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Scenario

Pull disputes, categorize by reason code (product_not_received, duplicate, fraudulent, etc.), and use Mavera’s structured-output chat to rewrite product descriptions and checkout copy. JSON output feeds directly into a CMS or A/B test.

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Architecture

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Code

import os, json, stripe, requests
from collections import defaultdict

stripe.api_key = os.environ["STRIPE_API_KEY"]
MAVERA_API_KEY = os.environ["MAVERA_API_KEY"]
MAVERA_BASE = "https://app.mavera.io/api/v1"

def fetch_disputes():
    cats = defaultdict(lambda: {"count": 0, "examples": []})
    for d in stripe.Dispute.list(limit=100).auto_paging_iter():
        cats[d.reason]["count"] += 1
        if len(cats[d.reason]["examples"]) < 3:
            cats[d.reason]["examples"].append({"dispute_id": d.id, "amount": d.amount / 100,
                "product_description": (d.evidence or {}).get("product_description", "")})
    return dict(cats)

def rewrite_copy_for_reason(reason, data):
    schema = {"type": "object", "properties": {
        "reason_code": {"type": "string"},
        "original_issues": {"type": "array", "items": {"type": "string"}},
        "revised_product_description": {"type": "string"},
        "revised_checkout_message": {"type": "string"},
        "revised_confirmation_email_snippet": {"type": "string"},
    }, "required": ["reason_code", "original_issues", "revised_product_description",
                     "revised_checkout_message", "revised_confirmation_email_snippet"]}
    resp = requests.post(f"{MAVERA_BASE}/responses", json={
        "input": [
            {"role": "system", "content": "You are a conversion copywriter reducing chargebacks."},
            {"role": "user", "content": f"{data['count']} disputes for '{reason}':\n"
                f"{json.dumps(data['examples'], indent=2)}\n\n"
                "Rewrite the product description, checkout message, and confirmation email."},
        ],
        "response_format": {"type": "json_schema", "json_schema": {"name": "dispute_fix", "schema": schema}},
        "max_tokens": 1500,
    }, headers={"Authorization": f"Bearer {MAVERA_API_KEY}"})
    resp.raise_for_status()
    return json.loads(resp.json()["choices"][0]["message"]["content"])

for reason, data in fetch_disputes().items():
    if data["count"] >= 2:
        print(f"\n=== {reason} ({data['count']}) ===")
        print(json.dumps(rewrite_copy_for_reason(reason, data), indent=2))

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Example Output

{
  "reason_code": "product_not_received",
  "original_issues": [
    "Says 'instant delivery' but fulfillment takes 2-4 hours",
    "No confirmation page after purchase"
  ],
  "revised_product_description": "Digital access within 4 hours. Email with credentials and dashboard link.",
  "revised_checkout_message": "Credentials arrive via email within 2-4 hours. Confirmation page appears immediately.",
  "revised_confirmation_email_snippet": "Access provisioned — login details within 4 hours. Order #{{order_id}}."
}

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Error Handling

Older disputes may have sparse evidence. Skip empty product_description examples — reason code and amount alone produce useful recommendations.
Simplify the schema and retry. Set "strict": true inside json_schema to force adherence (may increase latency).