fragment-api-py 8.1.0

Async Python library for Fragment.com API with seqno/balance confirmation and confirmReq

Fragment API Python SDK

Professional Python library for Fragment.com automation
v8.0.0 — No KYC Mode | Batch Operations | EVM Payments | Live Stats Dashboard

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Feature	Description
No KYC Mode	Operate without Fragment cookies or account. Execute purchases and giveaways directly via a hosted REST API (fragment-api.tech).
Batch Operations	Execute multiple sequential transactions easily with batch_purchase_stars, batch_purchase_premium, and batch_topup_ton.
EVM Payments	Native support for 5 EVM methods: usdt_eth, usdt_pol, usdc_eth, usdc_base, usdc_pol.
Anonymous Telemetry	Helps improve the library. No sensitive data is ever sent. View stats at fragment.s1qwy.ru/statistic.

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• Async-only — FragmentClient with full async/await support.
• Two Operating Modes — Full mode (with cookies) and No-Cookie Mode (No KYC required).
• Purchases — Stars (50–10M), Premium (3/6/12 months), TON Ads.
• Giveaways — Stars and Premium for channels (up to 24k winners).
• Bids — place_bid(item_type=1|3|5, slug, bid) — instant buy if bid = buy-now price.
• Marketplace — Search usernames, numbers, gifts with filters and pagination.
• Wallet — V4R2 and V5R1 (W5) support.
• Auto-authentication — Obtain cookies via TON wallet and Telegram.
• Anonymous numbers — Manage login codes, terminate sessions (+888).
• NFT Management — Withdraw gifts to wallet, transfer to users.

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pip install fragment-api-py

• Python 3.10+
• TON wallet seed phrase (12/18/24 words)
• Fragment cookies (optional, only for full functionality)

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The library now supports two operating modes depending on your privacy needs and workflow:

1. No KYC / No-Cookie Mode

Perfect for automated systems that do not want to manage Fragment cookies or pass KYC verifications. By initializing the client without cookies, operations utilize the hosted fragment-api.tech REST API to securely obtain unsigned transaction payloads, sign them locally with your seed, and broadcast them to the network. Note: EVM payment methods are not supported in No-Cookie mode (TON and USDT on TON only).

Supported No-Cookie Methods:

• purchase_stars
• purchase_premium
• topup_ton
• giveaway_stars
• giveaway_premium
• All batch_* variants of the above

2. Full Mode

Pass your Fragment session cookies (stel_ssid, stel_dt, stel_token, stel_ton_token) to access the entirety of Fragment's API, including marketplace operations, EVM payments, NFT management, and My Assets.

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No KYC Mode Example

import asyncio
from FragmentAPI import FragmentClient

async def main():
    # Initialize WITHOUT cookies
    async with FragmentClient(
        seed="24 words...",
        wallet_version="V5R1"
    ) as client:
        
        # Wallet info
        wallet = await client.get_wallet()
        print(f"Balance: {wallet.balance_ton} TON, {wallet.balance_usdt} USDT")
        
        # Purchase stars without a Fragment account!
        result = await client.purchase_stars("@durov", 100)
        print(f"TX: {result.transaction_id}")
        
        # Execute batch operations
        batch = await client.batch_purchase_premium([
            {"username": "@durov", "months": 3},
            {"username": "@telegram", "months": 6}
        ])
        print(f"Succeeded: {batch.succeeded}/{batch.total}")

asyncio.run(main())

Full Mode Example

import asyncio
from FragmentAPI import FragmentClient
from FragmentAPI.types.results import EvmPaymentResult

async def main():
    # Initialize WITH cookies for full functionality
    async with FragmentClient(
        seed="24 words...",
        cookies={"stel_ssid": "...", "stel_token": "...", "stel_dt": "...", "stel_ton_token": "..."},
        wallet_version="V5R1",
    ) as client:
        
        # EVM payment (returns invoice)
        result = await client.purchase_stars("@durov", 50, payment_method="usdc_base")
        if isinstance(result, EvmPaymentResult):
            inv = result.invoice
            print(f"Send {inv.invoice_amount} {inv.token_symbol} to {inv.invoice_address}")
            print(f"Chain: {inv.invoice_chain_name}")
        
        # Place bid (type 1=username, 3=number, 5=gift)
        await client.place_bid(1, "username", bid=150)
        
        # Search marketplace
        items = await client.search_usernames("gold", filter="sale")

asyncio.run(main())

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import asyncio
from FragmentAPI import FragmentClient

async def main():
    # Automatic authentication via TON wallet and Telegram
    cookies = await FragmentClient.authenticate(
        seed="24 words...",
        wallet_version="V5R1",
        phone="[phone]"  # Optional: omit for QR code flow
    )
    
    async with FragmentClient(seed="24 words...", cookies=cookies) as client:
        profile = await client.get_profile()
        print(f"Logged in as: {profile.name}")

asyncio.run(main())

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The library sends anonymous usage statistics to help understand which features are used and what errors users encounter.

Collected:

• Library version, wallet version (V4R2/V5R1)
• Method name, status (ok/error), duration
• Error class name, scrubbed error message (first 200 chars)

NEVER Collected:

• Seed phrases, cookies, API keys
• Usernames (replaced with <username>)
• Wallet addresses (replaced with <ton_addr> or <eth_addr>)
• Transaction hashes, amounts
• IP addresses

Disable telemetry:

FragmentClient(seed="...", cookies=..., stats_enabled=False)

Or set environment variable: export FRAGMENT_DISABLE_STATS=1

Live Dashboard: fragment.s1qwy.ru/statistic

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Method	Chain	Token	Flow
ton	TON	TON	Automatic TX
usdt_ton	TON	USDT	Automatic TX
usdt_eth	Ethereum	USDT	Returns invoice
usdt_pol	Polygon	USDT	Returns invoice
usdc_eth	Ethereum	USDC	Returns invoice
usdc_base	BASE	USDC	Returns invoice
usdc_pol	Polygon	USDC	Returns invoice

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Reporting Errors
Create an Issue or message in the Telegram chat.

Support the Project
If you find this library useful, consider supporting its development:

UQBsyxZvyQxDwAeOxoaWwO2HJoAmCKUoJlS_OpLzWHD9i2Xj

License
MIT License — free for commercial and personal use.

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GitHub • Documentation • Telegram • Live Stats