Validate information in real-time with Exa's AI engine
Swiftask integrates Exa's semantic search. Your AI agents cross-reference your data with trusted sources to guarantee the accuracy of every document.
Result:
Eliminate factual errors and strengthen the credibility of your publications without time-consuming manual searches.
AI Agents
exa
Connector exa · Secure OAuth 2.0
The risks of unverified information
Publishing content with factual errors can severely damage your reputation. Yet, verifying every data point manually is complex, slow, and prone to human error.
Main negative impacts:
Significant reputational risk
A single factual error can erode the trust of your clients and partners, impacting your brand image for the long term.
Inefficient validation processes
Teams spend hours cross-referencing scattered sources, slowing down the entire content production cycle.
Data inconsistency
Without a standardized tool, verification depends on individual judgment, creating quality disparities across your organization.
Swiftask uses Exa's semantic search technology to automate fact-checking. Your AI agents analyze, compare, and validate your information against high-quality sources, instantly.
BEFORE / AFTER
What changes with Swiftask
Manual verification
A writer finishes a report. They must open multiple tabs, perform Google searches, sort through irrelevant results, and manually check dates and sources. This process takes hours and remains incomplete.
Fact-checking with Exa + Swiftask
Your AI agent automatically submits key data points from the report to the Exa API. Within seconds, it receives contextual evidence and links to reliable sources, confirming or debunking the assertions.
Automate your verification in 4 steps
1
STEP 1 : Configure your verification agent
In Swiftask, create a dedicated fact-checking agent and define the types of data it should monitor.
2
STEP 2 : Connect the Exa API
Integrate Exa as a semantic search engine to allow your agent to access structured and relevant web data.
3
STEP 3 : Set validation rules
Configure confidence thresholds and preferred sources that the agent should use for its searches.
4
STEP 4 : Run automatic analysis
Submit your texts to the agent. It returns a detailed report with found evidence and points to correct.
Advanced verification capabilities
The agent analyzes named entities, dates, statistics, and claims within your documents to target critical points.
- Target connector: The agent performs the right actions in exa based on event context.
- Automated actions: Targeted semantic search via Exa. Comparison with academic or official sources. Evidence extraction for proof. Generation of a reliability score. Automated alerts for divergent data.
- Native governance: The integration ensures that every verification is documented, providing a full history for your compliance needs.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-exa@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.
Benefits for your content production
Increased accuracy
Drastically reduce factual errors through systematic AI-powered verification.
Operational time savings
Automate source research, allowing your teams to focus on strategy and writing.
Reinforced credibility
Publish content supported by verified sources, strengthening your industry authority.
Content scalability
Maintain high quality even while significantly increasing your production volume.
Simplified compliance
Keep a record of all searches performed by the agent to justify the truthfulness of your information.
Data security and privacy
Swiftask applies enterprise-grade security standards for your exa automations.
- Secure processing: Your documents are processed in an isolated environment without being used to train public models.
- Source control: You explicitly define the domains or types of sources authorized for verification.
- Full traceability: Every verification is logged with the sources consulted for total transparency.
- B2B standard compliance: Solution designed to meet the security requirements of large enterprises.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance metrics
| Metric | Before | After |
|---|---|---|
| Verification time | Several hours | A few seconds |
| Error detection rate | Depends on vigilance | Near-systematic capture |
| Volume of sources processed | Limited by human | Unlimited via Exa |
| Reader trust | Variable | Measurable and high |
Take action with exa
Eliminate factual errors and strengthen the credibility of your publications without time-consuming manual searches.