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Newsletter Preparation — String Normalisation + Base-100 Series
x402
Newsletter Preparation — String Normalisation + Base-100 Series 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 Base-100 index series analytics on newsletter preparation data (completed_items, planned_items) for up to 200 rows, returning two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Newsletter preparation — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied newsletter preparation records (completed_items, planned_items). 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
Two independent analytical reports: (1) a string normalisation report covering the text fields in the supplied newsletter preparation rows, and (2) a Base-100 index series for the selected numeric field (completed_items or planned_items) anchored to the specified base row — all computed locally with no external lookups or predictions, for up to 200 input rows.
Example use cases
Weekly newsletter completion benchmarking
“I have my newsletter prep records for the past month across two document groups — can you normalise the strings and generate a Base-100 series for completed_items starting from the first row so I can see how completions trended relative to that baseline?”
Planned items indexing across newsletter groups
“Run the string normalisation and Base-100 index reports on my newsletter planning data, using planned_items as the field and row 2 as the base index — here are my 8 rows across groups alpha and beta with dates starting 2026-09-01.”
Newsletter audit before publication
“Before we send this newsletter, can you clean up the string data and produce a Base-100 series for completed_items across my 12 newsletter preparation records dated from 2026-11-01 to 2026-11-12, with document groups 'editorial' and 'sponsored', using row 0 as the base?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-23-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a Base-100 index series computed together on newsletter preparation data in a single low-cost call ($0.01 USDC for both reports). It is ideal for offline/batch analytical workflows where no live data lookup, external enrichment, or prediction is needed. Prefer it over general analytics APIs when your data fits the newsletter preparation schema (completed_items, planned_items, document_group, date) and you want reproducible, locally computed results without side effects.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, document_group, date, completed_items, planned_items) — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- base_index out of range (must be 0–199 and within row count) — error returned
- field value not in enum ['completed_items','planned_items'] — rejected
- Payment not fulfilled via x402 protocol — 402 response, no report generated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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