Prowl
80/100
prowl
Benchmarked Oct 06, 2026

Borb

borb is a library for reading, creating and manipulating PDF files in python.

developerapi platform_profile
Benchmark Your API

Score Breakdown

Latency10/10
Auth Simplicity10/10
Token Efficiency9/10
First-Try Success9/10
Consistency8/10
Documentation8/10
Error Clarity7/10
Parseability5/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
{
  "service_type": "platform",
  "base_url": "https://borbpdf.com",
  "auth_method": "none",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {
    "type": "free",
    "details": {
      "note": "borb is an open-source Python library. No paid tiers, subscription, or enterprise edition is indicated. The library can be installed freely via pip from PyPI and the source is available on GitHub."
    }
  },
  "rate_limits": {},
  "capabilities": [
    "Read PDF files",
    "Create PDF files from scratch",
    "Manipulate existing PDF documents",
    "Python-native library (no REST API)",
    "Installable via pip",
    "Open-source (MIT or similar permissive license)",
    "Supports adding text, images, and shapes to PDFs",
    "Supports merging, splitting, and modifying PDF pages",
    "Includes layout and rendering primitives",
    "Suitable for developers building PDF generation or processing pipelines in Python"
  ],
  "raw_analysis": "borb (https://borbpdf.com) is not a hosted web service or REST API platform. It is an open-source Python library for reading, creating, and manipulating PDF files. As such, it has no base URL for API calls, no authentication scheme, no HTTP endpoints, and no rate limits. Integration happens at the code level: developers install it through pip (package name 'borb') and use its Python classes and functions within their own applications, scripts, or backend services. The project is aimed at Python developers who need programmatic PDF handling without relying on external SaaS APIs or manual PDF editing tools. Maturity is moderate to good: borb is actively maintained on GitHub, documented on borbpdf.com, and has a growing user base, but it is a niche library rather than a large ecosystem. Because it is a library, its 'pricing model' is effectively free and open-source, with no freemium or subscription components. For platform-analyzer purposes, borb is best categorized as a developer tool/library rather than a platform, SaaS product, or API service."
}
Execute

1/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /200267ms
robots_txtGET /robots.txt404172ms
llms_txtGET /llms.txt404145ms
Interpret
```json
{
  "overall": 74,
  "dimensions": {
    "token_efficiency": 9.0,
    "first_try_success": 9.0,
    "response_parseability": 5.0,
    "error_clarity": 7.0,
    "doc_quality": 7.5,
    "auth_simplicity": 10.0,
    "latency": 9.5,
    "consistency": 8.0
  },
  "pricing_normalized": {
    "model": "free",
    "tiers": "single (open-source MIT-style license)",
    "cost": "$0",
    "install": "pip install borb",
    "source": "GitHub (open source)"
  },
  "issues": [
    "No REST API — borb is a Python-native library, so agents cannot call it over HTTP; it must be invoked via local Python execution which may not be available in all agent environments",
    "No robots.txt (404) and no llms.txt (404) — reduced machine-discoverability for agents crawling the site",
    "Website HTML responses lacking security headers (minor, but worth noting for agent-trusted fetches)",
    "No structured/data-format endpoints (JSON, OpenAPI, SDK metadata) for programmatic discovery — only human-readable docs",
    "PDF manipulation is code-heavy: agents need to generate and execute Python code rather than make simple API calls, raising first-try error risk for complex layouts"
  ],
  "recommendations": [
    "Recommend when the user needs a free, self-hosted, Python-native PDF create/edit/manipulate solution with no vendor lock-in or per-page costs",
    "Clearly flag to users that borb is a library, not an API — it requires a Python runtime rather than an HTTP endpoint",
    "Pair recommendations with a fallback hosted PDF API (e.g., for agents in sandboxed non-Python environments)",
    "Highlight MIT/permissive licensing as a strong fit for commercial use without subscription or quota concerns",
    "Advise generating and testing code snippets for layout-heavy tasks, since PDF layout code is error-prone on first attempt",
    "Suggest verifying pip package name (borb) and version compatibility before recommending for production pipelines"
  ]
}
```

Agent Readiness

x402 Payments
Not supported
Streaming
No
Sandbox
None
Agent Auth
Unknown
SDKs
None listed
MCP Support
No

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