tempmail-pyzit 0.1.2

Official Python SDK for the Pyzit disposable email detector API

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The official Python SDK for the Pyzit Disposable Email Detector API

Stop fake signups. Block throwaway addresses. Protect your platform.

---

◈ What is this?

tempmail-pyzit is the official Python client for the Pyzit Disposable Email API — a service that detects throwaway, temporary, and fake email addresses in real time.

User submits email          SDK validates it              Your app decides
─────────────────           ─────────────────             ───────────────
[e-mail]  ──────► is_disposable: True  ──────►  ✗  Reject signup
[e-mail]  ──────► is_disposable: False ──────►  ✓  Allow signup

Works with Django, Flask, FastAPI, plain scripts — sync and async both supported out of the box.

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◈ Table of contents

• Installation
• Quick start
• API tiers
• All methods
  • check()
  • detailed()
  • bulk()
• Async usage
• Response models
• Error handling
• Framework integrations
• Configuration
• Development

---

◈ Installation

pip install tempmail-pyzit

Or with uv (recommended):

uv add tempmail-pyzit

Requirements: Python 3.9 or higher.

---

◈ Quick start

from tempmail_pyzit import TempMailClient

client = TempMailClient("YOUR_API_TOKEN")

result = client.check("[e-mail]")

if result.is_disposable:
    print("❌ Disposable email — rejected")
else:
    print("✅ Looks clean — allowed")

Get your API token at temp-mail-detector.pyzit.com.

Tip: Store your token in an environment variable, never hard-code it.

import os
client = TempMailClient(os.environ["PYZIT_TOKEN"])

---

◈ API tiers

Three endpoints, three plan levels. Use only what you need.

┌─────────────────────────────────────────────────────────────────────┐
│                         ENDPOINT OVERVIEW                           │
├──────────────────┬─────────────┬──────────────────────────────────┤
│  Method          │  Plan       │  What you get                    │
├──────────────────┼─────────────┼──────────────────────────────────┤
│  client.check()  │  Free       │  is_disposable + status          │
│  client.detailed()│  Pro       │  DNS, signals, risk score, reco  │
│  client.bulk()   │  Business   │  Up to 100 emails, one request   │
└──────────────────┴─────────────┴──────────────────────────────────┘

---

◈ All methods

CheckResult ← check(email: str)

The fastest check. One email in, one decision out. Free tier.

result = client.check("[e-mail]")

result.email          # "[e-mail]"
result.is_disposable  # True
result.status         # "disposable"
result.is_clean       # False  (convenience property, opposite of is_disposable)

Response shape:

CheckResult
├── email           str    — the email you submitted
├── is_disposable   bool   — True = block it
├── status          str    — "clean" | "disposable"
└── is_clean        bool   — shorthand for not is_disposable

---

DetailedResult ← detailed(email: str)

Full forensic analysis. DNS records, SMTP probing, reputation scoring, domain age, signal breakdown. Pro tier.

result = client.detailed("[e-mail]")

result.risk_level       # "high"
result.recommendation   # "reject"
result.reputation_score # 0.0
result.should_reject    # True  (convenience property)

# DNS intelligence
result.details.dns_intelligence.has_mx      # False
result.details.dns_intelligence.has_spf     # False

# Signal breakdown
result.details.signals.negative  # ["no_mx_records", "new_domain", ...]
result.details.signals.positive  # []

# Domain stability
result.details.stability.domain_age_days  # 0
result.details.stability.is_new_domain    # True

Response shape:

DetailedResult
├── email              str
├── domain             str
├── is_disposable      bool
├── status             str
├── reputation_score   float   — 0.0 (worst) to 1.0 (best)
├── risk_level         str     — "low" | "medium" | "high"
├── recommendation     str     — "accept" | "review" | "reject"
├── should_reject      bool    — shorthand: recommendation == "reject"
└── details
    ├── reputation
    │   ├── reputation_score      float
    │   ├── is_disposable         bool
    │   ├── disposable_confidence float
    │   ├── risk_level            str
    │   └── recommendation        str
    ├── signals
    │   ├── positive   list[str]  — trust signals
    │   ├── negative   list[str]  — risk signals
    │   └── neutral    list[str]  — ambiguous signals
    ├── dns_intelligence
    │   ├── has_mx       bool
    │   ├── mx_records   list[str]
    │   ├── has_a_record bool
    │   ├── has_spf      bool
    │   ├── has_dmarc    bool
    │   └── error        str | None
    └── stability
        ├── stability_score   float
        ├── domain_age_days   int
        ├── is_new_domain     bool
        └── risk_factors      list[str]

---

BulkResult ← bulk(emails: list[str])

Validate up to 100 emails in a single API call. Business tier.

result = client.bulk([
    "[e-mail]",
    "[e-mail]",
    "[e-mail]",
])

result.processed          # 3
result.results            # {"[e-mail]": False, "[e-mail]": True, ...}

result.disposable_emails() # ["[e-mail]", "[e-mail]"]
result.clean_emails()      # ["[e-mail]"]

Response shape:

BulkResult
├── results             dict[str, bool]  — {email: is_disposable}
├── processed           int              — number of emails processed
├── disposable_emails() list[str]        — emails where is_disposable=True
└── clean_emails()      list[str]        — emails where is_disposable=False

---

◈ Async usage

AsyncTempMailClient is a drop-in replacement for async codebases. The method signatures are identical — just add await.

from tempmail_pyzit import AsyncTempMailClient

client = AsyncTempMailClient("YOUR_API_TOKEN")

# anywhere inside an async function:
result = await client.check("[e-mail]")
result = await client.detailed("[e-mail]")
result = await client.bulk(["[e-mail]", "[e-mail]"])

Both clients share the same response models, exceptions, and behaviour. There is no functional difference other than async/await.

---

◈ Response models

All responses are fully typed Pydantic v2 models. You get autocomplete, runtime validation, and type safety for free.

tempmail_pyzit.models
│
├── CheckResult          ← client.check()
├── DetailedResult       ← client.detailed()
│   └── DetailedDetails
│       ├── ReputationDetail
│       ├── Signals
│       ├── DnsIntelligence
│       └── StabilityInfo
└── BulkResult           ← client.bulk()

---

◈ Error handling

All SDK errors inherit from PyzitError, so you can catch everything at one level or be specific.

PyzitError                    ← catch-all for any SDK error
├── AuthenticationError       ← HTTP 401 — bad or missing token
├── PlanRequiredError         ← HTTP 402/403 — need a higher plan
│   └── .required_plan        ← str, e.g. "pro" or "business"
├── RateLimitError            ← HTTP 429 — slow down
│   └── .retry_after          ← int, seconds to wait
├── APIError                  ← any other non-2xx response
│   ├── .status_code          ← int
│   └── .response_body        ← str, raw body for debugging
└── TimeoutError              ← request took too long

Recommended pattern — catch specific errors:

from tempmail_pyzit import (
    TempMailClient,
    AuthenticationError,
    PlanRequiredError,
    RateLimitError,
    APIError,
    TimeoutError,
    PyzitError,
)
import time

client = TempMailClient("YOUR_TOKEN")

try:
    result = client.check("[e-mail]")

except AuthenticationError:
    # token is wrong — fail fast, don't retry
    raise SystemExit("Check your PYZIT_TOKEN environment variable.")

except PlanRequiredError as e:
    # you called an endpoint above your plan
    print(f"Upgrade to {e.required_plan} to use this feature.")

except RateLimitError as e:
    # back off and retry
    time.sleep(e.retry_after)
    result = client.check("[e-mail]")

except TimeoutError:
    # API too slow — decide how to handle in your app
    print("Pyzit API timed out — allowing email through.")

except APIError as e:
    # unexpected server error
    print(f"Unexpected error {e.status_code}: {e.response_body}")

except PyzitError:
    # fallback for any other SDK error
    print("Something went wrong with the Pyzit SDK.")

Minimal pattern — just block disposables, ignore errors gracefully:

def is_allowed(email: str) -> bool:
    try:
        return not client.check(email).is_disposable
    except PyzitError:
        return True  # fail open — let the email through if API is down

---

◈ Framework integrations

Django

# validators.py
from django.core.exceptions import ValidationError
from tempmail_pyzit import TempMailClient, PyzitError
import os

_client = TempMailClient(os.environ["PYZIT_TOKEN"])

def validate_no_disposable_email(value: str) -> None:
    try:
        result = _client.check(value)
        if result.is_disposable:
            raise ValidationError(
                "Disposable email addresses are not allowed. "
                "Please use your real email."
            )
    except PyzitError:
        pass  # fail open if API is unreachable

# models.py
from django.db import models
from .validators import validate_no_disposable_email

class UserProfile(models.Model):
    email = models.EmailField(validators=[validate_no_disposable_email])

---

FastAPI

from fastapi import FastAPI, HTTPException
from tempmail_pyzit import AsyncTempMailClient, PyzitError
import os

app = FastAPI()
client = AsyncTempMailClient(os.environ["PYZIT_TOKEN"])

@app.post("/register")
async def register(email: str):
    try:
        result = await client.check(email)
    except PyzitError:
        pass  # fail open
    else:
        if result.is_disposable:
            raise HTTPException(
                status_code=422,
                detail="Disposable email addresses are not permitted."
            )
    return {"status": "ok", "email": email}

---

Flask

from flask import Flask, request, jsonify
from tempmail_pyzit import TempMailClient, PyzitError
import os

app = Flask(__name__)
client = TempMailClient(os.environ["PYZIT_TOKEN"])

@app.route("/register", methods=["POST"])
def register():
    email = request.json.get("email", "")
    try:
        result = client.check(email)
        if result.is_disposable:
            return jsonify({"error": "Disposable emails not allowed."}), 422
    except PyzitError:
        pass  # fail open
    return jsonify({"status": "ok"})

---

◈ Configuration

Both TempMailClient and AsyncTempMailClient accept the same options:

client = TempMailClient(
    api_token = "YOUR_TOKEN",   # required
    timeout   = 10.0,           # seconds, default 10.0
    base_url  = "https://api-tempmail.pyzit.com/v1",  # override for testing
)

Parameter	Type	Default	Description
api_token	str	—	Your Pyzit API token (required)
timeout	float	10.0	Request timeout in seconds
base_url	str	https://api-tempmail.pyzit.com/v1	Override for local testing / mocks

---

◈ Development

This project is built with uv.

# clone
git clone https://github.com/pyzit-org/temp-mail-detector-sdk-python.git
cd temp-mail-detector-sdk-python

# install all dev dependencies
uv sync --extra dev

# run tests (no real API calls — all HTTP is mocked)
uv run pytest -v

# lint
uv run ruff check . --fix
uv run ruff format .

# type check (strict mypy)
uv run mypy src/

# build distribution
uv build

Project layout:

src/tempmail_pyzit/
├── __init__.py        ← public API surface
├── exceptions.py      ← all custom error classes
├── models.py          ← pydantic response types
├── _http.py           ← shared transport (headers, error handling)
├── client.py          ← TempMailClient (sync)
└── async_client.py    ← AsyncTempMailClient (async)

tests/
├── conftest.py        ← shared fixtures
├── test_client.py     ← sync client tests
├── test_async_client.py
└── test_models.py

---

◈ Changelog

See CHANGELOG.md.

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◈ License

MIT © Pyzit

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Built with care by the Pyzit team · https://pyzit.com