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FakeSpotter

by Carlos RussellGitHubUpdated May 25, 2026

AI-Powered Forensic Suite for digital evidence authentication, deepfake detection, and document integrity verification.

forensics
security
deepfake-detection
+2
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How to pay

Pick whichever fits your workflow — you can switch any time.

Subscribe

Monthly billing

$9/month

Predictable monthly cost with included usage. Best for steady, high-volume traffic.

  • Unlimited tools within plan limits
  • One API key, billed once a month
  • Cancel any time

Pay-per-call

Agent-native

$0.10 – $0.50 per call

Charge agents in USDC the moment they call a tool. No subscriptions, no signup — pay only for what you use.

  • 18 priced tools available
  • Settled in USDC on Base
  • No account or API key required

Overview

FakeSpotter is a comprehensive digital forensics MCP server designed to authenticate media, verify documents, and detect synthetic manipulation. It provides a standardized interface for security professionals and analysts to generate verifiable forensic reports, enabling rapid validation of digital content across web, blockchain, and document ecosystems.

Key Capabilities

  • Media Forensics: Use audit_deepfake_video, detect_ai_generated_image, and analyze_audio_authenticity to identify synthetic media via ELA, noise consistency, and metadata fingerprinting.
  • Document & Identity Validation: Utilize validate_identity_doc, detect_document_forgery, and verify_physical_currency to detect localized tampering, copy-move manipulations, and substrate inconsistencies.
  • Web & Network Security: Deploy scan_phishing_url, analyze_url_reputation, and check_email_headers to identify malicious infrastructure, spoofing attempts, and phishing risks.
  • Integrity & Provenance: Leverage verify_document_integrity, analyze_file_metadata, scan_blockchain_provenance, and verify_nft_authenticity to confirm file immutability and verify on-chain asset history.
  • Detection Utilities: Apply detect_steganography for hidden data analysis and detect_ai_generated_text for heuristic linguistic evaluation of written content.

Use Cases

  • KYC/AML Compliance: Automatically validate uploaded passport or driver's license images using validate_identity_doc to flag potential document forgery before manual review.
  • Incident Response: When investigating suspicious links or emails, use scan_phishing_url and check_email_headers to instantly map out redirect chains and verify DMARC/SPF/DKIM compliance.
  • Content Moderation: Verify the authenticity of user-submitted media by running audit_deepfake_video or detect_ai_generated_image to generate a signed forensic certificate for internal audit trails.
  • Digital Asset Verification: Use verify_nft_authenticity and scan_blockchain_provenance to confirm the origin of an asset, protecting against metadata spoofing and "dust" attacks.

Who This Is For

This server is built for security analysts, forensic investigators, and compliance officers who require objective, metadata-driven insights to verify digital evidence. It is also ideal for developers building trust-and-safety features into platforms where content authenticity is a critical requirement.