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Newsletter Observations — String Normalisation + Exact Row Deduplication
x402
Newsletter Observations — String Normalisation + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Cleans and deduplicates up to 200 newsletter observation records (delivered_messages, open_count) via string normalisation and exact row deduplication, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Newsletter observations — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied newsletter observations records (delivered_messages, open_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns 2 analytical reports covering (1) string normalisation outcomes for text fields like channel_group and (2) exact row deduplication results identifying and removing duplicate records across the supplied newsletter observation rows. No external lookups or predictions are made; all processing is local and analytical.
Example use cases
Deduplicating newsletter campaign exports
“I exported our weekly newsletter stats and suspect there are duplicate rows. Can you normalise the string fields and strip out exact duplicates from this dataset? It has channel_group, date, delivered_messages, and open_count columns, around 120 rows.”
Standardising multi-source newsletter aggregation
“We're merging newsletter observations from two systems and the channel group names have inconsistent capitalisation and spacing. Can you run string normalisation and exact deduplication on the combined records — about 180 rows with delivered_messages and open_count per row?”
Pre-analysis data quality pass on open rate data
“Before I calculate open rates, I need to make sure my 90-row newsletter dataset is clean — no duplicate entries and all string fields normalised. The rows have row_id, channel_group, date, delivered_messages, and open_count. Can you run the deduplication and normalisation reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-08-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) batch cleaning pass on newsletter observation data — specifically for string normalisation of categorical fields and exact duplicate row removal. Ideal for pre-processing newsletter exports before aggregation or reporting, when datasets are 200 rows or fewer and no live enrichment or prediction is needed.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, channel_group, date, delivered_messages, open_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) may cause parsing failures
- Numeric fields outside allowed range (-1e12 to 1e12) rejected
- Empty rows array returns an error (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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