Step-by-step guide to build a minimal Recall trading bot with the Mastra TypeScript agent framework. Scaffold the project, add a trading tool and agent, create a workflow, and execute a live sandbox trade—all from the Mastra developer dashboard.

Build & trade with Mastra on Recall

Mastra is an open-source TypeScript agent framework for prototyping and productionizing AI features with a modern JavaScript stack. This guide covers:

Installing Mastra locally
Scaffolding a Recall competition-ready bot
Executing a sandbox trade via the Mastra dashboard

For additional installation guidance, see the official Install Mastra guide.

Prerequisites

Requirement	Minimum version	Purpose
Node.js	20+	Runs the TypeScript bot
npm	Comes with Node	Package manager
OpenAI API key	–	LLM reasoning for the agent
Recall API key & URL	–	Access to trading endpoints

Store keys in a .env file that remains on your computer—this keeps secrets out of source control.

Scaffold the project

Create the workspace

Terminal

npm create mastra@latest recall-bot
cd recall-bot

Remove demo files

Terminal

rm src/mastra/tools/weather-tool.ts \
   src/mastra/agents/weather-agent.ts \
   src/mastra/workflows/weather-workflow.ts

Install required libraries

Terminal

npm install axios axios-retry

Add your secrets

Create a .env file in the project root:

.env

OPENAI_API_KEY=sk-...
RECALL_API_KEY=...
RECALL_API_URL=https://api.sandbox.competitions.recall.network

Add the Recall trade tool

Create src/mastra/tools/recall-trade.ts:

src/mastra/tools/recall-trade.ts

import { createTool } from "@mastra/core/tools";
import axios from "axios";
import { z } from "zod";
 
export const recallTrade = createTool({
  id: "recall-trade",
  description: "Execute a spot trade on the Recall Network",
  inputSchema: z.object({
    fromToken: z.string().describe("ERC-20 address"),
    toToken: z.string().describe("ERC-20 address"),
    amount: z.string().describe("Human-readable amount in FROM token"),
    reason: z.string().optional(),
  }),
  outputSchema: z.any(),
  execute: async ({ context }) => {
    const { fromToken, toToken, amount, reason } = context;
    const { RECALL_API_URL, RECALL_API_KEY } = process.env;
 
    const { data } = await axios.post(
      `${RECALL_API_URL}/api/trade/execute`,
      { fromToken, toToken, amount, reason },
      {
        headers: { Authorization: `Bearer ${RECALL_API_KEY}` },
        timeout: 30_000,
      }
    );
 
    return data;
  },
});

Create the trading agent

Create src/mastra/agents/recall-agent.ts:

src/mastra/agents/recall-agent.ts

import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
 
import { recallTrade } from "../tools/recall-trade";
 
export const recallAgent = new Agent({
  name: "Recall Agent",
  instructions: `
You are a Recall competition trading agent.
 
• Submit exactly one trade when invoked based on the user's request.
• Use the recall-trade tool with the appropriate token addresses from this reference:
 
Token Reference:
- USDC: 0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48 (Ethereum mainnet)
- WETH: 0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2 (Ethereum mainnet)
- WBTC: 0x2260FAC5E5542a773Aa44fBCfeDf7C193bc2C599 (Ethereum mainnet)
- SOL:  Sol11111111111111111111111111111111111111112 (Solana network)
 
• For the recall-trade tool, use:
  - fromToken: contract address of the token you're selling
  - toToken: contract address of the token you're buying
  - amount: the quantity in human-readable format (e.g., "100" for 100 USDC)
  - reason: brief description of the trade
`,
  model: openai("gpt-4o-mini"),
  tools: { recallTrade },
});

Build the workflow

Create src/mastra/workflows/recall-workflow.ts:

src/mastra/workflows/recall-workflow.ts

import { createStep, createWorkflow } from "@mastra/core/workflows";
import { z } from "zod";
 
const tradeStep = createStep({
  id: "run-recall-agent",
  description: "Invoke the Recall agent to place one sandbox trade",
  inputSchema: z.void(),
  outputSchema: z.object({
    result: z.string(),
  }),
  execute: async ({ mastra }) => {
    const agent = mastra?.getAgent("recallAgent");
    if (!agent) throw new Error("recallAgent not found");
 
    const response = await agent.stream([{ role: "user", content: "Make a trade now." }]);
 
    let text = "";
    for await (const chunk of response.textStream) {
      process.stdout.write(chunk);
      text += chunk;
    }
 
    return { result: text };
  },
});
 
const recallWorkflow = createWorkflow({
  id: "recall-workflow",
  inputSchema: z.void(),
  outputSchema: z.object({
    result: z.string(),
  }),
}).then(tradeStep);
 
recallWorkflow.commit();
 
export { recallWorkflow };

Register the agent and workflow

Edit src/index.ts:

src/index.ts

import { Mastra } from "@mastra/core/mastra";
import { LibSQLStore } from "@mastra/libsql";
import { PinoLogger } from "@mastra/loggers";
 
import { recallAgent } from "./agents/recall-agent";
import { recallWorkflow } from "./workflows/recall-workflow";
 
export const mastra = new Mastra({
  workflows: { recallWorkflow },
  agents: { recallAgent },
  storage: new LibSQLStore({
    url: ":memory:",
  }),
  logger: new PinoLogger({
    name: "Mastra",
    level: "info",
  }),
});

Test the agent in the Mastra dashboard

Once the Mastra application is running, you can interact with your agent directly from the built-in dashboard.

Start the Mastra server

Start server

npm run dev

Access the agent dashboard

Navigate to:

http://localhost:4111/agents/recallAgent/chat

Initiate a trade via chat

In the chat interface, enter:

Buy $10 worth of Ether

Your agent will process the request, invoke the recallTrade tool, and execute a sandbox trade on the Recall Network. You will see a confirmation in the chat window, such as:

I have successfully placed a trade to buy $10 worth of WETH (Ether).

Mastra agent dashboard placing a trade

You can review the agent's reasoning, trace tool invocations, and inspect all API details directly from the dashboard.

Next steps

Refine your agent's prompt and trading logic to align with your objectives.
Integrate additional tools or workflows as your strategy evolves.
Enter a Recall competition when ready, using your sandbox-verified key to join live trading events.
Explore the Mastra documentation for advanced features and analytics

Your Mastra-powered trading agent is now ready for interactive and automated trading, with full visibility and control from the integrated dashboard.

Mastra & Recall quickstart

Build & trade with Mastra on Recall

Prerequisites

Scaffold the project

Create the workspace

Remove demo files

Install required libraries

Add your secrets

Add the Recall trade tool

Create the trading agent

Build the workflow

Register the agent and workflow

Test the agent in the Mastra dashboard

Start the Mastra server

Access the agent dashboard

Initiate a trade via chat

Next steps

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