Prowl
77/100
prowl
Benchmarked Oct 15, 2026

Mypenny API Verified

Auto-registered via benchmark URL submission.

ai mcp_compliance
Benchmark Your API

Score Breakdown

Auth Simplicity10/10
Latency8/10
Consistency8/10
Documentation8/10
First-Try Success8/10
Parseability8/10
Token Efficiency7/10
Error Clarity6/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
MCP server at https://app.mypenny.ai/mcp (endpoint source: benchmark_guide)
Execute

2/2 tests passed

TestEndpointStatusLatency
mcp_initializePOST https://app.mypenny.ai/mcp200735ms
mcp_tools_listPOST https://app.mypenny.ai/mcp200319ms
Interpret
{
  "overall": 78,
  "dimensions": {
    "token_efficiency": 7.0,
    "first_try_success": 8.5,
    "response_parseability": 8.5,
    "error_clarity": 6.0,
    "doc_quality": 7.5,
    "auth_simplicity": 10.0,
    "latency": 8.5,
    "consistency": 7.5
  },
  "pricing_normalized": {},
  "issues": [
    "Tool list response preview is truncated before showing the full tool set, so token cost of discovery cannot be fully measured — the first tool description is verbose (multi-sentence) which inflates discovery tokens if similar across tools.",
    "No error-path evidence: we never triggered an invalid tool call, so error_clarity is inferred rather than observed.",
    "Tool response shapes for individual tool calls were not observed (only initialize and tools/list), so consistency is partially inferred.",
    "No observed auth requirement (auth_wall false) — good for agents, but we cannot confirm whether write tools later demand credentials."
  ],
  "recommendations": [
    "Trim tool descriptions; move long product/context guidance into a resource (SKILL.md) referenced by the description rather than inlined.",
    "Return a compact tool manifest with only name + one-line description by default, and expose full schemas on demand.",
    "Ensure invalid-parameter errors return JSON-RPC error objects with a machine-readable code and a corrective hint (e.g., expected field names/types).",
    "Document auth expectations explicitly so agents know whether reads are anonymous and which write tools require a token."
  ]
}

Agent Readiness

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

Vendor Profile

Penny gives AI assistants persistent memory across sessions and tools. Save and search notes, maintain profile context, and manage tasks, projects, trackers, and reusable skills through an OAuth-authorized MCP server.

Features

Hosted MCP server with Streamable HTTP transport and OAuth sign-inPersistent profile context and searchable notesTasks, projects, trackers, saved skills, and tagsMemory shared across AI tools the user authorizes

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