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US Brand Signal Metrics Aggregator
x402
US Brand Signal Metrics Aggregator is a paid API for AI agents from api.timzinin.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Aggregates and summarizes brand signal metrics for US brands, returning counts, severities, confidence scores, and event-type breakdowns across monitoring sources.
Price / call$0.05
Success—
StatusUnknown
How this service works
Pay-per-call data & tool APIs
Output
Returns a JSON object with a meta block (run time, settled status, item count) and a results array containing: total/active/resolved signal counts, average basis points, confidence sum in basis points, input and result digests, counts broken down by source, status, severity, and event type, a high-or-critical count, and an array of warnings such as high_or_critical_present or low_confidence_present.
Example use cases
Brand risk monitoring for retail team
“Can you check the current brand signal metrics for our US retail brand and tell me how many high or critical risk signals are active, what the average confidence score is in basis points, and if there are any regulatory or review signals I should be worried about?”
Competitive intelligence on price changes
“Pull together the brand signal metrics for this US brand and break down the signals by event type — I specifically want to know if there are any active price change or promotion signals, and how many are flagged as high confidence.”
Brand health snapshot for weekly report
“I need a brand health summary for our weekly report — aggregate the brand signals for our US brand and give me the total count, how many are active versus resolved, the severity breakdown across low, medium, and high, and which monitoring sources they came from.”
Technical details
Endpoint
POSThttps://api.timzinin.com/api/us-brand-signal-metrics-aggregatorWhen to prefer
Choose this endpoint when you need a structured, multi-dimensional summary of brand signals for a US brand across multiple monitoring sources in a single call — particularly when you need severity, confidence, and event-type breakdowns together. Prefer this over raw signal feeds when you want aggregated metrics rather than individual signal records, or when you need basis-point confidence scoring and digest-based deduplication.
Side effects
- Invalid or missing brand identifier returns empty results or error
- Payment not settled results in 402 response blocking execution
- Malformed request body returns validation error
- Brand not found in US market returns zero-count result with no warnings
- Upstream monitoring sources unavailable may reduce signal coverage without explicit error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| schemaVersion | string |
Output
Schema · Response
{
"type": "json",
"example": {
"meta": {
"run_ms": 1200,
"settled": true,
"item_count": 1
},
"results": [
{
"total": 3,
"active": 2,
"resolved": 1,
"warnings": [
"high_or_critical_present",
"low_confidence_present",
"resolved_signals_present"
],
"averageBps": 7200,
"inputDigest": "74fcd72d6bb0a4c8df7a6871b854b3fd14075a2181850b682566677c86cb1fd6",
"resultDigest": "da0fb4528a8417b341f8dd89762e2c13657226a9cb11e6c8c561cd98c0129f73",
"countsBySource": {
"Brand newsroom": 1,
"Retail monitor": 2
},
"countsByStatus": {
"active": 2,
"resolved": 1
},
"highOrCritical": 1,
"confidenceSumBps": 21600,
"countsBySeverity": {
"low": 1,
"high": 1,
"medium": 1,
"critical": 0
},
"countsByEventType": {
"risk": 0,
"other": 0,
"hiring": 0,
"review": 1,
"inventory": 0,
"promotion": 0,
"regulatory": 0,
"ad_campaign": 0,
"price_change": 1,
"product_launch": 1
}
}
]
}
}Tags
x402
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