LIVE API v2.4 — Processing 10M+ verifications daily

Verify Data Authenticity in Real Time

MarginT's Proof-of-Data protocol detects synthetic content, tracks provenance, and scores every data point before it enters your AI pipeline. Try it below.

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10M+

Verifications Daily

99.7%

Detection Accuracy

<50ms

Avg. Latency

99.9%

API Uptime

The Crisis

AI Is Choking on Synthetic Data

As AI systems consume their own generated content, "model collapse" threatens to degrade outputs. Decentralized data networks are flooded with bot-submitted noise. Without verification, the AI economy runs on digital trash.

73%

of enterprises rank data quality as top AI concern

$4.2T

AI market by 2028 depends on clean data

Synthetic Content Detected

The Product

Three Pillars of Digital Trust

Built for production workloads. Deployed by teams verifying millions of data points daily.

MarginT Console — Live OPERATIONAL

2.4M

Verifications Today

99.7%

Accuracy Rate

42ms

Avg. Response

Recent Verifications View All
Q3 earnings report analysis — Authentic (0.94) 2s ago
Decentralized synergy proposal — Synthetic (0.12) 8s ago
Dataset batch #4821 — Review (0.58) 15s ago

Data Authenticity Engine

Multi-modal detection processing text, image, and video through embedding similarity, synthetic fingerprinting, and anomaly detection vectors.

Learn More →

Proof-of-Data Protocol

Cryptographic metadata wrapper with a quality score (0-1) for every data point. Immutable trust records that follow data through its lifecycle.

Learn More →

API & SDK

Single-line integration. RESTful API with SDKs for Python, JavaScript, and Go. Enterprise SLAs with 99.9% uptime and sub-50ms response.

View Docs →

Use Cases

Built for the Entire Data Ecosystem

Enterprise

AI Training Pipelines

Fortune 500 companies use MarginT as a Quality Gate, auditing massive datasets to ensure they are free of copyright-infringing synthetic content and duplicates before expensive compute runs.

Try the Sandbox →
Quality Gate — Batch Analysis
Batch #8921 — 50,000 records COMPLETE
47,023 passed — 2,977 flagged 2.4s processing time
Web3

Decentralized Subnets

In subnet architectures like Bittensor, MarginT serves as the Validator's Validator — providing standardized trust metrics to slash bad actors and reward high-quality contributors fairly.

Read Integration Guide →
Subnet Validator — Live Feed
Node-0x4a...e91 Score: 0.91
Node-0x7b...c23 Score: 0.08
Node-0x2f...a45 Score: 0.87
Marketplaces

Data Marketplaces

Buyers purchase datasets with confidence. MarginT provides a Blue Checkmark for data — significantly increasing market value by proving authenticity and human origin.

View Pricing →
Dataset — Verified

financial-reports-2024.zip

MarginT Score: 0.94 — Verified Authentic

VERIFIED PoD Hash: 0x8a3f...e72

How It Works

From Raw Data to Verified Trust

1

Ingest

Data enters via API, SDK, or file upload. Works with any text, image, or video format.

2

Analyze

Three parallel detection vectors run embedding similarity, fingerprinting, and anomaly checks.

3

Score

Every data point receives a MarginT Score (0-1) and a cryptographic Proof-of-Data record.

4

Act

Only high-score data triggers expensive compute. Bad actors get slashed. Buyers see verified badges.

Start Verifying in Minutes

Free Developer Tier includes 1,000 verifications per month. No credit card required.

Enterprise plans available with dedicated support and custom SLAs.