Fact Check
Fact Check
Automatically Verifies claims by analyzing content, retrieving evidences, , delivering accurate verdict.
FactPulse – AI Fact-Checking Tool | GenAI Protos
Verify claims and detect misinformation with FactPulse AI. Automate fact-checking across news, documents, and content using real-time AI-powered analysis.
Our Solution
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Executive Summary
Fact Check is an AI-powered fact-checking platform that automates the verification of claims. It uses a multi-stage pipeline with advanced AI agents to analyze input content, retrieve relevant evidence, and generate a verdict along with a confidence score. By cross-checking information across multiple sources, FactPulse helps organizations identify misinformation quickly and accurately. This blog outlines the challenges of manual fact-checking and describes how FactPulse addresses them through automated, AI-driven workflows.
Challenges
Rapid spread of misinformation on social media and online platforms demands quick verification.
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Misinformation at Scale
Manual fact-checking is1 slow, labor-intensive, and cannot scale to verify large volumes of content.
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Unscalable Manual Verification
People and organizations often lack reliable, automated tools to validate news or claims efficiently.
Target
Lack of Automated Fact-Checking
Conflicting or incomplete information across sources can make fact verification difficult and time-consuming.
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Fragmented Source Trust
High-stakes fields like news, legal, healthcare, and research require trusted and accurate information at scale.
Activity
High-Stakes Accuracy Demand
Solution Overview
Fact Check is designed to tackle these challenges by providing an AI-driven fact-checking solution. It lets users submit claims or content (text, documents, images, etc.) and then automatically processes the data to extract the core claim and verify it. Using the Agno-managed pipeline and multiple AI models, FactPulse gathers evidence from various sources, compares it with the claim, and outputs a fact-check verdict with explanations. This automated approach saves time, reduces human effort, and improves the accuracy of fact-checking.
How it Works
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Content Ingestion
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Users submit content via FastAPI endpoints (/fact-check/extract-claims)
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Supported inputs include text queries, URLs, social media links, images, and videos
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Content Processing & Consolidation
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URLs are crawled and parsed
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YouTube videos are transcribed
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Images and videos are processed using AI vision and transcription
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All extracted content is merged into a unified text corpus
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Claim Extraction (Phase 1)
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A structured output agent (GPT-4.1-mini) identifies fact-checkable claims
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Non-factual or opinion-based statements are filtered out
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Claims are returned in a structured JSON format
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Multi-Agent Fact Verification (Phase 2)
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Claude 3.7 Sonnet acts as the coordinating agent
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Specialized agents perform deep research, web search, news search, and social media analysis
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Evidence is collected from multiple credible sources
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Reasoning & Verdict Generation
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The coordinating agent evaluates evidence credibility and consistency
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A verdict is generated for each claim
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Final output includes verdict, explanation, citations, and confidence score
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Architecture Diagram - Fact Check
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Fact Pulse
Key Benefits: Faster Verification, Reduced Risk, and Trusted Insights
Speeds up fact-checking by automatically extracting and validating claims.
Bot
Automated Verification
Provides a numerical confidence level for each verdict, indicating how certain the system is.
Rocket
Confidence Scoring
Checks each claim against diverse information sources to ensure robustness.
Archive
Multi-Source Evidence
Generates detailed reasoning and supporting references for the verdict.
Transparent Explanations
Delivers rapid verdicts to enable timely decision-making.
Award
Real-Time Answers
Handles various input types (e.g., text, images) in a unified workflow.
Grid
Multi-Modal Support
Key Outcomes with Fact Check
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Real-Time Misinformation Detection
Real-time filtering of misinformation, enabling proactive response.
Scalable Source Validation
Automated validation of sources at scale for better accuracy.
Code
Structured, Integrable Outputs
Structured JSON verdicts and data for easy integration into existing systems.
Domain-Critical Accuracy
Suitable for legal, news, research, and healthcare domains where fact integrity is critical.
Technical Foundation
FastAPI
Server
Backend Framework
Agno
Workflow
Agent Orchestration
Claude 3.7 Sonnet (Coordinator Agent) GPT-4.1-mini (Structured Claim Extraction)
BrainCircuit
Language Models
OpenRouter OpenAI
PlugZap
APIs & Services
Exa API (research and news) Tavily API (web search) Social media scrapers
SearchCheck
Evidence Retrieval
AI-Driven Fact Verification You Can Trust
Factcheck showcases how multi-agent AI can deliver fast, accurate, and explainable fact-checking at scale. By automating claim extraction, evidence gathering, and verdict generation, it helps organizations reduce misinformation risks while saving time and effort. Built with a production-first mindset, Factcheck reflects GenAI Protos’ focus on practical, enterprise-ready AI systems that bring trust, transparency, and reliability to critical information workflows.
Trust Every Claim with AI Fact-Checking
Strengthen credibility with evidence-based AI fact-checking that verifies information in real time, reduces misinformation risk, and supports journalism, compliance, healthcare, and enterprise communications.
Book a Demo
https://calendly.com/contact-genaiprotos/3xde
Fact Check
Executive Summary
Fact Check is an AI-powered fact-checking platform that automates the verification of claims. It uses a multi-stage pipeline with advanced AI agents to analyze input content, retrieve relevant evidence, and generate a verdict along with a confidence score. By cross-checking information across multiple sources, FactPulse helps organizations identify misinformation quickly and accurately. This blog outlines the challenges of manual fact-checking and describes how FactPulse addresses them through automated, AI-driven workflows.
Challenges
Solution Overview
Fact Check is designed to tackle these challenges by providing an AI-driven fact-checking solution. It lets users submit claims or content (text, documents, images, etc.) and then automatically processes the data to extract the core claim and verify it. Using the Agno-managed pipeline and multiple AI models, FactPulse gathers evidence from various sources, compares it with the claim, and outputs a fact-check verdict with explanations. This automated approach saves time, reduces human effort, and improves the accuracy of fact-checking.
How it Works
Content Ingestion
- Users submit content via FastAPI endpoints (/fact-check/extract-claims)
- Supported inputs include text queries, URLs, social media links, images, and videos
Content Processing & Consolidation
- URLs are crawled and parsed
- YouTube videos are transcribed
- Images and videos are processed using AI vision and transcription
- All extracted content is merged into a unified text corpus
Claim Extraction (Phase 1)
- A structured output agent (GPT-4.1-mini) identifies fact-checkable claims
- Non-factual or opinion-based statements are filtered out
- Claims are returned in a structured JSON format
Multi-Agent Fact Verification (Phase 2)
- Claude 3.7 Sonnet acts as the coordinating agent
- Specialized agents perform deep research, web search, news search, and social media analysis
- Evidence is collected from multiple credible sources
Reasoning & Verdict Generation
- The coordinating agent evaluates evidence credibility and consistency
- A verdict is generated for each claim
- Final output includes verdict, explanation, citations, and confidence score
Fact Pulse
Key Benefits: Faster Verification, Reduced Risk, and Trusted Insights
Key Outcomes with Fact Check
Real-Time Misinformation Detection
Real-time filtering of misinformation, enabling proactive response.
Scalable Source Validation
Automated validation of sources at scale for better accuracy.
Structured, Integrable Outputs
Structured JSON verdicts and data for easy integration into existing systems.
Domain-Critical Accuracy
Suitable for legal, news, research, and healthcare domains where fact integrity is critical.
Technical Foundation
Backend Framework
FastAPI
Agent Orchestration
Agno
Language Models
Claude 3.7 Sonnet (Coordinator Agent) GPT-4.1-mini (Structured Claim Extraction)
APIs & Services
OpenRouter OpenAI
Evidence Retrieval
Exa API (research and news) Tavily API (web search) Social media scrapers
AI-Driven Fact Verification You Can Trust
Factcheck showcases how multi-agent AI can deliver fast, accurate, and explainable fact-checking at scale. By automating claim extraction, evidence gathering, and verdict generation, it helps organizations reduce misinformation risks while saving time and effort. Built with a production-first mindset, Factcheck reflects GenAI Protos’ focus on practical, enterprise-ready AI systems that bring trust, transparency, and reliability to critical information workflows.
