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Publication Proofing — Numeric Interval Filter + Base-100 Series
x402
Publication Proofing — Numeric Interval Filter + 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 2026-10-26).
Applies a numeric interval filter and computes a Base-100 index series on publication proofing data (checked_pages, flagged_pages) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Publication proofing — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series for supplied publication proofing records (checked_pages, flagged_pages). 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 reports based on the supplied proofing rows: (1) rows filtered to those where the selected numeric field (checked_pages or flagged_pages) falls within the specified [minimum, maximum] interval; (2) a Base-100 index series for the selected field anchored at the specified base_index row. All computation is local with no external lookups. Up to 200 input rows supported.
Example use cases
Trend indexing for editorial review cycles
“Here are 80 rows of our monthly publication proofing data with checked_pages and flagged_pages. Can you build a Base-100 index series for flagged_pages anchored to row index 0, and also filter out any rows where flagged_pages is outside the range 0 to 50?”
Flagging anomalous document groups
“I've got proofing records across three document groups — can you filter the checked_pages field to only keep rows between 10 and 200, and give me the Base-100 series so I can spot which groups are deviating from the baseline?”
Monthly proofreading quality report
“Run two analytical reports on these 120 publication proofing rows: first, filter checked_pages to the interval 20 to 500; second, produce a Base-100 series for checked_pages using row index 3 as the base. I need this for our monthly quality summary.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-18-128?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific analytical operations — numeric interval filtering and Base-100 index series — applied to publication proofing records (checked_pages, flagged_pages) in a single low-cost call. Prefer it over general analytics platforms when your dataset is self-contained (up to 200 rows), you want no external data lookups or AI predictions, and you need deterministic local computation. It is purpose-built for editorial/proofing workflows rather than generic tabular data tools.
Side effects
- Fewer than 1 row supplied — minimum item count not met
- More than 200 rows supplied — exceeds maxItems limit
- Date field does not match YYYY-MM-DD pattern — validation error
- row_id missing or empty — required field violation
- minimum greater than maximum — may produce empty interval filter result
- base_index out of range for actual number of rows supplied — index error
- checked_pages or flagged_pages values outside ±1,000,000,000,000 — schema violation
- field enum value not 'checked_pages' or 'flagged_pages' — invalid enum error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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