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Page Extraction Coverage — Exact Row Deduplication + Keyed Dataset Comparison
x402
Page Extraction Coverage — Exact Row Deduplication + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Deduplicates page extraction coverage records and compares two keyed datasets of extracted vs. expected fields, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Page extraction coverage — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + Keyed dataset comparison for supplied page extraction coverage records (extracted_fields, expected_fields). 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: (1) an exact row deduplication summary identifying duplicate records within the submitted dataset, and (2) a keyed dataset comparison highlighting rows that differ between the primary and secondary dataset based on row_id keys, covering fields like extracted_fields and expected_fields. No external lookups or predictions are made — analysis is performed locally on the supplied data.
Example use cases
QA check on scraper output
“I've got two runs of page extraction data for group-a and group-b, each with row IDs, dates, and counts of extracted vs expected fields — can you deduplicate both datasets and show me which rows changed between the two runs?”
Coverage gap detection across site groups
“Here are 150 extraction records from our crawl pipeline with site_group, date, extracted_fields, and expected_fields — please deduplicate them and compare against our baseline dataset to find where coverage dropped.”
Reconciling two extraction batches
“I pulled page extraction coverage from two different systems — both have the same row IDs but possibly different extracted_fields values — can you deduplicate each set and give me a keyed comparison so I know which rows diverge?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-02-053?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to deduplicate page extraction coverage records and simultaneously compare two keyed datasets of the same schema — particularly when working with web scraping pipelines where extracted vs. expected field counts must be reconciled across site groups and dates. Ideal for small-to-medium datasets (up to 200 rows) where you want two independent analytical reports in a single $0.01 call without any external API dependencies.
Side effects
- Rows exceeding 200 items will be rejected (maxItems constraint)
- Missing required fields (row_id, site_group, date, extracted_fields, expected_fields) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside ±1,000,000,000,000 range will be rejected
- Empty rows array (minItems: 1) will fail validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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