AI: Code 10 credits LLM

Code Review API

Automatically review code for bugs, security vulnerabilities, and performance issues using Claude AI via REST API. Submit any code snippet or function and receive structured findings with severity ratings and suggested fixes.

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How it works

POST a code string and optional language hint. The API sends it to Claude with a code-review system prompt that identifies bugs (logic errors, null pointer risks), security issues (injection, hardcoded secrets, insecure defaults), performance problems, and style issues.

Use cases

Integrate AI code review into CI/CD pipelines as a quality gate
Review code submitted by contractors or new team members automatically
Audit legacy codebases for security vulnerabilities in bulk
Build code quality dashboards that score PRs before human review

API Reference

POST https://slopshop.gg/v1/llm-code-review
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

Input parameters

Parameter	Type	Required	Description
`text`	string	required	The text to process with AI
`options`	object	optional	Optional configuration (format, length, etc.)

Example response

{
  "data": {
    "result": "AI-generated result based on your input.",
    "model": "claude-3-5-sonnet",
    "tokens_used": 150
  },
  "meta": {
    "credits_used": 10,
    "engine": "real",
    "ms": 4
  }
}

Examples

Three real-world scenarios showing how developers use Code Review in production.

Example 1

Review authentication code

Check an auth function for security vulnerabilities before shipping.

curl -X POST https://slopshop.gg/v1/llm-code-review \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"code": "function login(user, pass) {\n  const row = db.query(`SELECT * FROM users WHERE email='${user}'`);\n  if (row.password === pass) return generateToken(row);\n}", "language": "javascript"}'

Example 2

Review data processing logic

Audit a data transformation function for bugs and edge cases.

curl -X POST https://slopshop.gg/v1/llm-code-review \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"code": "def calculate_discount(price, coupon):\n  if coupon == 'SAVE10':\n    return price * 0.9\n  if coupon == 'HALF':\n    return price / 2\n  return price", "language": "python"}'

Example 3

Review CI script

Check a deployment script for reliability issues.

curl -X POST https://slopshop.gg/v1/llm-code-review \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"code": "rm -rf ./dist && npm run build && cp -r ./dist /var/www/html && echo Done", "language": "bash"}'

Code examples

curl

curl -X POST https://slopshop.gg/v1/llm-code-review \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": "your data here"}'

Python

import requests

response = requests.post(
    "https://slopshop.gg/v1/llm-code-review",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={"input": "your data here"}
)
result = response.json()
print(result["data"])

Node.js

const response = await fetch("https://slopshop.gg/v1/llm-code-review", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({ input: "your data here" })
});
const { data } = await response.json();
console.log(data);

CLI

# Install the Slopshop CLI
npm install -g slopshop

# Set your API key
export SLOPSHOP_KEY=your_api_key

# Call llm-code-review
slop llm-code-review '{"input": "your data here"}'

Pricing

Credits per call

credits

Cost per call

$0.01

at Starter tier

Tier

LLM

Requires LLM key

Credits are purchased in bundles starting at $1 for 1,000 credits. All compute APIs like this one use 10 credits per call — that's $0.01. See all pricing tiers.

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