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Crawl Response Observations — Duplicate Key Report + Adjacent Row Changes
x402
Crawl Response Observations — Duplicate Key Report + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-06).
Analyzes crawl response observation rows (status_code, response_ms) to produce a duplicate key report and adjacent row change detection report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Crawl response observations — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes for supplied crawl response observations records (status_code, response_ms). 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 independent analytical reports: (1) a duplicate key report identifying rows sharing the same key values, and (2) an adjacent row changes report showing where the selected field (status_code or response_ms) changes between consecutive rows. Covers up to 200 input rows using local analytical engines with no external lookups.
Example use cases
Duplicate key audit for crawl logs
“I have a batch of crawl response records with row_id, site_group, date, and status_code fields — can you run the duplicate key report to find any repeated row identifiers across up to 150 of these rows?”
Adjacent status code change detection
“For my web monitoring data, check where the status_code changes between consecutive rows across these crawl observations and give me the adjacent row changes report.”
Response time anomaly transitions
“Run the adjacent row changes report on the response_ms field for these crawl observation records so I can see where response times shift significantly between consecutive entries.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-01-062?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit crawl response observation datasets for duplicate row identifiers and sequential value changes in a single call. It is best suited for data quality checks on web crawl logs where you have up to 200 structured records and need both a deduplication report and a change-detection report without any live lookups or external data enrichment.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, site_group, date, status_code, response_ms) cause validation errors
- Invalid date format (must match YYYY-MM-DD) triggers schema rejection
- Invalid field enum value (must be 'status_code' or 'response_ms') returns error
- Empty rows array rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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