Unstructured

{
  "service_type": "platform",
  "base_url": "https://unstructured.io",
  "auth_method": "api_key",
  "auth_config": {
    "header": "unstructured-api-key",
    "location": "header",
    "notes": "API key required for hosted API. Open-source library requires no auth."
  },
  "endpoints": [
    {
      "name": "Partition (hosted API)",
      "path": "/general/v0/general",
      "method": "POST",
      "description": "Parse documents into structured JSON elements. Accepts files via multipart/form-data or URLs."
    },
    {
      "name": "Chunking (hosted API)",
      "path": "/general/v0/general",
      "method": "POST",
      "description": "Chunk documents into smaller pieces for LLM workflows (chunking_strategy parameter)."
    },
    {
      "name": "Workflows (hosted API)",
      "path": "/workflows",
      "method": "POST",
      "description": "Create and manage document processing workflows via Unstructured Serverless API."
    },
    {
      "name": "Python Library",
      "path": "N/A",
      "method": "N/A",
      "description": "Open-source Python package `unstructured` provides local partitioning, chunking, and cleaning functions."
    },
    {
      "name": "CLI",
      "path": "N/A",
      "method": "N/A",
      "description": "Command-line tool `unstructured-ingest` for data ingestion pipelines."
    }
  ],
  "pricing_model": {
    "type": "freemium",
    "details": {
      "free_tier": "Limited free credits on hosted API; open-source library is free.",
      "paid_tiers": "Usage-based billing for hosted API (per page or per compute unit).",
      "enterprise": "Custom pricing for high-volume, on-prem, or private cloud deployments."
    }
  },
  "rate_limits": {
    "hosted_api": "Rate limits vary by plan; typically requests per minute limits.",
    "open_source": "No rate limits (self-hosted)."
  },
  "capabilities": [
    "Parse PDFs, Word docs, PowerPoints, Excel, HTML, images, emails, and more into structured JSON.",
    "Extract text, tables, images, metadata, and layout information.",
    "Chunk documents into LLM-friendly segments with configurable strategies.",
    "Support for OCR (Tesseract, PaddleOCR) and vision models for image/PDF understanding.",
    "Pipeline for data ingestion from various sources (S3, GCS, Azure, local, etc.).",
    "Connect to vector databases (Pinecone, Weaviate, etc.) for RAG workflows.",
    "REST API for hosted serverless and cloud deployments.",
    "Open-source Python library and CLI for local processing.",
    "Enterprise deployment options (on-prem, private cloud)."
  ],
  "raw_analysis": "Unstructured is a document parsing platform designed to transform unstructured documents into structured data for LLM applications, RAG pipelines, and AI workflows. It targets AI engineers, data scientists, and enterprises building document-centric AI solutions. The platform offers an open-source Python library and CLI (free, self-hosted) as well as a hosted API (serverless or cloud) with API key authentication. The hosted API is accessible via REST endpoints and is typically used for scalable, managed parsing. Pricing is freemium for the hosted service, with enterprise tiers for high-volume or on-prem needs. Key integrations include vector databases, cloud storage providers, and workflow orchestration tools. The platform is mature, with active development on GitHub and widespread adoption in the AI community. Its core capabilities include multi-format document parsing, chunking, OCR, and metadata extraction. The primary API endpoint is /general/v0/general for partitioning and chunking. No public pricing details are listed on the homepage, but free credits and usage-based billing are typical. Rate limits are plan-dependent. The service is well-documented, with extensive resources for developers."
}

1/3 tests passed

{
  "overall": 74,
  "dimensions": {
    "token_efficiency": 8.0,
    "first_try_success": 7.5,
    "response_parseability": 9.0,
    "error_clarity": 7.0,
    "doc_quality": 8.0,
    "auth_simplicity": 7.0,
    "latency": 9.5,
    "consistency": 7.5
  },
  "pricing_normalized": {
    "model": "freemium",
    "free_tier": {
      "type": "limited_credits",
      "notes": "Open-source library free; hosted API has limited free credits"
    },
    "paid_tiers": {
      "type": "usage_based",
      "unit": "per_page_or_compute_unit",
      "notes": "Variable cost; must estimate page volume for predictable pricing"
    },
    "enterprise": {
      "type": "custom",
      "notes": "On-prem/private cloud available"
    },
    "predictability": "medium",
    "ambiguity_risk": "high for page-count estimation"
  },
  "issues": [
    {
      "severity": "medium",
      "issue": "No robots.txt (404) — crawler/indexing signals unclear for agents and search tooling"
    },
    {
      "severity": "medium",
      "issue": "No llms.txt (404) — no agent-oriented discovery/documentation surface"
    },
    {
      "severity": "medium",
      "issue": "Pricing is usage-based per page/compute; hard to estimate cost before first run without trial"
    },
    {
      "severity": "low",
      "issue": "Onboarding path split between open-source library (free, local) and hosted API (credits/billing) — decision friction for new users"
    },
    {
      "severity": "low",
      "issue": "Enterprise-only on-prem/private cloud not transparently scoped publicly"
    }
  ],
  "recommendations": [
    {
      "priority": "high",
      "action": "Publish a robots.txt and llms.txt exposing docs, API reference, and pricing endpoints for agent discovery"
    },
    {
      "priority": "high",
      "action": "Add an interactive pricing calculator (pages → $) so agents can estimate costs pre-signup"
    },
    {
      "priority": "medium",
      "action": "Provide a quickstart that unifies OSS and hosted paths — e.g., 'pip install' then one-line API call to hosted endpoint"
    },
    {
      "priority": "medium",
      "action": "Expose structured OpenAPI/JSON schema and a /status or /health endpoint for agent parseability and uptime checks"
    },
    {
      "priority": "low",
      "action": "Clarify tier limits and rate limits in docs to improve error clarity for agents hitting quotas"
    }
  ]
}