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fastapi.online Image Classification
x402
fastapi.online Image Classification is a paid API for AI agents from api.fastapi.online, paid per call via x402, $0.0015/call, status down (last checked 2026-09-15).
Classifies an uploaded image into categories, supporting zero-shot classification with custom labels via self-hosted AI inference
Price / call$0.0015
Success—
StatusDown
How this service works
Chat, embeddings, OCR, speech-to-text, image editing, image understanding (captioning/Q&A), text-to-speech, translation, writing tools, classification tools, developer tools, local utilities, format/checksum validators, encoding & crypto utilities, date/time calculators, geo/coordinate math, math & finance calculators, novelty tools, and business/social writing generators — 179 endpoints in all, across multiple specialized self-hosted models. Pay per call with crypto — no signup — or get an API key.
Output
Returns predicted class label(s) and associated confidence scores indicating which category the image belongs to, based on either default model categories or the custom zero-shot labels provided.
Example use cases
E-commerce product photo categorization
“I have a JPEG of a new product we just listed — can you classify it as either 'electronics', 'clothing', 'home goods', or 'sporting equipment' so I can route it to the right catalog section?”
Content moderation image screening
“Run this uploaded image through classification with the labels 'safe', 'adult content', 'violence', and 'spam' — I need to know which category it falls into before we allow it to be posted.”
Wildlife photo identification
“I've got this nature photo — can you classify it using the labels 'bird', 'mammal', 'reptile', 'insect', and 'plant' to help me sort my field research images?”
Technical details
Endpoint
POSThttps://api.fastapi.online/image-classifyWhen to prefer
Choose this endpoint when you need fast, per-call image classification without committing to a monthly API subscription — especially useful for pay-as-you-go workflows, crypto-native pipelines, or when zero-shot classification with custom label sets is needed without fine-tuning a model.
Side effects
- Unsupported image format returns an error (only PNG/JPEG/WebP accepted)
- Image file too large may time out or be rejected
- Ambiguous or conflicting custom labels can reduce classification accuracy
- Low-resolution or heavily distorted images may yield low-confidence or incorrect predictions
- Network or payment failure returns a 402 or 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| file | string | Image file (PNG/JPEG/WebP) |
| labels | string | optional comma-separated labels for zero-shot classification |
Tags
x402
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