Checked API

AI Visual Diagnostics from 5-Second Video Capture

Analyze 5-second 360° video recordings in real time to detect physical damage, screen burn-ins, panel cracks, and surface blemishes across pre-owned goods in milliseconds.

Building the Trust Layer for the $1.3T Second-Hand Market

The global secondary recommerce ecosystem represents a $1.3 Trillion market opportunity across consumer electronics, furniture, automotives, luxury goods, and beyond. However, second-hand marketplaces face continuous drag from friction, inaccurate condition grading, and buyer distrust.

Checked API acts as the universal trust protocol. By ingesting a simple 5-second video scan, our visual models automatically extract physical defects—from micro-scratches and screen burn-ins to panel misalignment—delivering objective trust scores that enable instant Checked Verified listing badges.

Development Roadmap & Accelerator Phase

We are currently stress-testing the core AI engine across thousands of real-world test scans. Following initial benchmarking, full applications will be submitted to leading startup accelerators to secure seed funding for engineering talent, IT infrastructure, and go-to-market enterprise partnerships.

Core Capabilities

• 5-Second Video Inspection: Reconstruct multi-angle frame data from short 360° user videos to capture defects photo-by-photo missed by static images.
• Physical Flaw Detection: Pinpoint micro-cracks, OLED/LCD screen burn-in, frame dents, and cosmetic wear using custom visual analysis models.
• Universal Grading Model: Standardize condition reports for electronics today, expanding toward furniture, automotives, and secondary goods tomorrow.

Developer API Integration

Submit 5-second video payloads directly via API to receive structured inspection reports:

POST /v1/inspect/video
Content-Type: application/json

{
  "item_category": "electronics",
  "video_payload": "data:video/mp4;base64,...",
  "scan_duration_sec": 5
}

Sample API Response:

{
  "inspection_status": "completed",
  "overall_condition": "Very Good",
  "confidence_score": 96.8,
  "detected_defects": [
    "Minor OLED screen burn-in (bottom navigation bar area)",
    "Hairline bezel scuff on top edge"
  ],
  "verification_badge_eligible": true,
  "trust_score": 92
}