Talk to someone
who understands markets.

It is not a chatbot that talks about trading. It is an agent with over 100 MCP tools that fetches real data, calculates indicators, trains models and runs backtests — all through natural language.

Verida conversational AI: chat with 100+ MCP tools

Verida — the model executes real market tools, not just answers

How it works in practice

you

Fetch the last 500 1h candles of BTCUSDT

ai

The AI dispatches the buscar_binance tool, persists as raw series, and responds with the URI + metadata.

you

Calculate 14-period RSI and MACD

ai

The AI chains rsi() and macd() over the series, persists as derived, and you get the URI + latest value.

you

Train a classification model with RSI, ATR and volume

ai

The AI builds the ML DAG with feature engineering, temporal split, training and validation — all via tools.

you

Run a backtest of the moving average crossover strategy

ai

The AI loads the Rhai strategy, injects indicators, executes the backtest and returns Sharpe, drawdown and PnL.

Supported models

You bring the key — free or paid. Verida does the rest.

Anthropic Claude

Anthropic API key

Recommended for best understanding of the 100+ MCP tools.

OpenAI GPT

OpenAI API key

Works perfectly with MCP tools.

NVIDIA NIM (free)

NVIDIA API key

Cutting-edge models via free NIM API. Generous pool limits — zero cost to start. Verida default provider today.

Ollama (local)

Local model via Ollama

Llama 3, Qwen, Mistral running locally. Zero API cost, full privacy.

Google Gemini

Google AI API key

Works with MCP tools.

Other providers

Any compatible endpoint

OpenRouter, Together AI, Groq, DeepSeek — if it speaks OpenAI-compatible, it works. You choose the provider — free or paid, it is your decision (or limitation).

MCP: the standard that structures AI

Model Context Protocol is what allows the LLM to not just "know about" markets, but execute market tools. Verida exposes over 100 MCP tools — fetch data, calculate indicators, train models, run backtests, query microstructure. The model decides which tool to call; you decide what to ask.

Without MCP: the LLM hallucinates data. With MCP: the LLM executes. The difference is everything.