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Competitor Supplied Prices — Base-100 Series + Date by Category Pivot
x402
Competitor Supplied Prices — Base-100 Series + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Generates two analytical reports (Base-100 index series and date-by-category pivot) from user-supplied competitor pricing data (list_price, package_quantity) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied competitor supplied prices records (list_price, package_quantity). 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 analytical reports: (1) a Base-100 normalized index series showing how the selected field (list_price or package_quantity) changes relative to the base row across dates and company groups, and (2) a date-by-category pivot table summarizing the selected field by date and company group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Quarterly competitor price benchmarking
“Here are 150 rows of competitor list prices across four company groups from Q3 — can you index them to Base-100 starting from the first row and also pivot the data by date and company group so I can see price trends side by side?”
Package quantity trend analysis by supplier
“I've got supplier package quantity records for three competitors over the last six months. Can you normalize them to a Base-100 series and give me a date-by-category pivot table using package_quantity as the field?”
Retail price comparison across brands
“I collected retail list prices from five competing brands week by week for 200 rows. Run a Base-100 index and a date-by-category pivot on list_price so I can compare how each brand's pricing has moved relative to the baseline.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected competitor pricing data (list_price or package_quantity) and need two complementary analytical outputs — a Base-100 normalized time series and a date-by-category pivot — computed locally without any external data fetching, prediction, or live lookups. It is ideal for batch offline analysis of up to 200 competitor price records at very low cost ($0.01 USDC for both reports). Prefer alternatives if you need live price lookups, forecasting, or more than 200 rows processed in a single call.
Side effects
- Fewer than 1 row supplied — minimum of 1 row required
- More than 200 rows supplied — requests exceeding maxItems:200 are rejected
- Invalid date format — dates must match YYYY-MM-DD pattern
- base_index out of range — must be between 0 and 199 and within the actual row count
- Missing required fields (row_id, company_group, date, list_price, package_quantity) — request fails validation
- Invalid field value — only 'list_price' or 'package_quantity' are accepted
- Null numeric values in the base row may cause indexing errors
- Payment failure or insufficient USDC balance — endpoint requires 0.01 USDC per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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