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Brand Mention Inventories — Base-100 Series + Equal-Width Histogram
x402
Brand Mention Inventories — Base-100 Series + Equal-Width Histogram 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).
Computes a Base-100 indexed time series and an equal-width histogram for brand mention inventory data (mention_count or source_count) supplied by the caller, using local analytical engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Base-100 series + Equal-width histogram: Base-100 series + Equal-width histogram 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 two analytical reports: (1) a Base-100 indexed series where each row's selected field value is normalized relative to the chosen base row, and (2) an equal-width histogram showing frequency distribution of the selected field across the specified number of bins — both computed locally from the supplied brand mention inventory rows.
Example use cases
Monthly brand share trend analysis
“I have daily mention_count and source_count records for three brand groups across Q1 2025. Can you run a Base-100 series indexed to the first row and a 5-bin histogram on mention_count so I can see how each brand's share trended and how the counts are distributed?”
Source diversity histogram for PR review
“Here are 150 rows of brand monitoring data with source_count per day for our product launch campaign. Please generate a Base-100 series starting from row 0 and an equal-width histogram with 8 bins on source_count so we can assess how diverse our coverage was.”
Competitive benchmark indexing for executives
“I need to index our competitor mention counts to a common baseline for an executive deck. Run a Base-100 series anchored to row 5 and a 10-bin histogram on mention_count for these 80 rows of brand mention inventory data across groups 'brandA' and 'brandB'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-163?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected brand mention inventory data (mention_count, source_count) and need both a normalized Base-100 time series and a histogram distribution report in a single call. It is ideal for offline or batch analytical workflows where data is already aggregated and no live data fetching, prediction, or external enrichment is needed. Prefer it over generic analytics tools when you need both reports together at low cost ($0.01 USDC for up to 200 rows).
Side effects
- Row count exceeds 200 items — request rejected
- base_index out of range for provided rows
- Invalid date format (must be YYYY-MM-DD)
- Field value is null for the base_index row, making indexing undefined
- bins parameter outside 1–30 range
- Missing required row fields (row_id, company_group, date, mention_count, source_count)
- Payment failure or insufficient USDC balance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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