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Glossary Coverage — Exact Row Deduplication + Explicit Missing-Value Fill
x402
Glossary Coverage — Exact Row Deduplication + 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 2026-10-26).
Deduplicates rows and fills missing values in glossary coverage records containing covered_terms and required_terms fields, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Glossary coverage — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied glossary coverage records (covered_terms, required_terms). 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 analytical reports covering: (1) exact row deduplication results showing which rows were removed as duplicates, and (2) explicit missing-value fill results showing which cells in the specified field (covered_terms or required_terms) were imputed and what values were assigned using the chosen method (zero, mean, or median). All processing is done locally with no external lookups.
Example use cases
Clean glossary audit data before reporting
“I have a glossary coverage export with some duplicate rows and a few missing covered_terms values — deduplicate it exactly and fill the blanks using median so I can generate a clean coverage report. Here are my rows with row_id, document_group, date, covered_terms, and required_terms.”
Impute missing required_terms for multiple document groups
“My glossary tracking table has nulls in the required_terms column across several document groups. Can you fill those missing required_terms values using the mean method and also deduplicate any repeated rows? I have about 80 rows total.”
Prepare terminology coverage data for compliance review
“Before our compliance review, I need to clean up our glossary coverage records — remove any exact duplicate rows and use zero-fill for any missing covered_terms. I'll send you the full dataset of around 150 rows with row_id, date, document_group, covered_terms, and required_terms fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-20-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to clean glossary or terminology coverage datasets by removing exact duplicate rows and imputing missing numeric values (covered_terms or required_terms) in a single call. It is ideal for data preparation pipelines where glossary coverage records need deduplication and null-filling before downstream analysis. Prefer this over general-purpose data tools when working specifically with covered_terms/required_terms structures and needing two combined reports in one low-cost call.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Missing required fields (row_id, document_group, date) cause schema validation errors
- Numeric values outside ±1,000,000,000,000 range rejected
- Invalid fill method or field enum value causes parameter error
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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