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Product Photography Data Quality — Duplicate Key Report + Numeric Distribution
x402
Product Photography Data Quality — Duplicate Key Report + Numeric Distribution 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).
Analyzes up to 200 product photography records and returns two local analytical reports: a duplicate key report and a numeric distribution for either required_images or completed_images.
Price / call$0.01
Success—
StatusUnknown
How this service works
Product photography — Duplicate key report + Numeric distribution: Duplicate key report + Numeric distribution for supplied product photography records (required_images, completed_images). 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 any repeated row_id values across the submitted records, and (2) a numeric distribution summary (e.g. min, max, mean, percentile buckets) for the selected field — either required_images or completed_images. No external data is fetched; all analysis runs on the submitted rows only.
Example use cases
Detecting duplicate photo tracking entries
“I have a batch of product photography records from our retail stores and I want to check if there are any duplicate row IDs creeping in — can you run a duplicate key report on these rows and also show me the numeric distribution of required_images? Here's the data: row-1 group-a 2026-10-01 required=10 completed=1, row-2 group-b 2026-10-02 required=20 completed=2, row-1 group-a 2026-10-03 required=15 completed=3.”
Auditing completed images spread across stores
“Can you analyze the spread of completed_images values across our store groups? I want both a duplicate key report and a numeric distribution for the completed_images field — here are my records: row-1 group-a 2026-10-01 required=50 completed=10, row-2 group-b 2026-10-02 required=80 completed=60, row-3 group-c 2026-10-03 required=40 completed=5, row-4 group-a 2026-10-04 required=70 completed=70.”
Weekly photo backlog quality check
“Run a data quality check on our weekly product photography backlog — I need a duplicate key report to spot repeated entries and a numeric distribution of required_images so I can see how the workload is spread. Data: row-10 group-east 2026-10-07 required=100 completed=80, row-11 group-west 2026-10-07 required=200 completed=150, row-12 group-east 2026-10-08 required=50 completed=50, row-10 group-east 2026-10-09 required=100 completed=90.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-09-055?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 product photography records and need both duplicate key detection and numeric distribution in a single call without any external lookups or predictions. It is ideal for lightweight, local data quality audits on retail photo tracking datasets where you want fast, deterministic results on supplied data only. Prefer alternatives if you need more than 200 rows, live data enrichment, or reports beyond duplicate detection and numeric distribution.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, store_group, required_images, completed_images) causes schema rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Submitting an empty rows array fails minItems constraint
- Invalid field enum value other than 'required_images' or 'completed_images' causes rejection
- Payment of less than 0.01 USDC results in 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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