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Brand Mention Inventories — Duplicate Key Report + Two-Measure Correlation
x402
Brand Mention Inventories — Duplicate Key Report + Two-Measure Correlation 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).
Runs two local analytical reports on supplied brand mention data: a duplicate key detection report and a Pearson/rank correlation between mention_count and source_count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Duplicate key report + Two-measure correlation: Duplicate key report + Two-measure correlation 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 duplicate key report listing any row_id values that appear more than once in the supplied dataset, and (2) a two-measure correlation report showing the statistical relationship (e.g. Pearson correlation coefficient) between mention_count and source_count across all provided rows. No external data is fetched; all analysis is performed locally on the submitted rows.
Example use cases
Brand data integrity audit before reporting
“I've got a spreadsheet of brand mention records with row IDs, company groups, dates, mention counts, and source counts — can you run a duplicate key check on them and also tell me how correlated the mention count is with the source count? There are around 80 rows.”
Correlation check between reach and mentions
“For my brand tracking dataset covering 'brand-a' and 'brand-b' across Q1 2025, can you calculate the correlation between how many times each brand was mentioned and how many distinct sources picked it up, and flag any duplicate row IDs?”
Marketing analyst data quality validation
“Before I finalize my brand mention report, can you scan these 120 rows for any duplicated row IDs and compute the Pearson correlation between mention_count and source_count so I can see if source diversity tracks mention volume?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-066?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you already have brand mention inventory data in hand and need quick, offline duplicate-key detection and a two-metric correlation analysis in a single $0.01 call — without needing live web lookups, predictions, or external enrichment. Ideal for data quality checks before reporting or dashboard ingestion when your dataset is 200 rows or fewer.
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) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- All mention_count or source_count values are null — correlation cannot be computed
- Fewer than 2 valid numeric rows — correlation is undefined
- Payment of 0.01 USDC not included or rejected — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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