AI Code Review (Bugs, Security & Style Issues)

omnial/x402-code-review

Given a code snippet (with an optional focus area -- security, performance, readability, bugs, or all -- and an optional language hint), returns an automated review: an overall quality score, a list of issues each with a severity, category, line number, and a fix suggestion, plus a plain-language summary, quick wins, security flags, and positive aspects. Your input is sent to an outside service for processing; remove secrets and personal data first.

activeper callv4

Price

Up to $0.325 per call; you pay what the call used

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $5.00.

Data source

Anthropic

Generated by Anthropic's Claude from the inputs you provide.

Use it

Your AI assistant does the work: it finds this tool, shows you the price first, runs it, and you are charged when the run finishes. There is nothing to set up for this tool in particular.

Connect once and your AI can find and run this tool, and any other it needs.

Install it Create an account

For developers: the calls your assistant makes

agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/x402-code-review" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/x402-code-review" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/x402-code-review", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/x402-code-review", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.325

Updated: Oct 27, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "code"
  ],
  "properties": {
    "code": {
      "type": "string"
    },
    "focus": {
      "type": "string",
      "description": "security/performance/readability/bugs/all"
    },
    "language": {
      "type": "string"
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "properties": {
    "focus": {
      "type": "string",
      "description": "The review focus actually used, echoing the caller's `focus` input (e.g. 'security', 'bugs')."
    },
    "issues": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "category": {
            "type": "string",
            "description": "Observed values: 'security', 'readability', 'bug', 'performance', 'style'."
          },
          "severity": {
            "type": "string",
            "description": "Observed values: 'critical', 'high', 'medium', 'low'."
          },
          "description": {
            "type": "string",
            "description": "Human-readable explanation of the issue."
          },
          "line_number": {
            "type": [
              "number",
              "null"
            ],
            "description": "1-based line number the issue applies to. Observed null on one issue that applies to the code as a whole rather than a single line (a missing docstring section)."
          },
          "fix_suggestion": {
            "type": "string",
            "description": "A concrete suggested fix, often including example code."
          }
        },
        "additionalProperties": true
      },
      "description": "Every issue found. Observed as a populated array (5 entries) on a vulnerable snippet and a short array (2 entries, both low severity) on a clean one -- never absent, but can be empty for flawless code."
    },
    "summary": {
      "type": "string",
      "description": "A short, plain-language summary of the review's overall findings."
    },
    "quick_wins": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Short, actionable improvement suggestions, distinct from the per-issue `fix_suggestion` text."
    },
    "code_length": {
      "type": "number",
      "description": "Character length of the submitted `code` input."
    },
    "overall_score": {
      "type": "number",
      "description": "An overall code quality score. Observed 15 (critical security issue present) and 85 (clean, minor style notes only) in testing -- a 0-100 scale, lower is worse."
    },
    "security_flags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Short security-risk labels. Observed as a populated array on a vulnerable snippet and an empty array on a clean one."
    },
    "positive_aspects": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "What the submitted code does well. Observed as a single entry on a flawed snippet and multiple entries on a clean one."
    },
    "language_detected": {
      "type": "string",
      "description": "The programming language the endpoint detected or used, e.g. 'javascript', 'python'."
    }
  },
  "description": "The code review result.",
  "additionalProperties": true
}