smart_toy AI Integration

Build with AI Assistants

NodeBar ships with machine-readable documentation that AI assistants can consume directly. Tell Claude, ChatGPT or any LLM to read our docs and it will write working integration code in seconds.

How it works

We provide two machine-readable files that any AI assistant can read and understand:

description

llms.txt

Quick reference

Concise overview: what the API does, authentication, example request/response, feature categories, plans and pricing.

nodebar.dev/llms.txt →

code

llms-full.txt

Complete reference

All 348 features with exact parameter names, types, defaults. Code examples in Python, JavaScript and cURL. Error codes, credits system, symbol list.

nodebar.dev/llms-full.txt →

What to tell your AI

Copy-paste any of these prompts into Claude, ChatGPT, Copilot, or any AI assistant. The AI will read the docs and write working code.

chat Prompt 1 · Quick start

Read https://nodebar.dev/llms.txt and write me a Python script that computes RSI, MACD and Bollinger Bands for AAPL daily data from 2024. My API key is nb_xxx.

chat Prompt 2 · Trading strategy

Read https://nodebar.dev/llms-full.txt. Build a mean-reversion strategy that:
- Uses RSI oversold signals and Bollinger %B
- Filters by macro regime (only trade when macro_regime != 2)
- Uses ATR for position sizing
Use NodeBar for all features. My key: nb_xxx.

chat Prompt 3 · ML pipeline

Read https://nodebar.dev/llms-full.txt. Create a feature engineering pipeline that:
- Fetches 20 technical features (momentum, trend, volatility) for SPY
- Adds macro features (cpi_yoy, macro_regime) for US
- Builds a pandas DataFrame ready for sklearn
- Trains a GradientBoosting classifier for next-day direction

chat Prompt 4 · Macro dashboard

Read https://nodebar.dev/llms-full.txt. Build a macro economic dashboard that shows:
- GDP growth, CPI and unemployment for US, DE, GB, JP
- Recession risk proxy and macro heat score
- Use Plotly for charts. Use NodeBar for all data.

chat Prompt 5 · JavaScript app

Read https://nodebar.dev/llms-full.txt. Create a Next.js page that lets users select a stock symbol, pick features from a dropdown, and displays the computed results in a chart. Use NodeBar as backend.

Why this works so well

psychology AI understands the full API

Our llms-full.txt contains every feature name, every parameter with types and defaults, code examples in 3 languages, and the credits system. The AI doesn't need to guess anything.

api One endpoint, simple format

NodeBar has exactly one endpoint (POST /features/compute) with a consistent JSON format. AIs produce correct code on the first try because there's nothing ambiguous.

speed From idea to code in 30 seconds

Instead of reading docs for 20 minutes, paste one prompt and get working code. The AI handles imports, authentication, parameter formatting, response parsing, all of it.

build Works with any AI tool

Claude, ChatGPT, Gemini, Copilot, Cursor, Windsurf, Cline. Any AI that can read a URL works. The llms.txt format is a plain text file, universally compatible.

Compatible with

Claude ChatGPT GitHub Copilot Cursor Windsurf Gemini Cline Any LLM

Get started

key

1. Get a free API key

No credit card required. 100 credits/day on the Demo plan.

link

2. Copy the docs URL

nodebar.dev/llms-full.txt

chat

3. Tell your AI

"Read this URL and build [your project]"