Prowl
46/100
prowl
Benchmarked Sep 27, 2026

SheerSEO API

Sheerseo API has 2 stages:<br>First stage - initiating the task: You fill in your task and receive in return the task id. <br>Second stage - collecting the results: send a request containing the task

aiapi platform_profile
Benchmark Your API

Score Breakdown

Token Efficiency7/10
Parseability6/10
Latency4/10
Auth Simplicity4/10
Consistency3/10
Documentation3/10
Error Clarity3/10
First-Try Success3/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
{
  "service_type": "platform",
  "base_url": "https://www.sheerseo.com",
  "auth_method": "unknown",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {
    "type": "unknown",
    "details": {}
  },
  "rate_limits": {},
  "capabilities": [
    "SEO monitoring",
    "Asynchronous two-stage API workflow",
    "Task initiation returning task ID",
    "Task result retrieval"
  ],
  "raw_analysis": "SheerSEO is an SEO monitoring platform offering an API with an asynchronous two-stage workflow. Stage one: a client submits a task and receives a task ID in return. Stage two: the client sends a follow-up request containing the task ID to collect results. The provided URL points to a support page (https://www.sheerseo.com/seo-monitoring-tools/support.html) rather than API documentation, so detailed endpoint paths, authentication method (API key, token, or none), rate limits, and pricing model could not be determined from the available information. The service is categorized under AI/API. No public REST endpoint list, auth configuration, or rate-limit details were disclosed. The platform appears aimed at SEO professionals and developers seeking programmatic access to SEO monitoring data. Maturity and integration surface area are unclear due to the lack of accessible documentation."
}
Execute

0/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /None508ms
robots_txtGET /robots.txtNone257ms
llms_txtGET /llms.txtNone199ms
Interpret
{
  "overall": 38,
  "dimensions": {
    "token_efficiency": 7.0,
    "first_try_success": 3.0,
    "response_parseability": 6.0,
    "error_clarity": 3.0,
    "doc_quality": 3.0,
    "auth_simplicity": 4.0,
    "latency": 4.0,
    "consistency": 3.0
  },
  "pricing_normalized": {
    "type": "unknown",
    "details": {}
  },
  "issues": [
    "SSL certificate verification fails on all three checks (website_uptime, robots_txt, llms_txt) — unable to get local issuer certificate, indicating an incomplete or misconfigured TLS certificate chain. This blocks programmatic access entirely.",
    "No llms.txt or robots.txt retrievable — agents cannot discover capabilities or crawl policy.",
    "No security headers detected (unassessable due to SSL failure).",
    "Pricing model is unknown/undocumented — agents cannot advise users on cost.",
    "Async two-stage API workflow (task ID then poll for result) adds round-trips and complexity for agent orchestration.",
    "No status page, uptime, or reliability documentation found."
  ],
  "recommendations": [
    "Fix TLS certificate chain by including intermediate certificates — use a complete CA bundle so standard clients (and agents) can verify the connection.",
    "Publish a robots.txt and llms.txt describing capabilities, endpoints, and crawl policy so AI agents can self-discover.",
    "Document pricing clearly, including any free tier or rate limits.",
    "Provide a synchronous or single-call result option, or webhook callbacks, to reduce polling overhead in the async workflow.",
    "Add clear getting-started docs, auth instructions, and a public status page to improve onboarding and reliability trust.",
    "Consider SSO/magic-link auth (e.g., notlogin.com verified identity) to simplify agent onboarding."
  ]
}

Agent Readiness

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

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