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Delx Commerce Image Prompt Linter
x402
Delx Commerce Image Prompt Linter is a paid API for AI agents from commerce.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-01).
Validates and lints an image generation prompt for character count, word count, blocked tokens, and length compliance against a configurable character limit.
Price / call$0.001
Success—
StatusUnknown
How this service works
Pay-per-result APIs for agents. No signup. Exact price. Verifiable delivery. USDC on Base + Solana via x402.
Output
Returns a JSON object with: a boolean ok status, total character count (chars), word count (words), a list of detected issues, the schema identifier, the configured max_chars limit, a within_limit boolean, a list of blocked_tokens found in the prompt, and a recommend_trim boolean indicating whether the prompt should be shortened.
Example use cases
Pre-flight check before image generation
“Before I send this prompt to the image generator, can you check it for any blocked tokens or issues and confirm it's within the 1200 character limit? Here's the prompt: 'ethereal forest goddess surrounded by glowing butterflies, bioluminescent flora, mist, photorealistic, trending on ArtStation'”
Agent pipeline prompt quality gate
“I'm building an automated image pipeline — before each prompt goes to the model, validate it against a 800 character max and flag any blocked tokens or issues so I can fix them first.”
Debugging a rejected image prompt
“My image prompt keeps getting rejected and I'm not sure why — can you lint it and tell me if there are blocked words or if it exceeds the character limit? The prompt is: 'hyper-realistic portrait of an elderly sailor, weathered face, stormy sea background, dramatic lighting, canon 5d, f/1.8'”
Technical details
Endpoint
POSThttps://commerce.delx.ai/api/v1/x402/image-prompt-lint?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, cheap, pre-generation quality gate on image prompts — especially in automated pipelines where you want to catch oversized or policy-violating prompts before sending them to an expensive image model. Prefer this over manual string length checks when you also need blocked-token detection and structured issue reporting in one call.
Side effects
- Missing prompt field returns validation error
- Prompt exceeding maximum character limit sets within_limit to false and recommend_trim to true
- Blocked tokens detected populate the blocked_tokens array and may set ok to false
- Non-integer max_chars value causes input schema error
- Empty prompt string may return zero counts with no issues
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompt | string | Input field: prompt. |
| max_chars | integer | Input field: max chars. |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"chars": 53,
"words": 8,
"issues": [],
"schema": "delx/util-image-prompt-lint/v1",
"max_chars": 1200,
"within_limit": true,
"blocked_tokens": [],
"recommend_trim": false
}
}Tags
x402
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