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Brand Mention Inventories — Base-100 Series + Secondary-Measure Weighted Mean
x402
Brand Mention Inventories — Base-100 Series + Secondary-Measure Weighted Mean 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 index series and a source_count-weighted mean for supplied brand mention inventory data (mention_count, source_count), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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 mention_count (or source_count) is expressed relative to the baseline row scaled to 100, and (2) a source_count-weighted mean of the selected field — both computed locally from the supplied data with no external lookup.
Example use cases
Indexing competitor brand mentions over time
“I have weekly brand mention counts and source counts for three competitor groups over the last quarter — can you normalize them all to a Base-100 index starting from the first week and also give me a source-count-weighted mean so I can see which brand has the strongest weighted presence?”
Benchmarking a product launch mention spike
“Here are daily mention_count and source_count rows for our product launch campaign across two company groups. Index everything to Base-100 starting from launch day (row 0) and compute the weighted mean using source_count so I can see how the spike looks on a common scale.”
Monthly brand health report for marketing team
“I've got up to 150 rows of monthly brand mention inventory data split across four company groups. Run a Base-100 series and a secondary-measure weighted mean on mention_count with source_count as the weight — I need both reports for the deck.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-166?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 Base-100 normalized time-series index and a source-count-weighted mean in a single call — without requiring live data lookup, external enrichment, or prediction. Ideal for offline batch reporting on up to 200 rows across multiple company groups.
Side effects
- Missing required fields (row_id, date, company_group, mention_count, source_count) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index pointing to a row with a zero or null value may produce division errors or undefined indexed output
- Null numeric values for mention_count or source_count may produce NaN or undefined weighted mean results
- Payment of 0.01 USDC not provided or rejected will block the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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