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Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Category Frequencies
x402
Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Runs three analytical reports (record quality audit, exact row deduplication, and category frequencies) on up to 200 rows of competitor supplied price data containing list_price and package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied competitor supplied prices records (list_price, package_quantity). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports returned together: (1) a record quality audit highlighting completeness, nulls, and field-level issues across list_price and package_quantity fields; (2) an exact row deduplication report identifying and removing identical rows; (3) a category frequency report showing how often each company_group value appears across the supplied records.
Example use cases
Pre-analysis competitor price data cleanup
“I scraped competitor prices from three suppliers last month and want to clean them up before running analysis — can you check the record quality, remove exact duplicates, and show me how many records fall under each company group? I have around 120 rows with list_price and package_quantity going from 2026-09-01 to 2026-09-30.”
Weekly pricing data validation check
“Every week I get a fresh batch of competitor pricing records — can you run a quality audit on these 80 rows, flag any exact duplicate entries, and tell me the frequency breakdown by company group so I can spot which suppliers dominate the dataset?”
Competitive pricing dataset QA before reporting
“Before I hand this competitor pricing data off to the strategy team, can you do a quick quality audit on the 150 rows I've collected, identify any exact duplicate records, and summarize how many entries each company group has? Fields are list_price and package_quantity per row.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-212?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 competitor supplied pricing records (with list_price and package_quantity) and need three data quality reports in a single low-cost call: a record quality audit, exact duplicate detection, and category frequency counts. Prefer this over manual spreadsheet checks or building custom scripts when you want fast, structured analytical output without any external lookups or model predictions. Not suitable for live price lookups, forecasting, or datasets exceeding 200 rows.
Side effects
- Input array is empty (minItems: 1 violated) — validation error returned
- More than 200 rows submitted (maxItems: 200 violated) — request rejected
- date field does not match YYYY-MM-DD format — schema validation error
- row_id missing or empty string — required field error
- list_price or package_quantity out of allowed numeric range — validation error
- Payment of 0.01 USDC not processed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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