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Competitor Supplied Prices — Adjacent Row Changes + Base-100 Series
x402
Competitor Supplied Prices — Adjacent Row Changes + Base-100 Series 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).
Computes adjacent row changes and base-100 index series for up to 200 rows of competitor price and package quantity data, returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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
Two analytical reports: (1) adjacent row changes showing the difference in the selected field (list_price or package_quantity) between each consecutive row, and (2) a base-100 index series normalizing values relative to the specified base row, both computed locally on the supplied data.
Example use cases
Track competitor list price fluctuations
“I have a table of competitor prices by date and company group — can you calculate how the list_price changed between each consecutive row and also build a base-100 index starting from the first row so I can see relative movements?”
Index package quantity trends to a baseline
“Here are 50 rows of competitor package quantity data across two company groups from the past two months. Can you run a base-100 series anchored to row 10 on package_quantity plus show me the adjacent row changes?”
Compare rival pricing across groups over a quarter
“I've collected competitor pricing records for three company groups over Q3 — about 150 rows total with dates and list prices. Can you give me both the row-to-row price changes and a base-100 index series starting from the first row so I can benchmark them against each other?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-155?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected competitor pricing data and need fast, local analytical computation — specifically adjacent row-to-row change detection and base-100 index normalization — without needing live data lookup, external enrichment, or predictions. Ideal for price trend benchmarking and relative movement analysis on batches of up to 200 rows at very low cost.
Side effects
- Row count exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) or beyond actual row count — error or unexpected behavior
- Null values in the selected numeric field may produce null or skipped change entries
- Payment of 0.01 USDC not completed — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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