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Newsletter Observations — String Normalisation + Two-Measure Correlation
x402
Newsletter Observations — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs string normalisation and two-measure correlation analysis on newsletter observation records (delivered_messages, open_count) for up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Newsletter observations — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 two independent analytical reports: (1) a string normalisation report covering the channel_group and other string fields across the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between delivered_messages and open_count across up to 200 input rows.
Example use cases
Newsletter campaign open-rate correlation
“I have 120 rows of newsletter data with delivered_messages and open_count per channel group and date — can you normalize the channel group strings and compute the correlation between delivered messages and opens so I can see if higher delivery volume drives more opens?”
Multi-channel string cleanup and stats
“My newsletter export has inconsistent channel_group labels across 80 rows. Can you normalize those strings and also run a two-measure correlation between delivered_messages and open_count so I get both a cleaned view and a statistical relationship report?”
Weekly newsletter performance analysis
“Here are 30 rows of weekly newsletter observations with row_id, date, channel_group, delivered_messages, and open_count — please run the string normalisation and two-measure correlation reports so I can understand the data quality and metric relationships.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-08-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and correlation analysis together on newsletter data (delivered_messages vs open_count) in a single low-cost call. It is purpose-built for newsletter observation records with up to 200 rows and returns two structured analytical reports without requiring any external data sources or live lookups.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, channel_group, date, delivered_messages, open_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern mismatch
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Empty rows array (minItems: 1 not met) causes error
- Payment of 0.01 USDC not completed — 402 response returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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