Grade Book Analysis Agent

import requests, json, pandas as pd

API_GRADES = "https://api.univ.edu/v1/grades"

def fetch_gradebook():
    resp = requests.get(API_GRADES)
    return resp.json().get("grades", [])

def analyze_grades(grades):
    df = pd.DataFrame(grades)
    df["avg"] = df[["attendance","assignment","exam"]].mean(axis=1)
    result = {
        "course_avg": df.groupby("course")["avg"].mean().to_dict(),
        "pass_rate": (df["avg"] >= 50).mean() * 100,
        "top_performers": df.nlargest(5, "avg").to_dict("records")
    }
    return result

report = analyze_grades(fetch_gradebook())
print(json.dumps(report))