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Document Readability Inputs — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Document Readability Inputs — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes a secondary-measure weighted mean and fills missing values for document readability inputs (sentence_count, word_count) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document readability inputs — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied document readability inputs records (sentence_count, word_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 independent analytical reports containing the secondary-measure weighted mean and explicit missing-value filled results for the selected field (sentence_count or word_count) across up to 200 input rows, computed locally without external data lookups.
Example use cases
Content audit weighted readability summary
“I've got 120 rows of content records with sentence_count and word_count by document group and date — compute the weighted mean for sentence_count using mean imputation for any missing values and give me both analytical reports.”
Null-safe word count aggregation
“My document dataset has some null word_count entries across 80 rows — can you fill those nulls with zero and then compute the secondary-measure weighted mean for word_count across all rows?”
Readability trend analysis by group
“I have readability data for 30 documents split into two groups from October 2026 — run the weighted mean calculation on sentence_count with median fill for missing values and return the two reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-07-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 document readability records (sentence_count, word_count) and need both a weighted mean aggregation and explicit missing-value imputation in a single cost-effective call ($0.01 USDC for 2 reports). Ideal for preprocessing readability metrics before downstream analysis when null handling is required.
Side effects
- Missing required fields (row_id, date, document_group) causes validation error
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Invalid field or method enum value causes parameter error
- Empty rows array (minItems:1 not met) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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