kricket-client 0.1.0

Python client for Kricket Protocol: DeFi intelligence and execution suite

kricket-client

Async Python client for the Kricket Protocol — DeFi intelligence APIs for rug detection, wallet profiling, price feeds, smart contract analysis, and notifications.

Requires Python 3.10+. All methods are async.

Installation

pip install kricket-client

Quick Start

import asyncio
from kricket_client import KricketClient

async def main():
    async with KricketClient(api_key="your-api-key") as kricket:
        # Scan a token for rug-pull risk
        result = await kricket.mantis.scan("TOKEN_ADDRESS")
        print(result.risk_score.rating)  # 'low' | 'moderate' | 'high' | 'critical'
        print(result.risk_score.score)   # 0–100

        # Get a wallet intelligence profile
        wallet = await kricket.firefly.get_wallet("WALLET_ADDRESS")
        print(wallet.score, wallet.style, wallet.win_rate)

asyncio.run(main())

Clients

Client	Description	Key Methods
kricket.mantis	Rug-pull detection & token risk scoring	scan(token), get_score(token), add_to_watchlist(tokens), get_watchlist()
kricket.firefly	Wallet intelligence & smart money signals	get_wallet(address), get_signals(), get_leaderboard(), track(address)
kricket.pulse	Unified price feeds (CEX + DEX)	get_price(symbol), get_spread(symbol)
kricket.chirps	Notification channel management	list_channels(), create_channel(config), delete_channel(id)
kricket.debugger	Smart contract vulnerability analysis	analyze(source, language)

Configuration

from kricket_client import KricketClient, KricketConfig

config = KricketConfig(
    api_key="your-api-key",
    base_url="https://api-cricket.vylth.com/api/kricket",  # optional override
    timeout=30.0,  # seconds, default 30
)
kricket = KricketClient(config)

Error Handling

from kricket_client import KricketError

try:
    result = await kricket.mantis.scan(token)
except KricketError as e:
    print(e.code, e.message, e.status)

Full Docs

cricket.vylth.com/docs