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Brand Mention Inventories — Base-100 Series + Keyed Dataset Comparison
x402
Brand Mention Inventories — Base-100 Series + 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).
Generates a Base-100 index series and a keyed dataset comparison report for two supplied brand mention inventory datasets (mention_count or source_count), up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Base-100 series + Keyed dataset comparison: Base-100 series + 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 two independent analytical reports: (1) a Base-100 indexed time series normalizing the chosen metric (mention_count or source_count) to a common baseline, and (2) a keyed dataset comparison highlighting row-by-row differences between the two supplied datasets. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Competitive brand share indexing
“I've got daily mention_count data for two competing brands across October — one is my brand and the other is a competitor. Can you index both to Base-100 and compare them so I can see which one is gaining ground faster?”
PR campaign lift measurement
“We ran a PR push in early October and I have before-and-after brand mention records. Can you run a Base-100 series on the mention_count field across both the pre-campaign and post-campaign datasets to show the relative lift?”
Source diversity benchmark across groups
“I have two company group datasets with source_count by date. Can you run a keyed dataset comparison plus Base-100 series on source_count so I can benchmark which group is appearing across more sources over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two brand mention inventory datasets (with mention_count and/or source_count fields) and need both a normalized Base-100 trend series and a direct keyed comparison between them — all computed from your own supplied data with no external API calls or live lookups. Ideal for offline or privacy-sensitive brand analytics where you want deterministic, reproducible results at low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — input rejected at maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date) — request rejected
- Numeric values out of allowed range — schema rejection
- Mismatched row_ids between rows and other arrays may produce incomplete comparison output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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