What is Mako?

Autonomous on-chain tools. OpenAI-compatible API. One call, full answer. Built for the deep.

Quickstart

Make your first API call in 30 seconds.

Base Intelligence

Curated knowledge of the Base ecosystem.

Use Cases

Token research, wallet intel, due diligence, and more.

API Reference

Interactive playground to test every endpoint.

Autonomous tool orchestration

Mako resolves compound queries by chaining tools in sequence. The gateway handles all tool execution server-side — up to 8 rounds per request — and returns a single final response.

"what is happening with Virtuals launches on Base?"

Execution trace:

knowledge_search("virtuals") → Virtuals Protocol context and contract details
web_search("virtuals protocol base launches") → recent launch activity
Synthesis → grounded answer combining curated knowledge and live data

No client-side tool handling required. The gateway orchestrates the full chain and returns the synthesized answer.

Tool suite

16 read-only tools across four categories:

On-Chain (9)

ETH balances, ERC-20 balances and metadata, gas prices, block data, transaction counts, contract detection, ENS resolution, transaction details

Web & Social (4)

Web search with multi-provider fallback, full page extraction, tweet reading, music search

Market Data (1)

Live crypto prices via CoinGecko

Knowledge & Utility (2)

RAG over 15+ Base ecosystem projects, tool discovery

All tools are read-only. Mako cannot broadcast transactions or modify on-chain state.

Model naming

Use aliases in your requests. Canonical IDs are returned in responses.

Alias	Canonical ID	Description
`conductor`	`mako-32b-conductor`	Primary production model. Tool orchestration, complex reasoning.
`operator`	`mako-8b-operator`	Compact variant. Streaming, low-latency.

Both aliases and canonical IDs are accepted in the model field. If model is omitted, the gateway defaults to conductor.

OpenAI-compatible API

The API follows the OpenAI Chat Completions specification. Any client or SDK that supports OpenAI works with Mako by changing the base URL.

Python
JavaScript
cURL

from openai import OpenAI

client = OpenAI(
    base_url="https://gateway.deepmako.com/v1",
    api_key="not-needed",
    default_headers={"x-wallet-address": "0xYourWalletAddress"}
)

r = client.chat.completions.create(
    model="conductor",
    messages=[{"role": "user", "content": "what is happening on Base today?"}]
)
print(r.choices[0].message.content)

const res = await fetch("https://gateway.deepmako.com/v1/chat/completions", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "x-wallet-address": "0xYourWalletAddress"
  },
  body: JSON.stringify({
    model: "conductor",
    messages: [{ role: "user", content: "what is happening on Base today?" }]
  })
});
const data = await res.json();
console.log(data.choices[0].message.content);

curl -X POST https://gateway.deepmako.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "x-wallet-address: 0xYourWalletAddress" \
  -d '{
    "model": "conductor",
    "messages": [{"role": "user", "content": "what is happening on Base today?"}]
  }'

Open weights

Mako’s model weights are available on Hugging Face under permissive licenses:

Mako-32B Conductor — 32 billion parameters. Primary production model, optimized for tool orchestration and multi-step reasoning.
Mako-8B Operator — 8 billion parameters. Compact variant for streaming and low-latency deployment.

Additional components of the Mako stack will be open sourced over time.

Getting Started

Tools

Models

What is Mako?

Quickstart

Base Intelligence

Use Cases

API Reference

Autonomous tool orchestration

Tool suite

On-Chain (9)

Web & Social (4)

Market Data (1)

Knowledge & Utility (2)

Model naming

OpenAI-compatible API

Open weights

Quickstart

Base Intelligence

Use Cases

API Reference

​Autonomous tool orchestration

​Tool suite

On-Chain (9)

Web & Social (4)

Market Data (1)

Knowledge & Utility (2)

​Model naming

​OpenAI-compatible API

​Open weights

Autonomous tool orchestration

Tool suite

Model naming

OpenAI-compatible API

Open weights