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Brand Mention Inventories — Numeric Interval Filter + Keyed Dataset Comparison
x402
Brand Mention Inventories — Numeric Interval Filter + Keyed Dataset Comparison 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).
Applies numeric interval filtering and keyed dataset comparison to two supplied brand mention inventory datasets (mention_count, source_count) for up to 200 rows each, producing 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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 2 independent analytical reports: one applying a numeric interval filter to the specified field (mention_count or source_count) across the primary dataset, and one performing a keyed dataset comparison between the primary and secondary datasets, both covering up to 200 rows and computed using local analytical engines with no external lookups.
Example use cases
Competitive brand mention comparison
“I have two brand mention inventory datasets — one for our brand and one for our competitor, each with up to 150 rows covering mention_count and source_count by date and company group. Filter mention_count by numeric interval and compare the two datasets by company_group key so I can see where our competitor outperforms us.”
Monthly source count interval analysis
“Here are two months of brand mention records with source_count and mention_count fields. Run a numeric interval filter on source_count and compare the two monthly datasets by row key — I need 2 separate reports to see how our media coverage range changed month over month.”
Multi-group mention range segmentation
“I've got two brand mention inventory snapshots for group-a and group-b, each with about 80 rows. Can you filter the mention_count values by numeric interval and do a keyed comparison between the two snapshots so I can identify which groups consistently fall within the same mention range?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two pre-collected brand mention inventory datasets (up to 200 rows each) and need both a numeric interval filter report and a keyed comparison report in a single low-cost call. It is ideal for offline/batch analytical tasks on supplied data where no live data fetching, prediction, or external enrichment is required. Prefer it over general analytics tools when working specifically with mention_count and source_count fields organized by company_group and date.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, mention_count, source_count) on any row causes validation failure
- Invalid date format (must be YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) will fail validation
- Empty rows array (minItems:1 not met) causes error
- Invalid field enum value (must be mention_count or source_count) causes rejection
- Payment of 0.01 USDC not provided causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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