Pearlixa for Individuals: no-code crypto signals, or build your own with the SDK and API

Two ways to trade with Pearlixa. Pick how you work.

Whether you ask your AI in plain English or build your own bots, you get the same calibrated, confidence-scored signals — from one engine.

I’d rather just ask my AI.

For traders who live in Claude, ChatGPT, or Cursor. Connect Pearlixa once and ask in plain English — you get the calibrated confidence and risk levels back in the chat. No code, no JSON, no setup.

01Plain-English signals — ask, get a clear answer
02Works in Claude, ChatGPT & Cursor via MCP
03Calibrated confidence, an entry band and a take-profit
04Full methodology access on the free trial
Claude · Pearlixa MCP
How can I help you today?
Sonnet 5

I build my own bots.

For algo traders and quant builders who live in their IDE. Type-hinted SDKs in Python, TypeScript, and Go over a clean REST API with webhook delivery. Your AI assistant autocompletes the rest.

01Type-hinted SDKs: Python, TypeScript, Go
02Clean REST API + webhook delivery
03Batch predictions across assets & horizons
04Built to drop straight into your bot
signal.py
from pearlixa import Pearlixa

client = Pearlixa(api_key=os.environ["PEARLIXA_KEY"])

signal = client.predict(
    asset="BTC/USDC",
    horizon="short",
)

print(signal.confidence, signal.horizon)
# → 0.72  short

One engine, any way you work.

The no-code chat and the SDK are two surfaces over the same model. Start by asking your AI, move to the SDK when you’re ready to automate — the signal never changes.

0.87Through your AIThrough the SDKENGINEOne model0.87One signal

Not sure which path is yours?

Most people start on the no-code path, then move to the SDK once they’re ready to automate. Founding members pay 50% of today’s prices, whichever path they take.

Join the waitlist