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Competitor Supplied Prices — Grouped Numeric Summary + Keyed Dataset Comparison
x402
Competitor Supplied Prices — Grouped Numeric Summary + 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).
Analyzes up to 200 rows of competitor price data, producing a grouped numeric summary and a keyed dataset comparison for list_price or package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + 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 grouped numeric summary of the selected field (list_price or package_quantity) broken down by company_group, including statistics such as mean, min, max, and count per group; and (2) a keyed dataset comparison report that matches rows between the primary and comparison datasets by row_id and highlights differences in the selected field. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Retail competitor price benchmarking
“I've collected list prices from three competitor groups over the past month — here are two datasets of up to 200 rows each with company_group, date, and list_price fields. Can you give me a grouped numeric summary and compare the two datasets keyed by row_id on list_price?”
Package quantity variance analysis
“I have two batches of competitor package quantity records, each grouped by company and dated, and I want to see a grouped numeric summary plus a side-by-side comparison of the two datasets on the package_quantity field — can you run those two reports?”
Pricing audit across supplier groups
“I need to audit list prices from two different supplier snapshots — both have about 150 rows with company_group, date, row_id, and list_price. Please generate a grouped numeric summary and a keyed comparison report so I can spot where prices shifted between the two snapshots.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-098?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of competitor pricing data in two datasets and need both a grouped statistical summary by company and a row-keyed comparison between the two datasets in a single call for $0.01 USDC. It is best suited for offline/batch analytical work on data you already possess — not for live price lookups, predictions, or data enrichment from external sources.
Side effects
- Rows array exceeds 200 items — request rejected or truncated
- Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row causes validation error
- Invalid date format (must match YYYY-MM-DD pattern) results in schema rejection
- Mismatched row_ids between primary and comparison datasets reduce keyed comparison coverage
- Null values in the selected numeric field may reduce statistical completeness
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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