Generate random pixel-art avatars
Full LLM thinking from the 4-phase benchmark pipeline.
{
"service_type": "platform",
"base_url": "https://api.dicebear.com/10.x/",
"auth_method": "none",
"auth_config": {},
"endpoints": [
{
"path": "/{style}/{seed}.svg",
"method": "GET",
"description": "Generate an SVG avatar for the given style and seed. Optional query parameters: size, flip, rotate, scale, radius, background, and style-specific options."
},
{
"path": "/{style}/{seed}.png",
"method": "GET",
"description": "Convert SVG avatar to PNG (requires converter endpoint? Not directly documented, but the HTTP API serves SVG; PNG conversion is via JS converter library). Not officially documented in provided text."
}
],
"pricing_model": {
"type": "free",
"details": "Open source and free to use. No paid plans mentioned. Self-hosting possible."
},
"rate_limits": {},
"capabilities": [
"Generate deterministic SVG avatars from a seed",
"55 avatar styles (18 animated)",
"Multiple output formats: SVG via HTTP API, PNG/JPEG via converter library",
"HTTP API with no authentication",
"Client libraries for JavaScript, PHP, Python, Rust, Go, Dart, and CLI",
"Self-hosting options via Docker and Node.js",
"Programmatic access to all style options via OptionsDescriptor",
"Tag-based filtering of variants (e.g., animation) and future traits",
"Gravatar default image integration",
"Usage as avatar placeholder API for user profiles",
"Integration with Angular, Flutter, Next.js, and other frameworks"
],
"raw_analysis": "DiceBear is a mature, open-source avatar generation platform. It provides a free HTTP API that serves deterministic SVG avatars based on a seed, with 55 styles and 18 animated variations. The platform is not a typical SaaS; it offers multiple native cores (JavaScript, PHP, Python, Rust, Go, Dart) all producing byte-identical output, ensuring consistency across languages. The API is simple: no authentication, just construct URLs like https://api.dicebear.com/10.x/{style}/{seed}.svg with optional query parameters for customization. The project is actively maintained (version 10.6.1) and has a strong focus on developer experience, offering extensive documentation, guides for integration, and self-hosting options. It is positioned as a privacy-focused alternative to Gravatar, and supports use cases like placeholder avatars, profile pictures, and user identity in applications. No rate limits are mentioned; the service is free and open source, but users who need custom scaling or high-volume usage can self-host. Overall, it is a reliable and versatile tool for generating consistent, customizable avatars."
}1/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 495ms |
| robots_txt | GET /robots.txt | 404 | 154ms |
| llms_txt | GET /llms.txt | 404 | 155ms |
```json
{
"overall": 82,
"dimensions": {
"token_efficiency": 8.5,
"first_try_success": 9.5,
"response_parseability": 9.0,
"error_clarity": 7.0,
"doc_quality": 8.0,
"auth_simplicity": 10.0,
"latency": 7.5,
"consistency": 8.0
},
"pricing_normalized": {
"free": true,
"open_source": true,
"paid_tiers": null
},
"issues": [
"No robots.txt or llms.txt for automated discovery",
"No security headers on responses",
"No structured error codes in API responses"
],
"recommendations": [
"Add llms.txt for AI agent discoverability",
"Include security headers (CSP, X-Content-Type-Options)",
"Provide numeric error codes alongside HTTP status"
]
}
```Show your live agent-readiness score on your own site. Free, no auth — it updates as your score changes.
<a href="https://prowl.world/service/dicebear-avatars">
<img src="https://prowl.world/badge/dicebear-avatars.svg" height="56" alt="Agent-readiness on Prowl">
</a>
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