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Competitor Supplied Prices — Equal-Width Histogram + Missing Value Fill
x402
Competitor Supplied Prices — Equal-Width Histogram + 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 2026-10-15).
Generates an equal-width histogram and fills missing values for competitor price data (list_price, package_quantity) across up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + 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
Two analytical reports: (1) an equal-width histogram showing the frequency distribution of the selected numeric field (list_price or package_quantity) across the specified number of bins, and (2) a report of explicit missing-value fills showing which rows had nulls and what values were imputed using the chosen method (zero, mean, or median). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Competitor pricing distribution audit
“I've collected 80 rows of competitor list prices from our market scan, some entries are missing. Can you run an equal-width histogram with 8 bins and fill any missing list_price values using the mean so I can see how competitor prices are distributed?”
Package quantity range analysis
“I need a histogram of competitor package quantities across 150 supplier records — use 5 bins and fill nulls with zero. Tell me how the package_quantity field is spread across groups.”
Multi-group price gap identification
“We have 200 rows of competitor pricing data split across two company groups with some null list_prices — run a 10-bin equal-width histogram and use median imputation for the missing values so I can compare the two groups' price distributions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-175?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of competitor price records (up to 200 rows) and need both a distribution summary (histogram) and missing-value imputation in a single cheap call ($0.01 USDC). It is ideal for offline/batch analytical workflows where no live data lookup or prediction is needed — just local statistical summarization and data cleaning of supplied records. Prefer this over general-purpose data tools when you need the specific combination of equal-width binning plus explicit null-fill in one bundled report.
Side effects
- Rows array empty or exceeds 200 items — validation error
- Invalid bin count outside 1–30 range — schema rejection
- Missing required fields (row_id, company_group, date) in any row — request rejected
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid fill method value not in [zero, mean, median] — enum rejection
- Invalid field value not in [list_price, package_quantity] — enum rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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