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Welcome to CrypTech Intelligence

CrypTech Intelligence provides high-performance data pipelines and REST APIs designed for quantitative trading desks, crypto wallets, risk managers, and autonomous AI agents. While conventional blockchain APIs only report superficial static contract properties or raw balances, CrypTech computes real-world financial realizability:

Token Due Diligence

Multi-engine smart contract audits, honeypot detection, fee modifiability, and top holder centralization analysis in under 800ms.

AMM Exit Simulation

Simulates actual dollar cashouts across constant-product liquidity pools ($100 up to $50,000) factoring in price impact and slippage.

Alpha Radar (+EV Signals)

Curated signals with positive expected value net of trading fees, volatility, and historical win rates across major tokens.

Sub-Second Market Feeds

Sub-second price, 24h volume, orderbook depth, and macro market regime classification (Bullish, Neutral, Volatile).

Why CrypTech?

1. Multi-Vector Threat Auditing

Every token analyzed by POST /api/v1/analyze undergoes concurrent verification against 7 security vectors:
  • Honeypot & Blacklist Verification: Tests if sell transactions are locked or restricted to whitelisted addresses.
  • Hidden Mint & Ownership Risks: Flags contracts where owners can mint unlimited tokens or reclaim renounced ownership.
  • Slippage & Tax Modifiability: Detects contracts with dynamic trading taxes that can be raised to 99% after launch.
  • Organic Flow vs. Wash Trading: Separates authentic decentralized trader volume from automated circular wash-bot transactions.

2. Real AMM Exit Realizability

A token might show $5,000,000 in paper market cap, but only $20,000 in Uniswap or Raydium liquidity pools. If a trader tries to cash out $10,000, they could face 45% slippage. CrypTech calculates a deterministic Max Safe Exit (USD) and returns exact tier-by-tier cashout numbers so trading bots and wallets can prevent catastrophic slippage before submitting a swap.

3. Agent-Native Architecture (MCP)

CrypTech offers full Model Context Protocol (MCP) support out of the box. Autonomous AI agents running on Claude Desktop, Cursor, or custom LLM frameworks can call token audits and market scans directly as native tool functions.

Getting Started

Ready to integrate? Follow our Quickstart Guide to make your first API call in under two minutes, or read about Authentication to obtain an API key.