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Mako combines a language model with real-time on-chain data, web search, and curated ecosystem knowledge. These are the primary use cases.

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Base token research

Ask Mako about tokens launched on Base. It can pull contract metadata, check if a contract is verified, look up deployer activity, and cross-reference with its knowledge base of Base ecosystem projects. 
"tell me about the Virtuals token on Base — contract, supply, and what the project does"

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Wallet intelligence

Query any wallet across 8 EVM chains. Mako resolves ENS names, fetches ETH balances, checks token holdings, and counts transactions to build a profile of an address. 
"what does jesse.eth hold on Base and Ethereum?"

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ENS and address lookup

Mako resolves ENS names to addresses and addresses to ENS names. Combine this with balance and transaction tools for a full lookup in one query. 
"resolve vitalik.eth and show me their ETH balance and transaction count"

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On-chain due diligence

Check whether a contract is verified, how old it is, how many transactions it has, and what the deployer wallet holds. Useful for evaluating new tokens or contracts before interacting with them. 
"is 0xABC... a verified contract on Base? what does the deployer hold?"

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Crypto market questions

Mako fetches live prices from CoinGecko and can calculate portfolio values, compare assets, or answer market questions in natural language. 
"what is ETH at right now, and what would 10 ETH be worth?"
Mako has curated knowledge entries for 15+ Base ecosystem projects. Ask about protocols, mechanisms, or ecosystem relationships and get grounded answers — not hallucinations. 
"how does Aerodrome's ve(3,3) model work?"

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Social post analysis

Mako can read tweets and search the web for recent announcements. Ask what a project or person has been posting about and get a summary. 
"what has Base tweeted about this week?"

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Developer API integration

Drop Mako into any application that uses the OpenAI Chat Completions format. Change the base URL, add a wallet header, and you have an AI agent with on-chain access. 
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": "gas on base vs ethereum right now"}]
)
print(r.choices[0].message.content)
See the API Reference for the full endpoint documentation with an interactive playground.