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Competitor Supplied Prices — Base-100 Series + Keyed Dataset Comparison
x402
Competitor Supplied Prices — Base-100 Series + 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 2026-10-15).
Generates two analytical reports (Base-100 indexed series and keyed dataset comparison) for up to 200 rows of competitor price data across list_price or package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison 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 independent analytical reports: (1) a Base-100 indexed time series normalizing the selected field (list_price or package_quantity) relative to a baseline, and (2) a keyed dataset comparison showing differences between the primary and secondary supplied datasets, both computed locally from the submitted rows with no external lookups.
Example use cases
Benchmark rival retailer list prices
“I've collected list prices from three competitor groups over the past quarter — can you index them to a Base-100 series and run a keyed comparison between our main dataset and last quarter's prices, using the list_price field, so I can see how each group's pricing shifted?”
Track package quantity trends across brands
“I have two batches of competitor package quantity data (about 150 rows each), grouped by company — please run the Base-100 series and keyed dataset comparison on the package_quantity field so I can see which brands changed their pack sizes the most.”
Compare this year vs last year competitor pricing
“Here are two datasets of competitor prices — one from this year and one from last year, each with row_id, date, company_group, and list_price — can you generate the Base-100 indexed series and a keyed comparison report on list_price to show how pricing evolved across competitor groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already-collected competitor price data (up to 200 rows) and need both a normalized Base-100 time series and a keyed side-by-side dataset comparison in a single low-cost call. It is ideal when you want offline, local computation with no external data lookups, predictions, or professional assessments — just structured analytical output on your own supplied data.
Side effects
- Exceeds 200-row limit — request rejected or truncated
- Missing required fields (row_id, company_group, date, list_price, package_quantity) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema rejection
- field selector not one of 'list_price' or 'package_quantity' — enum validation failure
- Empty rows array — minimum 1 item required
- Values outside numeric bounds (±1,000,000,000,000) — rejected
- Mismatched row_ids between primary and other dataset — keyed comparison may produce empty or partial results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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