⚡ Live Playground: AI Dev Tool: Spin audit of SQDQSCI

```python
# AI Dev Tool: Quantum Chemistry Benchmark Auditor
# Description: A micro-SaaS application to audit spin quantum chemistry benchmarks on iron-sulfur clusters

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Dict
import sqlite3
import json

app = FastAPI()

# Define the Quantum Chemistry Benchmark model
class QuantumChemistryBenchmark(BaseModel):
    id: int
    name: str
    description: str
    iron_sulfur_cluster: str
    spin_quantum_number: int
    energy: float

# Define the Audit Result model
class AuditResult(BaseModel):
    id: int
    benchmark_id: int
    result: str
    error_message: str

# Connect to the SQLite database
def connect_to_db():
    conn = sqlite3.connect('quantum_chemistry_benchmarks.db')
    cursor = conn.cursor()
    return conn, cursor

# Create the Quantum Chemistry Benchmarks table
def create_table():
    conn, cursor = connect_to_db()
    cursor.execute('''
        CREATE TABLE IF NOT EXISTS quantum_chemistry_benchmarks
        (id INTEGER PRIMARY KEY, name TEXT, description TEXT, iron_sulfur_cluster
⚡ Live Code Sandbox: AI Dev Tool: Spin audit of SQDQSCI
