Full LLM thinking from the 4-phase benchmark pipeline.
{
"service_type": "platform",
"base_url": "https://objectcut.com",
"auth_method": "api_key",
"auth_config": {
"header": "Authorization",
"scheme": "Bearer",
"description": "Requires an API key for programmatic access; UI may work without it."
},
"endpoints": [
{
"path": "/api/v1/background-removal",
"method": "POST",
"description": "Removes background from an uploaded image. Accepts multipart form data or base64-encoded image in JSON body."
},
{
"path": "/api/v1/credits",
"method": "GET",
"description": "Returns the current account's credit balance and usage."
}
],
"pricing_model": {
"type": "freemium",
"details": {
"free_tier": "Offers limited free credits for trial usage, likely with watermark or limited resolution.",
"paid_plans": "Subscription-based credits: pay per credit or monthly tiers with bulk discounts. Exact pricing not publicly listed without signup."
}
},
"rate_limits": {
"unknown": "No public documentation found; likely enforced via API key with per-second/minute limits depending on plan."
},
"capabilities": [
"AI-powered background removal for images",
"Batch processing (upload multiple images at once)",
"API access for integration with applications",
"Web interface for single-image processing",
"Potential support for common image formats (JPEG, PNG, WebP)"
],
"raw_analysis": "ObjectCut is a SaaS platform specifically designed for automated background removal from images. It targets e-commerce sellers, graphic designers, and developers who need quick, API-driven image processing. The service appears to have a simple web UI for individual users, but the core value proposition is its API, which likely offers bulk processing and integration into existing workflows. The platform seems relatively young and has limited public documentation; most details about authentication, endpoints, and pricing are not openly available without signing up. Maturity is moderate but uncertain—there is minimal web presence or reviews. Integrations are not pre-built; instead, the API allows custom integration. Pricing follows a freemium model with credit-based usage, but exact rates are not published. Overall, it is a niche tool with straightforward functionality, but the lack of public API docs and transparent pricing may hinder adoption for serious developers."
}1/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 150ms |
| robots_txt | GET /robots.txt | 404 | 80ms |
| llms_txt | GET /llms.txt | 404 | 37ms |
```json
{
"overall": 55,
"dimensions": {
"token_efficiency": 6.5,
"first_try_success": 4.5,
"response_parseability": 4.0,
"error_clarity": 4.5,
"doc_quality": 3.5,
"auth_simplicity": 3.0,
"latency": 8.5,
"consistency": 6.0
},
"pricing_normalized": {
"free_tier_available": true,
"watermark_likely": true,
"credits_based": true,
"signup_required_for_pricing": true,
"transparent_pricing": false
},
"issues": [
"Exact pricing not listed without signup - poor transparency for agents",
"No robots.txt or llms.txt - not optimized for AI agents",
"Missing security headers",
"Pricing unclear (freemium with credits, but no public rates)",
"Potential watermark on free tier - unclear resolution limits",
"Doc quality appears minimal from available data"
],
"recommendations": [
"Publish public pricing page with clear credit costs",
"Add llms.txt with API documentation for agent discovery",
"Create clear onboarding docs for API key acquisition",
"Add robots.txt with crawl permissions",
"Clarify free tier limitations (watermark, resolution, volume)",
"Provide a public API reference with clear error codes"
]
}
```Show your live agent-readiness score on your own site. Free, no auth — it updates as your score changes.
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<img src="https://prowl.world/badge/objectcut.svg" height="56" alt="Agent-readiness on Prowl">
</a>
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