TITANHOLD AI Quality Check

x402

TITANHOLD AI Quality Check is a paid API for AI agents from x402.titanhold.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-20).

Analyzes an AI-generated image or short video for common generation defects such as extra fingers, garbled text, wrong vehicle geometry, physics errors, and flicker, returning a pass/fail score with detailed defect annotations.

Price / call$0.1

Seller volume →—

Success—

StatusUnknown

How this service works

Paid check of an AI-generated image or short video for typical generation defects (extra fingers, garbled text, wrong vehicle geometry, physics, flicker). Runs a local vision model; files are deleted after the check.

Output

Returns a JSON object with: the media kind (image or video), a pass/fail boolean, the vision model used, a 0-100 quality score, a list of detected defects each with type/detail/severity, human-readable reasons for failure, and the number of frames checked. Files are deleted after analysis.

Example use cases

Freelance AI art delivery gate

“Before I send this AI-generated portrait to my client, check it for anatomy defects like extra fingers or distorted faces — the URL is https://mycdn.com/portrait_final.png, the brief was 'a professional headshot of a woman in a blue blazer', and fail it if the score is below 80.”

AI video campaign quality screen

“I have a 10-second AI-generated product video at https://assets.mybrand.com/ad_clip.mp4 — can you scan 8 frames for flicker, physics errors, or garbled text and tell me if it passes a minimum score of 70?”

Automated AI content pipeline defect filter

“Run a quality check on this base64-encoded AI image I'm about to publish — the brief was 'a red double-decker bus on a London street' — and flag any vehicle geometry problems or impossible physics, failing below a score of 65.”

Technical details

Endpoint

POSThttps://x402.titanhold.app/v1/check/video?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need automated defect detection specifically for AI-generated images or short videos — particularly for anatomy errors (extra fingers, distorted faces), vehicle geometry, garbled text, flicker, and physics impossibilities. It is purpose-built for AI generation artifacts rather than generic image quality metrics, and includes brief-aware evaluation so defects are judged against what was actually ordered. Prefer it over generic computer vision APIs when the content is AI-generated and you need a structured pass/fail gate with per-defect severity ratings.

Side effects

File URL unreachable or returns non-200 — check returns error without score
Base64 data malformed or too large — parsing failure
Unsupported file format — model cannot process the media type
frames parameter outside 2-8 range — validation error
minScore outside 0-100 range — validation error
brief exceeds 500 characters — truncated or rejected
Vision model inference timeout for very long videos
Payment not included or insufficient — 402 Payment Required response

Input

Schema · Request body

Field	Type	Description
url	string	https URL of the delivered file. Alternative: data (base64).
data	string	Base64 file bytes. Alternative to url.
brief	string	What was ordered, used to judge the file against the brief. Max 500 chars.
frames	integer	Video frames to sample, 2-8. Default 6.
minScore	number	Fail below this 0-100 score. Default 70.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "kind": "image",
    "pass": false,
    "model": "ollama:qwen2.5vl:7b",
    "score": 55,
    "defects": [
      {
        "type": "vehicle_geometry",
        "detail": "car has three doors",
        "severity": "major"
      }
    ],
    "reasons": [
      "major vehicle_geometry: car has three doors"
    ],
    "framesChecked": 1
  }
}

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How this service works

Output

Example use cases

Freelance AI art delivery gate

AI video campaign quality screen

Automated AI content pipeline defect filter

Technical details

Endpoint

POSThttps://x402.titanhold.app/v1/check/video?utm_source=zero.xyz

When to prefer

Side effects

File URL unreachable or returns non-200 — check returns error without score
Base64 data malformed or too large — parsing failure
Unsupported file format — model cannot process the media type
frames parameter outside 2-8 range — validation error
minScore outside 0-100 range — validation error
brief exceeds 500 characters — truncated or rejected
Vision model inference timeout for very long videos
Payment not included or insufficient — 402 Payment Required response

Input

Schema · Request body

Field	Type	Description
url	string	https URL of the delivered file. Alternative: data (base64).
data	string	Base64 file bytes. Alternative to url.
brief	string	What was ordered, used to judge the file against the brief. Max 500 chars.
frames	integer	Video frames to sample, 2-8. Default 6.
minScore	number	Fail below this 0-100 score. Default 70.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "kind": "image",
    "pass": false,
    "model": "ollama:qwen2.5vl:7b",
    "score": 55,
    "defects": [
      {
        "type": "vehicle_geometry",
        "detail": "car has three doors",
        "severity": "major"
      }
    ],
    "reasons": [
      "major vehicle_geometry: car has three doors"
    ],
    "framesChecked": 1
  }
}