before reporting or CRM import.
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- Missing required fields (row_id, campaign, date, donations, amount) cause schema errors
- Null numeric values may produce incomplete analytics for affected rows
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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