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Brand Mention Inventories — Exact Row Deduplication + Explicit Missing-Value Fill
x402
Brand Mention Inventories — 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 2026-10-16).
Deduplicates exact duplicate rows and fills missing values (mention_count or source_count) in brand mention inventory datasets using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied brand mention inventories records (mention_count, source_count). 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 analytical reports on the supplied brand mention inventory dataset (up to 200 rows) after exact duplicate rows have been removed and missing values in the specified field (mention_count or source_count) have been filled using the chosen method (zero, mean, or median). No external lookups or predictions are made; all processing uses local analytical engines.
Example use cases
Clean brand monitoring export before analysis
“I exported our brand mention inventory for Q4 and it has some duplicate rows and a bunch of null mention_count entries. Can you deduplicate the exact duplicates and fill the missing mention_count using the median method? Here are up to 200 rows.”
Impute missing source counts with zero fill
“I have a dataset of brand mentions by company group and date, but source_count is missing for several rows. Can you remove any exact duplicate rows and fill all missing source_count values with zero?”
Prepare brand data for two-team comparison reports
“We need two clean analytical reports on our brand mention inventory — please deduplicate the rows exactly and fill in any missing mention_count values using the mean, then give us both reports from the same dataset of up to 200 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have brand mention inventory records (with mention_count and/or source_count fields) that contain exact duplicate rows and/or missing numeric values, and you need both cleaned in a single pass with configurable imputation strategy (zero, mean, or median). Best suited for small-to-medium datasets up to 200 rows where you want two independent summary reports from the same cleaned data without any external API calls or live lookups.
Side effects
- Input array is empty (minItems: 1 violated)
- More than 200 rows supplied (maxItems: 200 exceeded)
- row_id missing or empty string (minLength: 1 violated)
- date field does not match YYYY-MM-DD pattern
- numeric fields outside allowed range (±1,000,000,000,000)
- Invalid enum value for 'field' or 'method' parameters
- Payment of 0.01 USDC not fulfilled (x402 payment required)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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