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Brand Mention Inventories — Numeric Interval Filter + Base-100 Series
x402
Brand Mention Inventories — Numeric Interval Filter + 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 2026-10-20).
Filters brand mention inventory rows by a numeric range and computes a Base-100 index series for mention_count or source_count, delivering two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Numeric interval filter + Base-100 series: Numeric interval filter + 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 analytical reports: (1) the subset of input rows whose selected numeric field (mention_count or source_count) falls within the specified [minimum, maximum] interval, and (2) a Base-100 index series for that field anchored at the specified base_index row, allowing relative trend comparison across up to 200 brand mention inventory records.
Example use cases
Filtering outlier mention spikes from brand data
“I've got 150 rows of daily brand mention data across three company groups. Can you filter to only keep rows where mention_count is between 5 and 500, then index the mention_count series using row index 0 as the base-100 starting point?”
Benchmarking source count growth over time
“Here's my brand mention inventory for the past quarter — please filter rows where source_count is between 2 and 50, and give me a Base-100 series on source_count starting from the first row so I can see relative growth.”
Comparing normalized mention trends across company groups
“I want to compare mention_count trends for group-a and group-b. Filter my rows to mention_count between 0 and 100, then compute a Base-100 index using row index 2 as the baseline so I can see relative performance from that point forward.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-128?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected brand mention inventory data (mention_count, source_count) that you want to (a) restrict to a meaningful numeric range and (b) normalize into a Base-100 trend series — all in a single cheap call ($0.01 USDC). It is purely analytical on supplied data with no external lookups, making it deterministic and fast. Prefer it over general-purpose data tools when you specifically need both interval filtering and base-indexing on brand mention metrics together.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maxItems limit
- base_index references a row index out of range of the supplied array
- Field value contains nulls at the base_index row — division by zero in indexing
- Date strings not matching YYYY-MM-DD pattern — schema validation error
- minimum greater than maximum — may return empty filtered set with no error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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