Our Solution

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

Misinformation at Scale

Rapid spread of misinformation on social media and online platforms demands quick verification.

Unscalable Manual Verification

Manual fact-checking is1 slow, labor-intensive, and cannot scale to verify large volumes of content.

Lack of Automated Fact-Checking

People and organizations often lack reliable, automated tools to validate news or claims efficiently.

Fragmented Source Trust

Conflicting or incomplete information across sources can make fact verification difficult and time-consuming.

High-Stakes Accuracy Demand

High-stakes fields like news, legal, healthcare, and research require trusted and accurate information at scale.

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

Automated Verification

Speeds up fact-checking by automatically extracting and validating claims.

Confidence Scoring

Provides a numerical confidence level for each verdict, indicating how certain the system is.

Multi-Source Evidence

Checks each claim against diverse information sources to ensure robustness.

Transparent Explanations

Generates detailed reasoning and supporting references for the verdict.

Real-Time Answers

Delivers rapid verdicts to enable timely decision-making.

Multi-Modal Support

Handles various input types (e.g., text, images) in a unified workflow.

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.