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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.

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

STEP 1 : Configure your verification agent

In Swiftask, create a dedicated fact-checking agent and define the types of data it should monitor.

STEP 2 : Connect the Exa API

Integrate Exa as a semantic search engine to allow your agent to access structured and relevant web data.

STEP 3 : Set validation rules

Configure confidence thresholds and preferred sources that the agent should use for its searches.

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

1. Increased accuracy

Drastically reduce factual errors through systematic AI-powered verification.

2. Operational time savings

Automate source research, allowing your teams to focus on strategy and writing.

3. Reinforced credibility

Publish content supported by verified sources, strengthening your industry authority.

4. Content scalability

Maintain high quality even while significantly increasing your production volume.

5. 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

MetricBeforeAfter
Verification timeSeveral hoursA few seconds
Error detection rateDepends on vigilanceNear-systematic capture
Volume of sources processedLimited by humanUnlimited via Exa
Reader trustVariableMeasurable and high

Take action with exa

Eliminate factual errors and strengthen the credibility of your publications without time-consuming manual searches.

Supercharge your sourcing with Swiftask and Exa's AI search

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