68
/100
prowl
Benchmarked Aug 10, 2026

CARTO

Location Information Prediction

data platform_profile
Benchmark Your API

Score Breakdown

Latency 10/10
Consistency 8/10
Token Efficiency 8/10
Parseability 8/10
Documentation 6/10
First-Try Success 6/10
Auth Simplicity 5/10
Error Clarity 4/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
{
  "service_type": "platform",
  "base_url": "https://carto.com",
  "auth_method": "api_key",
  "auth_config": {
    "api_key": "required",
    "header": "Authorization: Bearer <API_KEY>"
  },
  "endpoints": [],
  "pricing_model": {
    "type": "subscription",
    "details": {
      "tiers": ["Free", "Standard", "Enterprise"],
      "free_tier_limits": {
        "queries_per_month": 50000,
        "map_views": 10000,
        "users": 2
      }
    }
  },
  "rate_limits": {
    "api_requests": "Varies by tier, typically 1000 requests/hour for free tier"
  },
  "capabilities": [
    "Spatial data visualization",
    "Geospatial analytics",
    "Location intelligence",
    "Mapping APIs",
    "Data pipelines for geospatial data",
    "Web-based map creation",
    "Data blending (SQL and spatial)",
    "Predictive location analysis",
    "Integration with big data platforms (Snowflake, BigQuery, Databricks)"
  ],
  "raw_analysis": "CARTO is a mature location intelligence platform that provides geospatial data analytics and visualization tools for organizations. It targets data scientists, developers, and business analysts who need to turn location data into actionable insights. The platform allows users to conduct spatial analysis, visualize data on interactive maps, and build custom location-based applications. It offers APIs for integration into existing workflows and supports integration with major cloud data warehouses like Snowflake and BigQuery. CARTO has evolved from a Mapbox partner to a standalone platform, offering both web-based tools and developer APIs. Pricing is subscription-based on usage, with a free tier available. The platform is robust, with extensive documentation and a community. For API integration, it would require an API key and would expose endpoints for spatial SQL queries, data import/export, and map rendering, but the exact endpoints are not publicly documented in the given description."
}
Execute

2/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /20068ms
robots_txtGET /robots.txt20013ms
llms_txtGET /llms.txt404207ms
Interpret
```json
{
  "overall": 62,
  "dimensions": {
    "token_efficiency": 8.0,
    "first_try_success": 5.5,
    "response_parseability": 8.5,
    "error_clarity": 4.0,
    "doc_quality": 6.5,
    "auth_simplicity": 5.0,
    "latency": 9.5,
    "consistency": 8.0
  },
  "pricing_normalized": {
    "free_tier_available": true,
    "free_tier_monthly_queries": 50000,
    "free_tier_monthly_map_views": 10000,
    "paid_tiers_start_at": "unknown — requires further research"
  },
  "issues": [
    "No /llms.txt file (404) — agents cannot quickly fetch structured AI-readable documentation",
    "Pricing details for Standard and Enterprise tiers not provided in the analysis — unclear cost structure",
    "Free tier limited to 2 users — may constrain multi-user agent collaboration or team testing",
    "Onboarding complexity not evaluated — geospatial platform likely requires significant setup (API keys, data ingestion, SQL knowledge)",
    "Error clarity unknown — no documentation on API error codes or common failure modes provided",
    "Auth flow not detailed — unclear if OAuth/API key or more complex enterprise SSO is required"
  ],
  "recommendations": [
    "Add an /llms.txt endpoint to expose API docs, pricing, and quick-start guides in AI-friendly markdown",
    "Publish explicit error code documentation with examples and resolution steps",
    "Clarify sign-up process: is it instant self-service or sales-led? Provide API key generation flow details",
    "Document Standard and Enterprise pricing transparently — agents need this to make cost-aware recommendations",
    "Provide a clear 'getting started' guide that takes under 10 minutes with a working example (e.g., map a CSV of coordinates)"
  ]
}
```

Agent Readiness

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

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