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Brand Mention Inventories — String Normalisation + Base-100 Series
x402
Brand Mention Inventories — String Normalisation + Base-100 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).
Normalises string fields and computes Base-100 indexed time series for brand mention inventory data (mention_count, source_count) across up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — String normalisation + Base-100 series: String normalisation + Base-100 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
Returns two independent analytical reports per call: (1) string-normalized versions of the supplied brand mention inventory records, and (2) a Base-100 indexed time series for the selected numeric field (mention_count or source_count), rebased from the specified row index. Both reports are computed locally with no external lookups.
Example use cases
Benchmark brand mentions over time
“I have 60 rows of daily brand mention counts for three company groups spanning Q3. Can you normalize the strings and give me a base-100 index series for mention_count starting from the first row so I can compare their relative growth?”
Source diversity indexing for PR report
“I want to track how our source_count for brand coverage has grown relative to a baseline. Can you run string normalization and produce a base-100 series on source_count for my 120-row inventory dataset starting at row index 0?”
Multi-brand competitive mention analysis
“I've got mention_count data for four competitor brands across 90 daily rows. Please normalize the data and index it to base-100 from row 0 so I can see which brand's mentions grew the fastest relative to their starting point.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have brand mention inventory data (mention_count, source_count) and need both string normalization and Base-100 indexed time series in a single cost-effective call. It handles up to 200 rows and delivers two reports for $0.01 USDC. Prefer this over generic analytics tools when your use case is specifically brand mention tracking across named company groups over time, and you need a rebased comparative index rather than raw aggregates.
Side effects
- More than 200 rows supplied — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- base_index out of range (>=number of rows) causes indexing error
- Null values in numeric fields may produce gaps or errors in Base-100 series
- Missing required fields (row_id, company_group, date) cause schema validation failure
- Empty rows array returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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