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Brand Mention Inventories — String Normalisation + Numeric Interval Filter
x402
Brand Mention Inventories — String Normalisation + Numeric Interval Filter 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).
Normalises brand mention inventory strings and filters rows by a numeric interval on mention_count or source_count fields, returning up to 2 reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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 up to 2 analytical reports covering: (1) string-normalised company_group and date fields and (2) rows filtered to the specified numeric interval on the chosen field (mention_count or source_count), covering up to 200 input rows. No live data, predictions, or external lookups are performed.
Example use cases
Filter brand mentions by mention count range
“I have 150 rows of brand mention data with company groups and daily mention counts — can you normalise the strings and filter to only the rows where mention_count is between 5 and 75?”
Source count interval filter for competitor tracking
“Here are my brand mention inventory records for three competitor groups. Run a numeric interval filter on source_count between 2 and 20 and normalise all the company group strings in the output.”
Clean and narrow down brand mention dataset
“I've got brand mention inventory rows for Q4 2026 across multiple company groups. Normalise the string fields and return only rows where mention_count falls between 0 and 100, giving me 2 separate reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-026?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and numeric interval filtering on brand mention inventory data (mention_count or source_count) in a single call for up to 200 rows and up to 2 reports, without requiring live lookup, external data enrichment, or prediction capabilities. It is especially suited for lightweight, local analytical processing of pre-collected brand mention datasets at minimal cost.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- minimum greater than maximum produces an empty filtered result set
- Null numeric values in the chosen filter field may be excluded from interval results
- Missing required row fields (row_id, company_group, date) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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