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Qonoro News Sentiment Analysis
x402
Qonoro News Sentiment Analysis is a paid API for AI agents from api.qonoro.ai, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-13).
Analyzes real-time news sentiment for a given company, returning overall sentiment, score, signal strength, key themes, per-article breakdown, and a recommended action for B2B sales and PR agents.
Price / call$0.15
Success—
StatusUnknown
How this service works
Real-time news sentiment analysis for a company: overall sentiment, score, signal strength, key themes, per-article sentiment, and a recommended action for B2B sales and PR agents.
Output
Returns the overall sentiment label (positive/neutral/negative), a numeric sentiment score, signal strength indicator, a list of key themes extracted from recent coverage, a per-article sentiment breakdown with individual scores, and a recommended action tailored for B2B sales or PR decision-making.
Example use cases
Pre-call prospect news briefing
“Before I get on a call with Snowflake today, analyze their recent news sentiment and tell me the overall score, signal strength, and any key themes I should know about — plus whether you'd recommend I reach out now.”
PR risk check before outreach
“Check the news sentiment for Peloton right now — I need to know if there's any negative press that could make this a bad time for a partnership pitch, and what the recommended action is.”
Sales signal triage for account list
“Run a news sentiment analysis on Notion and give me the sentiment score, key themes, and recommended action — I'm deciding whether to prioritize them in my outreach this week.”
Technical details
Endpoint
POSThttps://api.qonoro.ai/v1/news/sentimentWhen to prefer
Choose this endpoint when you need a structured, actionable news sentiment summary for a specific company — especially for B2B sales prospecting, account prioritization, or PR risk assessment. It is preferable over generic news search when you need a sentiment score, signal strength, and a recommended action synthesized from multiple articles rather than raw headlines.
Side effects
- Company not found or insufficient news coverage returns low signal strength or empty results
- Ambiguous company name may match wrong entity — provide domain for disambiguation
- Very recent news may not yet be indexed, resulting in stale or incomplete sentiment
- Rate limiting or payment failure returns error without sentiment data
- Non-English news coverage may be underweighted or excluded
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| topic | string | Optional topic to scope the search: e.g. 'funding', 'product', 'legal', 'hiring', 'partnership', 'general'. |
| buyer_region | string | Optional privacy-safe buyer region for operational reporting. |
| company_name | string | Company name to analyze news sentiment for. |
| timeframe_days | integer | How many days back to search for news. Default: 30. |
Tags
x402
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