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Brand Mention Inventories — Exact Row Deduplication + Keyed Dataset Comparison
x402
Brand Mention Inventories — Exact Row Deduplication + 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).
Deduplicates brand mention inventory rows exactly and compares two keyed datasets of mention/source counts, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + 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 analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the primary dataset, and (2) a keyed dataset comparison report highlighting rows that differ between the primary and secondary datasets on mention_count and/or source_count fields, all processed locally without external lookups.
Example use cases
Weekly brand mention audit deduplication
“I collected brand mention inventory data for groups A and B over the past week and I think there are some exact duplicate rows in my dataset — can you deduplicate the rows and also compare this week's data against last week's by row_id to see where mention_count or source_count changed?”
Merging two vendor brand mention feeds
“I have brand mention counts from two different vendor feeds for the same company groups and dates — please deduplicate any exact repeated rows in the primary feed and compare both feeds side-by-side by row key so I can see which records differ.”
QA check before brand report publication
“Before I publish our monthly brand mention report, can you run an exact-row deduplication check on our inventory data and do a keyed comparison against last month's baseline to flag any discrepancies in mention_count and source_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-053?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need both exact-row deduplication and keyed dataset comparison for brand mention inventory data (mention_count, source_count) in a single paid call. It is ideal for batch data quality checks on up to 200 rows where no external lookups, predictions, or live data are needed — purely local analytical processing. Choose it over generic deduplication tools when your data is specifically structured around company_group, date, mention_count, and source_count fields.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, mention_count, source_count) on any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Empty input array — minimum 1 item required
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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