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Brand Mention Inventories — Trailing Mean Series + Keyed Dataset Comparison
x402
Brand Mention Inventories — Trailing Mean 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).
Computes trailing mean time series and performs keyed dataset comparison for two sets of brand mention inventory records (mention_count, source_count) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Trailing mean series + Keyed dataset comparison: Trailing mean 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 trailing mean time series showing rolling averages of the selected metric (mention_count or source_count) over the supplied rows, and (2) a keyed dataset comparison contrasting the primary and secondary input datasets row-by-row on shared keys. Both reports are computed locally with no external data fetched.
Example use cases
Competitor brand mention trend analysis
“I've got daily mention_count and source_count records for two competing brands over the past quarter — can you compute the trailing mean series and run a keyed comparison between the two datasets so I can see which brand is gaining momentum?”
PR campaign performance review
“Here are two sets of brand mention inventory rows before and after our PR campaign — please run the trailing mean on mention_count and compare the two datasets by key so I can see how our media coverage changed.”
Source diversity benchmarking across company groups
“I have brand mention data for group-a and group-b across several weeks and I want to compare the source_count trailing means between the two groups using a keyed dataset comparison — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected brand mention inventory data (up to 200 rows) and need both a trailing mean time series and a keyed comparison between two datasets in a single low-cost call ($0.01 USDC). It is best suited for offline/batch analytical workflows where no live data lookup, prediction, or external enrichment is needed — purely local statistical computation on supplied records.
Side effects
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors
- More than 200 rows in either dataset exceeds the limit and may be rejected
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Empty rows array (minItems: 1) causes request rejection
- Numeric values outside the allowed range (-1e12 to 1e12) fail validation
- Payment failure via x402 protocol blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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