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Brand Mention Inventories — String Normalisation + Daily Sum Series
x402
Brand Mention Inventories — String Normalisation + Daily Sum Series 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).
Normalises brand mention strings and computes daily sum time series for supplied brand mention inventory records (mention_count, source_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — String normalisation + Daily sum series: String normalisation + Daily sum series 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
Two analytical reports derived from the supplied rows: (1) a string normalisation report cleaning company_group and related text fields, and (2) a daily sum time series for the selected metric (mention_count or source_count) aggregated across all company groups by date. No external data is fetched; computation is performed entirely on the submitted rows.
Example use cases
Daily brand mention rollup by group
“I have 120 rows of brand mention inventory data with company_group, date, mention_count, and source_count — can you normalise the strings and give me a daily sum series for mention_count so I can see totals per day?”
Source count aggregation for media audit
“Run the string normalisation and daily sum series on my brand mention records using source_count as the field — I've got about 80 rows covering two company groups across October.”
Standardise messy company names in mention data
“My brand mention export has inconsistent company_group labels and I need both string normalisation and a daily sum series for mention_count — can you process all 200 rows and give me the two reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-027?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have pre-collected brand mention inventory records and need two lightweight offline analytical operations — string normalisation and daily sum aggregation — applied together in a single call for a flat fee. It is ideal for batch post-processing of scraped or exported mention data without needing a live lookup service. Prefer this over heavier analytics pipelines when your dataset is under 200 rows and you only need these two specific report types.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds limit, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date, mention_count, source_count) — rejected
- Numeric values outside allowed range — schema validation failure
- Invalid field enum value (not mention_count or source_count) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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