Crypto

Four Meme API – Developer Guide to BNB Chain’s Memecoin Data (2025)

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Four Meme is a new memecoin issuance platform on the BNB Chain, inspired by the famous “4” meme popularized by Binance’s former CEO, Changpeng Zhao (CZ)​

It has quickly gained prominence in the BNB Chain community – for example, a test token (TST) launched via Four Meme rocketed from a $400,000 market cap to over $51 million at its peak​

This frenzy around Four Meme has made it a hotspot for launching and trading new meme tokens on BNB Chain.

For developers, the Four Meme API is the gateway to interact with this ecosystem programmatically. Since Four Meme Exchange is relatively new and not yet listed as a conventional DEX, there isn’t an official public REST API from the platform. However, all Four Meme activity is recorded on-chain, and blockchain data providers (like Bitquery) offer APIs to fetch that data​

In essence, the “Four Meme API” refers to these developer-friendly endpoints that simplify access to Four Meme’s token data – from prices and trading volumes to liquidity pool details and new token listings. This article will explore the key features of the Four Meme API, how to use it, and best practices to integrate Four Meme data into your applications.

Read Bitquery Four Meme API documentation.

Key Features and Benefits

The Four Meme API simplifies how developers can retrieve up-to-date information about tokens and trades on the Four Meme platform. Here are its key features and benefits:

  • Easy Access to New Token Data: Four Meme’s API endpoints allow you to quickly list newly created tokens on the platform along with their details. Instead of manually scanning the blockchain, a single API call can return a list of new memecoins with their name, symbol, contract address, and other metadata​. This makes it effortless to track fresh token launches as soon as they happen.
  • Real-Time Price and Volume Data: Developers can fetch real-time trading data for any Four Meme token. The API provides transaction details including amounts and their value in USD, enabling you to derive the latest price and trading volume for a token​. For example, each buy/sell event on Four Meme can be queried to obtain how much BNB was exchanged and its USD equivalent, which helps in calculating current token price and 24h volume.
  • Liquidity Pool Insights and Trade Details: Four Meme uses a unique on-chain exchange contract (rather than a typical PancakeSwap pair), but the API exposes liquidity and trade information through on-chain events. All trades route through a specific Four Meme exchange contract, so by filtering transfers and events to/from that contract, the API reveals granular data on token swaps and liquidity movements​. Developers can retrieve details like how many tokens were bought or sold, which wallet was involved, and even track TokenSale events for a given token contract. This on-chain transparency means you can monitor liquidity pool status (e.g. remaining token supply in the contract, BNB liquidity) and trade history with ease.
  • Accelerating Development of Meme Coin Tools: By abstracting the complexity of blockchain queries, the Four Meme API allows developers to focus on building features. Whether you’re creating a price tracker, an analytics dashboard, or a trading bot, the API’s ready-made data endpoints save you from writing low-level blockchain parsing logic. This leads to faster development and real-time access to crucial data, which is vital given how quickly meme coin markets move.

In short, the Four Meme API gives developers direct, simplified access to token stats (price, volume, supply) and exchange activity on the Four Meme platform. Next, we’ll look at how to integrate this API into your project.

How to Use Four Meme API

Using the Four Meme API is straightforward. In this section, we’ll go through a step-by-step guide on integrating it and making calls, with examples in both Python and JavaScript. The Four Meme data is accessible via a GraphQL-based blockchain API (provided by Bitquery), which allows flexible queries for the data you need. Here’s how to get started:

1. Obtain API Access: First, sign up for a blockchain data API service that supports Four Meme. Bitquery’s free tier, for example, provides an API key (access token) to query BNB Chain data​

You’ll need this API key to authenticate your requests. (As Four Meme grows, the platform may offer its own API in the future, but currently third-party blockchain APIs fill the gap.)

2. Choose an Endpoint or Query: With GraphQL, you can write queries to fetch exactly the data you want. For instance, to get newly launched tokens on Four Meme, you can query the BSC transfer records where the recipient is Four Meme’s exchange contract and the sender is the zero address (meaning tokens just got minted/listed). Below is an example GraphQL query for fetching the 5 latest token listings on Four Meme:

{
EVM(dataset: realtime, network: bsc) {
Transfers(
orderBy: { descending: Block_Time }
limit: { count: 5 }
where: {
Transaction: { To: { is: "0x5c952063c7fc8610ffdb798152d69f0b9550762b" } }
Transfer: { Sender: { is: "0x0000000000000000000000000000000000000000" } }
}
) {
Transfer {
Currency { Name Symbol SmartContract }
AmountInUSD
}
Block { Time }
}
}
}

In this query, 0x5c9520...0762b is the Four Meme exchange contract address, and we filter for transfers from the null address (token creation events). The result will include each new token’s name, symbol, contract address, and the USD value of the initial amount (if any)​ along with the block timestamp.

3. Make the API Call (Python Example): Once your query is ready, you can call the API using your preferred programming language. Below is a Python example using the requests library to post the GraphQL query to Bitquery’s endpoint and print out the response:

pythonCopyEditimport requests
import json

API_URL = "https://graphql.bitquery.io"
API_KEY = "YOUR_BITQUERY_API_KEY"  # replace with your API key

# Define the GraphQL query as a Python multi-line string
query = """
{
  EVM(dataset: realtime, network: bsc) {
    Transfers(
      orderBy: { descending: Block_Time }
      limit: { count: 5 }
      where: {
        Transaction: { To: { is: "0x5c952063c7fc8610ffdb798152d69f0b9550762b" } }
        Transfer: { Sender: { is: "0x0000000000000000000000000000000000000000" } }
      }
    ) {
      Transfer {
        Currency { Name Symbol SmartContract }
        AmountInUSD
      }
      Block { Time }
    }
  }
}
"""

headers = {"X-API-KEY": API_KEY, "Content-Type": "application/json"}
response = requests.post(API_URL, json={"query": query}, headers=headers)

data = response.json()
print(json.dumps(data, indent=2))

In this code, we post the GraphQL query to the API endpoint with the proper headers (including our API key for authentication). The response will be a JSON object. For example, a portion of the returned JSON might look like this:

jsonCopyEdit{
  "data": {
    "EVM": {
      "Transfers": [
        {
          "Transfer": {
            "Currency": {
              "Name": "TokenName1",
              "Symbol": "TKN1",
              "SmartContract": "0xabc...123"
            },
            "AmountInUSD": 152.37
          },
          "Block": { "Time": "2025-02-25T14:30:00Z" }
        },
        {
          "Transfer": {
            "Currency": {
              "Name": "TokenName2",
              "Symbol": "TKN2",
              "SmartContract": "0xdef...456"
            },
            "AmountInUSD": 0.0
          },
          "Block": { "Time": "2025-02-25T14:29:45Z" }
        }
      ]
    }
  }
}

Each entry in Transfers corresponds to a newly created token, with its name, symbol, contract address, and the USD value of tokens initially minted (if liquidity was added). In this example, TokenName1 had some initial liquidity (worth $152.37), whereas TokenName2 might have just been created with no swaps yet (0 USD value at creation).

4. Parse and Use the Data: From the JSON response, your application can extract the needed information. For instance, you could display a list of new tokens with their symbols, or trigger alerts for new launches. Similarly, other queries can retrieve price and volume data for specific tokens (e.g. by querying recent TokenSale events or trades for that token’s contract).

5. JavaScript Example: If you prefer JavaScript/Node.js or want to fetch data client-side, the process is similar using fetch or Axios. Here’s a JavaScript example using the Fetch API (this can run in Node.js with node-fetch or in a browser context if CORS is allowed):

jsCopyEditconst fetch = require('node-fetch');  // if using Node.js

const API_URL = "https://graphql.bitquery.io";
const API_KEY = "YOUR_BITQUERY_API_KEY";

const query = `{
  EVM(dataset: realtime, network: bsc) {
    Transfers(
      orderBy: { descending: Block_Time }
      limit: { count: 5 }
      where: {
        Transaction: { To: { is: "0x5c952063c7fc8610ffdb798152d69f0b9550762b" } }
        Transfer: { Sender: { is: "0x0000000000000000000000000000000000000000" } }
      }
    ) {
      Transfer {
        Currency { Name Symbol SmartContract }
        AmountInUSD
      }
      Block { Time }
    }
  }
}`;

fetch(API_URL, {
  method: "POST",
  headers: { 
    "Content-Type": "application/json",
    "X-API-KEY": API_KEY
  },
  body: JSON.stringify({ query })
})
  .then(res => res.json())
  .then(data => {
    const transfers = data.data.EVM.Transfers;
    transfers.forEach(entry => {
      const token = entry.Transfer.Currency;
      console.log(`New token: ${token.Name} (${token.Symbol}) at ${entry.Block.Time}`);
    });
  })
  .catch(error => console.error(error));

This JavaScript code sends the same GraphQL query and logs each new token’s name and symbol with its timestamp. In practice, you can modify the query to retrieve other information. For example, to get price and volume for a specific token, you might query recent trade events involving that token’s contract. The flexibility of GraphQL means you can tailor the response to include exactly what your application needs – whether it’s the latest price, 24h volume, top buyers, or trade history.

Use Cases and Practical Applications

With the Four Meme API in hand, developers can build a variety of tools and applications around the thriving Four Meme ecosystem. Here are some practical use cases:

  • Tracking Token Price Movements: You can monitor the price of any Four Meme token in real-time by querying recent trades. For instance, fetching the latest buy/sell events for a token allows you to compute its current price (based on the last trade) and even plot price changes over time. This is useful for building price alert bots, portfolio trackers, or even integrating Four Meme tokens into existing crypto price dashboards.
  • Monitoring Liquidity Pools and Volume: The API makes it easy to keep an eye on liquidity and trading volume for newly launched tokens. By summing the USD value of trades returned by the API, a developer can calculate 24-hour volume or detect spikes in trading activity. Likewise, since all liquidity is managed by the Four Meme contract, one could track that contract’s token balance to see how much of a token remains unsold (or how much BNB is pooled). Such data is valuable for analytics dashboards that show metrics like total liquidity, market cap (token price * supply), or volume trends for each memecoin.
  • New Token Discovery and Alerts: Developers can create services that automatically detect new token launches on Four Meme and notify users. For example, a bot could use the “newly created tokens” query (as shown earlier) to identify fresh deployments and instantly broadcast an alert (via Telegram, Twitter, etc.) about a new memecoin on the BNB Chain. This gives traders an edge in discovering projects early.
  • Trading Bots and Strategy Automation: If you’re building a trading bot, the Four Meme API provides the raw data needed to make decisions. A bot could monitor specific tokens for certain patterns (like a rapid increase in volume or a big buyer stepping in) and then execute trades through the BNB Chain based on that insight. You could even implement copy-trading bots that watch the activity of known successful wallets – for instance, using the API to track all buys by a particular address on Four Meme​, and then mirroring those buys in your own strategy. Since the data is available in real-time, automated strategies can react swiftly to the memecoin market’s moves.
  • Developer Dashboards and Analytics: For developers managing their own token launched on Four Meme, the API can feed into custom dashboards. You might build an admin panel that shows how many holders your token has, how many trades occurred today, and the current price/liquidity status – all fetched via API calls. Similarly, community-driven sites can list and rank Four Meme projects by various metrics (price, volume, holders, etc.) by aggregating data from the API.

In all these cases, the Four Meme API acts as the backbone, supplying reliable on-chain data to power the application. Its developer-friendly nature (with structured JSON output and customizable queries) means you can integrate it into apps or scripts with minimal fuss. The result is a richer experience for users who can track and interact with the fast-paced Four Meme token market in real time.

Conclusion

The Four Meme API opens the doors for developers to tap into the vibrant memecoin scene on BNB Chain. In this article, we introduced Four Meme – a platform born from a crypto meme that has quickly become a launchpad for viral tokens – and showed how its API can be leveraged to access valuable data like token prices, liquidity pool stats, and trading volumes. We’ve covered how the API simplifies data access (providing token names, contracts, USD values, etc. at your fingertips) and walked through examples in Python and JavaScript to demonstrate making real calls.

In summary, the Four Meme API offers a powerful and convenient way to programmatically interact with Four Meme’s on-chain data. Whether you’re building a price bot, an analytics dashboard, or an automated trading system, this API provides the real-time information needed to make your project successful. Developers can now keep up with the frenetic pace of meme tokens with confidence, integrating Four Meme data into their applications seamlessly.



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