Prowl
68/100
prowl
Benchmarked Oct 01, 2026

Conquer Fear Verified

Fear ladders for your assistant: small exposure steps, logged attempts, real progress. Remote MCP server with OAuth 2.1.

apimcphealth platform_profile
Benchmark Your API

Score Breakdown

Latency9/10
Token Efficiency8/10
Consistency7/10
Parseability7/10
Documentation6/10
Error Clarity6/10
First-Try Success6/10
Auth Simplicity5/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
{
  "service_type": "platform",
  "base_url": "https://api.lifeisagame.ai/mcp/conquer-fear",
  "auth_method": "oauth2",
  "auth_config": {
    "grant_types": ["authorization_code", "refresh_token"],
    "pkce": true,
    "dynamic_client_registration": true,
    "refresh_token_rotation": true,
    "reuse_detection": true,
    "scopes": ["read", "write"],
    "consent_page": "hosted by Conquer Fear (lifeisagame.ai)",
    "revocation": "per-assistant revocation from the iOS app settings",
    "protocol": "MCP over HTTP (remote MCP server)"
  },
  "endpoints": [
    {
      "name": "MCP endpoint",
      "method": "POST",
      "path": "https://api.lifeisagame.ai/mcp/conquer-fear",
      "description": "Remote MCP (Model Context Protocol) server endpoint. Exposes 10 tools and 3 guided prompts over the MCP JSON-RPC transport rather than a REST API."
    }
  ],
  "pricing_model": {
    "type": "freemium",
    "details": {
      "note": "Free to connect the MCP server; Premium is an in-app subscription within the Conquer Fear iOS app",
      "currency": "USD",
      "free_tier": true,
      "starting_at": "$0",
      "free_tier_limits_enforced": "Yes — free-tier limits, proof gates, and progress rules are enforced by the same handlers the iOS app uses"
    }
  },
  "rate_limits": {},
  "capabilities": [
    "Read today's exposure step",
    "Read the full fear ladder with fear ratings",
    "Read progress and recent attempts",
    "Draft a fear ladder",
    "Break an exposure step into smaller steps",
    "Log an attempt with anxiety before and after values",
    "Mark a step as done",
    "Guided prompt: build a ladder",
    "Guided prompt: plan today's step",
    "Guided prompt: debrief an attempt",
    "Carries product coaching rules in server instructions (one clear next action, keep steps small, avoid reassurance loops)",
    "Read-only connection mode for assistants that should not write",
    "Enforces app-level free-tier limits, proof gates, and progress rules on every write"
  ],
  "raw_analysis": "Conquer Fear is a remote MCP (Model Context Protocol) server, not a REST API. It exposes an assistant-facing interface to a single Conquer Fear account — the underlying product is an iOS app (https://lifeisagame.ai/conquer-fear) that turns a specific fear into a graded exposure ladder and tracks logged attempts with before/after anxiety ratings. The server URL given (https://api.lifeisagame.ai/mcp/conquer-fear) is the MCP endpoint itself; there is no conventional public REST surface documented.\n\nWho it's for: people practising exposure therapy-style exercises for a specific fear who are already Conquer Fear app users, and assistant users who want their practice tracked in the app rather than only discussed in chat. Maturity: the vendor describes a fairly complete OAuth 2.1 implementation — authorization code with PKCE, dynamic client registration, refresh token rotation with reuse detection, a hosted consent page, and per-assistant revocation from app settings. It also exposes a read-only connection mode. Ten tools cover the core read/write loop (today's step, ladder with fear ratings, progress, recent attempts; draft ladder, break step down, log attempt, mark done). Three guided prompts (build a ladder, plan today's step, debrief an attempt) support the intended workflow. Notably, the server embeds the product's coaching rules in its instructions so a general-purpose assistant behaves consistently with the app's methodology (one clear next action, small steps, no reassurance loops).\n\nIntegrations listed: Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf. Onboarding requires the iOS app and an account first; then add the MCP server URL to an MCP client and sign in on Conquer Fear's own consent page, choosing read-only or read+write. Pricing: free to connect; Premium is an in-app subscription. Free-tier limits, proof gates, and progress rules are enforced server-side through the same handlers as the app. No public rate limits are documented. Because access is OAuth-gated per account and mediated by MCP tooling rather than a documented REST API, programmatic integration outside an MCP client is not supported. Treat this as a platform/MCP service with an auth-gated, non-REST interface."
}
Execute

0/4 tests passed

TestEndpointStatusLatency
website_uptimeGET /401502ms
robots_txtGET /robots.txt404242ms
llms_txtGET /llms.txt404249ms
signup_pageGET /401250ms
Interpret
{
  "overall": 62,
  "dimensions": {
    "token_efficiency": 8.0,
    "first_try_success": 6.0,
    "response_parseability": 7.0,
    "error_clarity": 6.0,
    "doc_quality": 6.0,
    "auth_simplicity": 5.0,
    "latency": 9.0,
    "consistency": 7.0
  },
  "pricing_normalized": {
    "model": "freemium",
    "free_tier": true,
    "starting_at_usd": 0,
    "premium_note": "Premium is an in-app subscription within the Conquer Fear iOS app; free-tier limits enforced server-side"
  },
  "issues": [
    "No llms.txt or robots.txt surface (404), so agents cannot self-discover usage guidance or crawl policy at the MCP path",
    "Auth is a bearer-token MCP endpoint; missing Authorization header returns 401 with no indication of how to obtain a token for agent-driven onboarding",
    "signup_page returns 401 rather than a human/agent-readable signup flow — onboarding path is unclear from the endpoint surface",
    "Documentation is not discoverable from the probed endpoints; capability details are only conveyed via structured metadata",
    "No security headers on the 401 responses (inconsistent with robots/llms checks)",
    "Value prop is narrowly scoped (exposure-therapy companion), limiting general agent recommendation breadth"
  ],
  "recommendations": [
    "Publish /llms.txt and /robots.txt under the MCP path to enable agent self-discovery and compliant crawling",
    "Provide a documented token-acquisition flow (or OAuth/magic-link) so agents can onboard without a human dance",
    "Return structured, machine-parseable error bodies with a remediation hint (e.g., how to get a token) instead of bare 401",
    "Add a public getting-started/help page describing the MCP tools, guidance rules, and free-tier limits",
    "Apply security headers consistently across all endpoints",
    "Clarify the in-app Premium relationship so agents can accurately describe upgrade paths"
  ]
}

Agent Readiness

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

Vendor Profile

Conquer Fear turns a fear into a ladder of small, specific exposure steps and tracks what the person actually did about them. This server gives an assistant read and write access to one account over OAuth: today's step, the full ladder with fear ratings, progress, and recent attempts, plus drafting a ladder, breaking a step into smaller ones, logging an attempt with anxiety before and after, and marking a step done. Every write goes through the same handlers the iOS app uses, so free-tier limits, proof gates and progress rules apply to an assistant exactly as they do in the app. The server also carries the product's coaching rules, so a general assistant gives one clear next action, keeps steps small, and does not run reassurance loops.

Features

ten tools covering reads and writesthree guided prompts: build a ladder, plan today's step, debrief an attemptOAuth 2.1 with PKCE and dynamic client registrationread-only connections for assistants that should not writerefresh token rotation with reuse detectionevery connected assistant revocable from the app's settingscoaching rules carried in the server instructions, not left to the model

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