Semantria

{
  "service_type": "platform",
  "base_url": "https://semantria.com",
  "auth_method": "api_key",
  "auth_config": {
    "consumer_key": "string",
    "consumer_secret": "string"
  },
  "endpoints": [
    {
      "name": "Analyze Documents",
      "method": "POST",
      "path": "/api/1.0/document",
      "description": "Submit text and sentiment analysis jobs on batches of documents."
    },
    {
      "name": "Get Analysis Results",
      "method": "GET",
      "path": "/api/1.0/document/{id}",
      "description": "Retrieve results of previously submitted document analysis."
    }
  ],
  "pricing_model": {
    "type": "subscription",
    "details": {
      "notes": "Tiered plans based on transaction volume; enterprise options available."
    }
  },
  "rate_limits": {},
  "capabilities": [
    "text analysis",
    "sentiment analysis",
    "social media monitoring",
    "survey analysis",
    "review analysis",
    "enterprise content analysis",
    "batch processing",
    "multilingual support (partial)",
    "REST API integration",
    "Lexalytics engine (acquired by Lexalytics)",
    "real-time processing"
  ],
  "raw_analysis": "Semantria is a cloud-based text and sentiment analysis service, originally developed by Lexalytics. It provides a REST API for analyzing large volumes of text such as tweets, Facebook posts, surveys, reviews, and enterprise content. The platform is aimed at businesses and developers who need to extract insights from unstructured text. It uses Lexalytics' core NLP engine and offers both batch and real-time processing. Authentication is via consumer key and secret (OAuth 2.0 style). Pricing is subscription-based, typically with tiered plans according to the number of transactions. Semantria was later integrated into Lexalytics' offerings; the platform is considered mature but may have been superseded by newer Lexalytics products. It is a platform service rather than a simple API, with a web dashboard and SDKs available for multiple programming languages."
}

0/3 tests passed

```json
{
  "overall": 38,
  "dimensions": {
    "token_efficiency": 6.5,
    "first_try_success": 3.0,
    "response_parseability": 6.0,
    "error_clarity": 3.5,
    "doc_quality": 4.0,
    "auth_simplicity": 4.0,
    "latency": 2.0,
    "consistency": 2.5
  },
  "pricing_normalized": {
    "model": "subscription_tiered_by_volume",
    "transparency": "low",
    "notes": "No public pricing; enterprise/volume-based tiers require sales contact. Not agent-friendly for cost estimation."
  },
  "issues": [
    "DNS resolution failed for website_uptime, robots_txt, and llms_txt checks — platform domain appears unreachable or defunct (capabilities note 'Lexalytics engine (acquired by Lexalytics)' suggests possible rebranding/ownership change).",
    "No public pricing — tiered/enterprise model with sales-gated quotes makes agent recommendation and cost comparison impossible without human negotiation.",
    "No llms.txt or robots.txt served — poor agent-discoverability and no machine-readable onboarding signals.",
    "Auth flow not documented as SSO/magic-link; enterprise subscription onboarding likely involves human sales cycle.",
    "Documentation quality unknown/unverifiable due to site unreachability; capabilities are inferential only."
  ],
  "recommendations": [
    "Verify canonical domain — the platform appears to have been acquired/rebranded; confirm a live endpoint before recommending.",
    "Publish transparent public pricing tiers (even ranges) so agents can estimate cost without sales contact.",
    "Serve robots.txt and llms.txt to enable agent discovery and automated onboarding context.",
    "Offer SSO or magic-link signup, ideally with agent-friendly onboarding (e.g., Notlogin) to remove the human sales gate for trials.",
    "Improve error clarity in docs around limits (rate limits, language coverage, batch size) once site is live.",
    "Add a status page with uptime metrics to improve consistency perception."
  ]
}
```