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Brand Mention Inventories — Exact Row Deduplication + Trailing Mean Series
x402
Brand Mention Inventories — Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Deduplicates brand mention inventory records and computes trailing mean series for mention_count or source_count fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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
Two analytical reports: (1) a deduplicated version of the supplied brand mention rows with exact duplicate records removed, and (2) a trailing mean series computed over the specified numeric field (mention_count or source_count) using the given window size across the time-ordered data.
Example use cases
Cleaning duplicate brand mention records
“I have 120 rows of brand mention inventory data with company_group, date, mention_count, and source_count — can you deduplicate the exact duplicate rows and also give me a trailing mean series for mention_count using a window of 4?”
Smoothing source count trends for PR analysis
“Run a trailing mean series with window size 5 on the source_count field for my brand mention dataset — I've got around 80 rows covering multiple company groups — and also deduplicate any exact duplicate rows while you're at it.”
Auditing brand mention data quality before reporting
“Before I send this brand mention report to stakeholders, can you deduplicate any exact duplicate rows and compute a trailing mean series for mention_count with a window of 2 across my 60-row dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-045?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 brand mention inventory records and need both exact row deduplication and a trailing mean series computed together in a single call at minimal cost ($0.01 USDC for both reports). It is ideal for lightweight, offline analytical cleaning of brand mention time series data without requiring an external BI tool or live data connection.
Side effects
- Input exceeds 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors
- Invalid date format (must be YYYY-MM-DD) triggers schema rejection
- Window size outside 2–200 range causes parameter error
- Null values in selected metric field may affect trailing mean calculation accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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