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News Archive Completeness — Record Quality Audit + Exact Row Deduplication
x402
News Archive Completeness — Record Quality Audit + Exact Row Deduplication 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).
Audits record quality and detects exact duplicate rows in news archive completeness data (indexed_items vs expected_items) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
News archive completeness — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication for supplied news archive completeness records (indexed_items, expected_items). 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 independent analytical reports: (1) a record quality audit covering field completeness, value ranges, and anomalies for indexed_items and expected_items; (2) an exact row deduplication report identifying rows with identical field values across the submitted dataset. No external data is fetched — analysis is performed entirely on the submitted rows.
Example use cases
Daily news indexing pipeline health check
“I have a batch of 120 rows from our daily news archive completeness tracker — each row has a row_id, channel_group, date, indexed_items, and expected_items. Can you run a quality audit and flag any exact duplicate rows before we load them into our reporting system?”
Detecting duplicate rows after data ingestion
“We just ingested news archive data from multiple sources and I suspect there are duplicate records mixed in. Can you check these 80 rows for exact duplicates and also give me a record quality report on the indexed_items and expected_items fields?”
Pre-analysis cleanup of news coverage data
“Before I hand off this news archive completeness dataset to the analytics team, I need to make sure the records are clean. Can you audit the quality and find any exact duplicate rows across these 60 entries — the data has channel_group, date, indexed_items, and expected_items columns?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-23-002?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate and deduplicate news archive completeness records (indexed_items vs expected_items) in a single low-cost call. It is ideal for pre-processing pipelines where data integrity must be confirmed before downstream analysis, and when you have up to 200 rows to inspect at once. Prefer this over generic data-quality tools when your data specifically tracks news indexing completeness by channel group and date.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds batch limit, request rejected
- Missing required fields (row_id, channel_group, date, indexed_items, expected_items) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- row_id exceeds 80-character limit — schema validation failure
- numeric values outside allowed range (±1,000,000,000,000) — schema validation failure
- Payment of 0.01 USDC not provided or declined — 402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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