Pricing

Analyze media sentiment in real-time with Perigon

Swiftask connects your AI agents to the Perigon stream, turning thousands of news articles into clear, actionable sentiment metrics instantly.

Result:

Stop drowning in information. Identify reputation trends and market opportunities before anyone else.

Information overload hides critical signals

Monitoring global news with Perigon is powerful, but the sheer volume makes manual analysis impossible. Your teams spend hours reading articles without being able to objectively quantify how your brand or competitors are perceived.

Main negative impacts:

Delayed crisis response: Rising negative sentiment in media goes unnoticed until it's too late, preventing proactive reputation management.
Subjective and biased analysis: Human interpretation of article tone varies by analyst, making monitoring reports inconsistent and unreliable for leadership.
High operational costs: Assigning analysts to manually read and categorize articles is a waste of high-value human resources.

Swiftask automates sentiment analysis on the Perigon stream. Our AI agents process, categorize, and score every article in real-time, providing you with precise dashboards on your media image evolution.

BEFORE / AFTER

What changes with Swiftask

Traditional monitoring

A team receives Perigon alerts, opens each article, manually evaluates the tone (positive/negative), and compiles data into an Excel sheet. The report is obsolete before it's finished.

Augmented monitoring with Swiftask

The Perigon stream is continuously analyzed by Swiftask. Every article gets an instant sentiment score. Negative trends trigger priority alerts on Slack or Teams.

Deploy your media analysis engine in 4 steps

STEP 1 : Connect your Perigon source

Integrate your Perigon streams into Swiftask with a simple configuration. Define the keywords or topics to monitor.

STEP 2 : Define sentiment criteria

Configure the AI agent to identify nuances specific to your industry: tone, intensity, and mentioned entities.

STEP 3 : Automate alerts

Determine sentiment thresholds that must trigger an immediate alert for your communications or crisis management teams.

STEP 4 : Visualize trends

Access the Swiftask dashboard to track the historical evolution of media sentiment on your key topics.

Key features of the Perigon analysis agent

The AI analyzes not just the text, but the publication context, source authority, and mention frequency to weight the sentiment.

Target connector: The agent performs the right actions in perigon based on event context.
Automated actions: Automatic sentiment score (1-10 scale). Automatic article summarization. Anomaly detection in volume. Contextual alerts on messaging channels.
Native governance: All analysis logs are kept for a complete audit of media perception over the long term.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-perigon@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why choose Swiftask for your media monitoring?

1. AI precision

Constant analysis, free from human bias, capable of detecting sarcasm or subtle nuances in media language.

2. Massive time savings

Eliminate manual reading of thousands of articles. Only review the AI-synthesized analyses.

3. 24/7 Monitoring

Your AI agent never sleeps. Get alerted to a sentiment shift at 3 AM, before markets open.

4. Structured data

Export your sentiment scores to your BI tools to correlate news with your business performance.

5. Governance and compliance

Maintain a historical record of sentiment evolution to justify your strategic decisions.

Monitoring data security

Swiftask applies enterprise-grade security standards for your perigon automations.

Secure processing: Swiftask processes your stream data with encryption protocols compliant with enterprise standards.
Data isolation: Your sentiment analyses are private and isolated in your dedicated workspace.
Continuous audit: Every analysis is logged, ensuring total transparency on how sentiment was calculated.
AI flexibility: Switch AI engines or models to refine precision without changing your Perigon connector.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your monitoring operations

Metric	Before	After
Articles processed	Limited by human capacity	Unlimited (full Perigon stream)
Detection delay	Several hours (daily)	Real-time (a few seconds)
Analysis accuracy	Variable and subjective	Standardized and consistent

Take action with perigon

Stop drowning in information. Identify reputation trends and market opportunities before anyone else.

Turn massive Perigon streams into precision AI alerts

Next use case