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Competitor Supplied Prices — Exact Row Deduplication + Explicit Missing-Value Fill
x402
Competitor Supplied Prices — Exact Row Deduplication + 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 2026-11-02).
Deduplicates exact rows and fills missing values in competitor supplied price records (list_price, package_quantity) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + 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 2 independent analytical reports: one covering exact row deduplication results (identifying and removing fully duplicate records) and one covering explicit missing-value fill results for the chosen field (list_price or package_quantity) using the specified method (zero, mean, or median). No live lookups or predictions are made; all processing uses local analytical engines on the supplied data.
Example use cases
Retail competitor price data cleanup
“I've got 120 rows of competitor pricing data with some duplicates and a bunch of missing list_price entries — can you deduplicate them and fill the gaps using the median so I can use this for my pricing model?”
Weekly competitor package quantity audit
“Every week I pull competitor package quantity data and there are always some duplicate records and null values — run deduplication and fill those missing package_quantity fields with the mean for this week's 80-row dataset.”
Pre-analysis competitor price normalization
“Before I run my analysis, I need to clean my competitor pricing table: strip exact duplicate rows and fill any missing list_price values with zero. The dataset has about 175 rows with company_group, date, list_price, and package_quantity columns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-054?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a batch of up to 200 competitor pricing rows with potential duplicates and/or missing numeric values (list_price or package_quantity) and need both a deduplication report and a missing-value fill report in a single call. It is ideal for pre-analysis data cleaning pipelines where you want deterministic, reproducible results using local computation with no external lookups or model predictions. Prefer this over general-purpose data tools when the specific combination of exact row deduplication and explicit missing-value fill for competitor price data is needed together at minimal cost.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unsupported fill method or field enum value — rejected
- Empty input array — rejected
- Numeric values outside allowed range (-1T to +1T) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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