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Competitor Supplied Prices — Base-100 Series + Explicit Missing-Value Fill
x402
Competitor Supplied Prices — Base-100 Series + Explicit Missing-Value Fill 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).
Computes a base-100 index series and fills missing values in competitor-supplied price/quantity data (up to 200 rows, 2 analytical reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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 per call: (1) a base-100 indexed series for the specified field (list_price or package_quantity) anchored to the chosen base row, and (2) the same dataset with missing values explicitly filled using the selected method (zero, mean, or median). Covers up to 200 input rows across any number of company groups and dates.
Example use cases
Rebasing competitor price trends
“I've got 120 rows of competitor pricing data for three company groups with dates and list prices — some prices are null. Can you normalize everything to a base-100 series starting at index 0 and fill the missing list_price values using median imputation?”
Cleaning package quantity gaps
“My competitor dataset has 80 rows with package_quantity values, but several are missing. Can you fill those missing package_quantity entries using the mean method and also generate a base-100 index series so I can track how quantities changed over time?”
Benchmarking two competitor groups
“I have competitor pricing records for group-a and group-b from October 2026, about 40 rows total, with a few null list prices. Please run the base-100 index and missing-value fill analysis using zero fill on list_price, starting the index at row 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have competitor-supplied tabular pricing or quantity data (up to 200 rows) and need both a base-100 normalized time series AND explicit null/missing value imputation in a single call. It is ideal for competitive benchmarking workflows where raw data has gaps and needs rebasing before comparison. Prefer this over general-purpose analytics tools when your data fits the specific schema (row_id, company_group, date, list_price, package_quantity) and you want two focused reports cheaply at $0.01 USDC.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index out of range (>=number of rows) causes index anchor error
- All values in target field are null — mean/median fill may be undefined
- Missing required fields (row_id, company_group, date) cause row rejection
- Non-numeric values in list_price or package_quantity fields fail type validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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