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Source Attribution Analytics — Exact Row Deduplication + Trailing Mean Series
x402
Source Attribution Analytics — Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Deduplicates source attribution records by exact row match and computes a trailing mean time series over cited_sources or verified_links metrics for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Source attribution — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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
Returns two analytical reports: (1) an exact-row deduplication report identifying and removing fully duplicate records from the supplied source attribution rows, and (2) a trailing mean time series computed over the selected field (cited_sources or verified_links) with the specified rolling window, both derived entirely from the supplied data with no external lookups.
Example use cases
News channel citation deduplication
“I have 80 rows of news source attribution data with row IDs, dates, channel groups, cited_sources counts, and verified_links counts — can you deduplicate the exact duplicate rows and then compute a trailing mean series with a window of 4 for cited_sources?”
Verified links rolling average audit
“Run a deduplication check and a trailing mean analysis with window size 5 on verified_links for my source attribution records — I have about 120 rows across channel groups like 'editorial' and 'syndicated', each with a date and row_id.”
Multi-channel attribution trend analysis
“I want to clean up my attribution dataset by removing exact duplicate rows and then see a rolling 7-day trailing mean for cited_sources across my channel groups — my dataset has around 150 rows dated from 2025-01-01 onward with row IDs and channel groups like 'broadcast' and 'digital'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-02-045?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 source attribution records (with cited_sources and/or verified_links metrics) and need both an exact duplicate row removal pass and a rolling/trailing mean time series in a single low-cost call. It is ideal for news, media, or content analytics pipelines that need lightweight data quality and trend analysis on supplied data without any external API calls or predictions.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Window size less than 2 or greater than 200 — validation error
- Missing required fields (row_id, channel_group, date, cited_sources, verified_links) — schema validation error
- cited_sources or verified_links values outside allowed numeric range — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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