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Source Attribution Data Cleaner — Numeric Row Ordering + Missing-Value Fill
x402
Source Attribution Data Cleaner — Numeric Row Ordering + 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 2026-11-02).
Sorts source attribution records (cited_sources, verified_links) by numeric row order and fills missing values using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Source attribution — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied source attribution records (cited_sources, verified_links). 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 the submitted source attribution rows: one showing numerically ordered row data and one showing the dataset after explicit missing-value fill (using the chosen method — zero, mean, or median) applied to the specified field (cited_sources or verified_links). Up to 200 rows processed per call.
Example use cases
Impute missing citation counts for news audit
“I have a dataset of 150 news channel attribution records with some null cited_sources values. Sort them numerically by row and fill missing cited_sources using the median — I need both analytical reports for the audit.”
Clean verified_links with zero fill
“My source attribution table has gaps in the verified_links column across several channel groups. Can you order all 80 rows numerically and fill those missing verified_links values with zero, then produce the two reports?”
Mean-fill cited sources across channel groups
“I've got source attribution records for group-a and group-b from October 2026, some cited_sources are null. Please sort the rows numerically and replace the missing cited_sources values using mean imputation, and return two summary reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-02-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have source attribution datasets (cited_sources, verified_links) up to 200 rows that need numeric sorting and missing-value imputation using standard statistical methods (zero, mean, or median), and you want two bundled reports for a flat $0.01 USDC. It is a local, offline computation — no live lookups or external data sources are involved, making it deterministic and auditable.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, channel_group, date, cited_sources, verified_links) — request rejected
- Invalid method enum value (not zero/mean/median) — validation error
- Invalid field enum value (not cited_sources/verified_links) — validation error
- Empty rows array — minItems:1 constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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