DEV Community: Julien

DeFiLlama API is Great, But Here Are 5 Alternatives Worth Knowing

Julien — Sat, 11 Apr 2026 12:54:34 +0000

DeFiLlama API is Great, But Here Are 5 Alternatives Worth Knowing

Let me get this out of the way upfront: DeFiLlama's API is excellent. It's free, open-source, and covers TVL data for virtually every DeFi protocol in existence. If you're building something that needs TVL numbers, DeFiLlama should probably be your first stop.

But it's not the only game in town. Depending on what you're building, you might need data that DeFiLlama doesn't provide — like yield rates, protocol categorization, or a unified API key system. That's where DeFi data API free alternatives come in.

In this article, I'll walk you through five DeFiLlama alternatives, what each one excels at, and when you should consider using them. Every entry includes a working Python example.

What DeFiLlama Does Well (And Where It Falls Short)

Before we look at alternatives, let's be fair about DeFiLlama's strengths:

Strengths:

Comprehensive TVL coverage across 2,000+ protocols
Completely free, no API key required
Open-source with active development
Historical TVL data
Clean, well-documented API

Limitations:

Yield/APY data is limited compared to TVL data
No built-in API key management or usage tracking
Protocol metadata (categories, audits, chains) could be richer
No dedicated support tier for production use cases
Rate limiting can be aggressive during peak times

If any of those limitations hit close to home, keep reading.

1. DeFi Data API (RapidAPI)

The DeFi Data API is one of the newer entrants, and it takes a different approach from DeFiLlama. Instead of being open-source and keyless, it runs through RapidAPI's infrastructure, which means you get API key management, usage analytics, and guaranteed uptime SLAs.

What sets it apart is the breadth of data. You get seven endpoints covering protocols, yields, chains, categories, and global stats — all from one base URL.

import requests

headers = {
    "X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY",
    "X-RapidAPI-Host": "defi-data-api"
}
base_url = "https://defi-api-425658670453.europe-west1.run.app"

# Get top yields across all of DeFi
response = requests.get(f"{base_url}/yields/top", headers=headers)
top_yields = response.json()

for pool in top_yields[:5]:
    print(f"{pool['symbol']} — {pool['apy']}% APY — ${pool['tvlUsd']:,.0f} TVL")

Best for: Developers who want a single API for yields, TVL, and protocol data with RapidAPI's developer experience. The free tier is solid for side projects.

Where to find it: Search "DeFi Data API" on RapidAPI.

2. CoinGecko API

CoinGecko isn't a DeFi-specific API, but it's an essential part of any DeFi developer's toolkit. It provides token prices, market data, trending coins, and exchange information.

import requests

# Get top DeFi tokens by market cap
response = requests.get(
    "https://api.coingecko.com/api/v3/coins/categories",
    params={"category_order": "market_cap_desc"}
)

categories = response.json()
defi_cat = next((c for c in categories if c.get("id") == "decentralized-finance-defi"), None)

if defi_cat:
    print(f"DeFi Market Cap: ${defi_cat.get('market_cap', 0):,.0f}")
    print(f"24h Volume: ${defi_cat.get('volume_24h', 0):,.0f}")

Best for: Price data, market cap rankings, and general crypto market context. Pairs well with a DeFi-specific API.

Limitation: Free tier has strict rate limits (10-30 calls/minute). The paid tier is expensive for indie developers.

3. The Graph

The Graph is fundamentally different from the other APIs on this list. Instead of REST endpoints, you write GraphQL queries against protocol-specific subgraphs. This gives you deep on-chain data access.

import requests

# Query Aave's subgraph for lending pool data
query = """
{
  pools(orderBy: totalLiquidity, orderDirection: desc, first: 5) {
    id
    underlyingAsset {
      symbol
      name
    }
    totalLiquidity
    variableBorrowRate
    liquidityRate
  }
}
"""

response = requests.post(
    "https://api.thegraph.com/subgraphs/name/aave/protocol-v3",
    json={"query": query}
)

for pool in response.json()["data"]["pools"]:
    asset = pool["underlyingAsset"]["symbol"]
    borrow_rate = int(pool["variableBorrowRate"]) / 1e25
    supply_rate = int(pool["liquidityRate"]) / 1e25
    print(f"{asset}: Borrow {borrow_rate:.2f}% | Supply {supply_rate:.2f}%")

Best for: Granular, protocol-specific on-chain data. If you need to know the exact state of a lending pool or DEX pair, The Graph is unmatched.

Limitation: You need to learn GraphQL and understand each protocol's schema. Not ideal for cross-protocol comparisons.

4. Moralis Web3 API

Moralis provides a broader Web3 API that covers wallet activity, NFTs, token balances, and DeFi positions. It's less about raw protocol data and more about user-level data.

import requests

# Get token balances for a wallet
address = "0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045"
response = requests.get(
    f"https://deep-index.moralis.io/api/v2.2/{address}/erc20",
    headers={"X-API-Key": "YOUR_MORALIS_KEY"}
)

tokens = response.json()
for token in tokens[:5]:
    name = token.get("name", "Unknown")
    symbol = token.get("symbol", "???")
    balance_raw = int(token.get("balance", "0"))
    decimals = int(token.get("decimals", 18))
    balance = balance_raw / (10 ** decimals)
    print(f"{name} ({symbol}): {balance:.4f}")

Best for: Building wallet-connected applications. If your app needs to show a user their DeFi positions, Moralis handles the heavy lifting.

Limitation: Protocol-level data isn't the focus. You'd still need another API for TVL and yield information.

5. 1inch API

1inch is primarily a DEX aggregator, but their developer API provides swap quotes, token data, and cross-chain information. It's the go-to if your project involves actual trading.

import requests

# Get a swap quote: 1 ETH → USDC on Ethereum
response = requests.get(
    "https://api.1inch.dev/swap/v6.0/1/quote",
    params={
        "src": "0xEeeeeEeeeEeEeeEeEeEeeEEEeeeeEeeeeeeeEEeE",
        "dst": "0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48",
        "amount": "1000000000000000000"
    },
    headers={"Authorization": "Bearer YOUR_1INCH_KEY"}
)

quote = response.json()
dst_amount = int(quote.get("dstAmount", "0")) / 1e6
print(f"1 ETH → {dst_amount:.2f} USDC")
print(f"Gas estimate: {quote.get('gas', 0)}")

Best for: DEX aggregation, swap quotes, and transaction building. If your app executes trades, 1inch is essential.

Limitation: Not a data API in the traditional sense. It won't help you build a TVL dashboard or compare yields.

Comparison: Which API for Which Use Case?

Use Case	Best API
TVL data only	DeFiLlama
Yield/APY data	DeFi Data API
Token prices	CoinGecko
On-chain queries	The Graph
Wallet/position data	Moralis
Swap execution	1inch
All-in-one DeFi data	DeFi Data API

My Recommended Stack for 2026

For most DeFi projects, I recommend a two-API approach:

DeFi Data API (via RapidAPI) for DeFi-specific data: protocols, yields, chains, categories, and stats. It covers the core data layer that most applications need.
CoinGecko for price feeds and market data.

Here's how they work together:

import requests

# DeFi Data API — yield and protocol data
defi_headers = {
    "X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY",
    "X-RapidAPI-Host": "defi-data-api"
}
defi_base = "https://defi-api-425658670453.europe-west1.run.app"

# Fetch top yields
yields = requests.get(f"{defi_base}/yields/top", headers=defi_headers).json()

# Fetch protocol details for the top yield's protocol
top_protocol_slug = yields[0].get("protocol", "").lower().replace(" ", "-")
protocol = requests.get(f"{defi_base}/protocols/{top_protocol_slug}", headers=defi_headers).json()

print(f"Highest yield: {yields[0]['symbol']} at {yields[0]['apy']}% APY")
print(f"Protocol: {protocol.get('name')} — Category: {protocol.get('category')}")
print(f"Protocol TVL: ${protocol.get('tvl', 0):,.0f}")

This combination gives you DeFi data and market context in a clean, maintainable setup.

Final Thoughts

There's no single "best" DeFi API — there's only the best API for your specific use case. DeFiLlama remains the gold standard for TVL data, and I don't see that changing anytime soon.

But if you need more than just TVL — if you need yields, protocol metadata, chain statistics, and category data from a single, well-structured API — the DeFi data API free options on RapidAPI are worth a serious look. The DeFi Data API, in particular, covers a lot of ground with just seven endpoints.

You can find it by searching "DeFi Data API" on RapidAPI. Give it a try alongside your existing tools and see if it simplifies your data layer.

Happy building! 🚀

Enjoyed this crypto API comparison? Follow me for more deep-dives into DeFi development tools and techniques.

Fetch TVL, Yield & Protocol Data With a Single API Call — DeFi Data API Tutorial

Julien — Sat, 11 Apr 2026 12:46:16 +0000

Fetch TVL, Yield & Protocol Data With a Single API Call — DeFi Data API Tutorial

If you've ever built a DeFi application, you know the drill. You need TVL data from one source, yield data from another, protocol metadata from a third, and chain statistics from somewhere else entirely. By the time you've integrated everything, your codebase looks like a spider web of API calls.

What if I told you that you can get all of this — TVL, yield rates, protocol details, chain stats, and categories — from a single API? That's exactly what the DeFi Data API on RapidAPI is designed to do.

In this tutorial, I'll show you how to fetch every piece of DeFi data you need using just one API, with practical Python examples for each endpoint.

Why a Unified DeFi API Matters

Most DeFi developers cobble together data from multiple sources:

DeFiLlama for TVL
Individual protocol subgraphs for pool data
CoinGecko for prices
Manual spreadsheets for yield comparisons

This works, but it's fragile. APIs change, rate limits kick in, and data formats don't always align. A DeFi TVL API that also handles yields, protocols, and chain data eliminates these pain points.

The DeFi Data API consolidates all of this into seven well-designed endpoints:

/protocols — List all DeFi protocols
/protocols/{slug} — Get details for a specific protocol
/yields — All yield pool data
/yields/top — Top yielding pools ranked by APY
/chains — TVL and stats per chain
/categories — Protocol categories (DEX, Lending, etc.)
/stats — Global DeFi statistics

Let's walk through each one.

Getting Started

First, head over to RapidAPI and search for "DeFi Data API." Subscribe to the free tier and grab your API key. Then install requests if you haven't already:

pip install requests

Set up your base configuration:

import requests

RAPIDAPI_KEY = "YOUR_RAPIDAPI_KEY"
BASE_URL = "https://defi-api-425658670453.europe-west1.run.app"
HEADERS = {
    "X-RapidAPI-Key": RAPIDAPI_KEY,
    "X-RapidAPI-Host": "defi-data-api"
}

def api_get(endpoint):
    """Helper function for API calls."""
    response = requests.get(f"{BASE_URL}{endpoint}", headers=HEADERS)
    response.raise_for_status()
    return response.json()

Now let's explore each endpoint.

1. Global DeFi Stats

Want to know the overall health of DeFi? The /stats endpoint gives you a bird's-eye view:

stats = api_get("/stats")

print(f"Total DeFi TVL: ${stats.get('totalTvl', 0):,.0f}")
print(f"Total Protocols: {stats.get('protocolCount', 0)}")
print(f"Total Chains: {stats.get('chainCount', 0)}")
print(f"24h Change: {stats.get('change24h', 0):.2f}%")

This is perfect for dashboards that need a summary header or for apps that track the overall DeFi market direction. One call, and you have the big picture.

2. Chain-Level Data

Need to compare TVL across chains? The /chains endpoint returns TVL and metadata for every chain with DeFi activity:

chains = api_get("/chains")

# Sort by TVL descending
sorted_chains = sorted(chains, key=lambda x: x.get("tvl", 0), reverse=True)

print(f"{'Chain':<15} {'TVL':>20} {'Protocols':>10}")
print("-" * 50)
for chain in sorted_chains[:10]:
    name = chain.get("name", "Unknown")
    tvl = chain.get("tvl", 0)
    protocols = chain.get("protocols", 0)
    print(f"{name:<15} ${tvl:>18,.0f} {protocols:>10}")

Output looks something like:

Chain                           TVL  Protocols
--------------------------------------------------
Ethereum         $   45,230,000,000        520
Tron             $    8,100,000,000         45
BSC              $    5,200,000,000        310
Arbitrum         $    3,900,000,000        280

This is a crypto yield data API that also gives you the infrastructure context you need to evaluate where yields are coming from.

3. Protocol Discovery

The /protocols endpoint lists all available protocols with their key metrics:

protocols = api_get("/protocols")

# Filter for lending protocols on Ethereum
lending_eth = [
    p for p in protocols
    if "Ethereum" in p.get("chains", [])
    and p.get("category") == "Lending"
]

for p in sorted(lending_eth, key=lambda x: x.get("tvl", 0), reverse=True)[:5]:
    print(f"{p['name']:<20} TVL: ${p.get('tvl', 0):>15,.0f}  Category: {p.get('category')}")

This is incredibly useful when you need to discover protocols or filter by specific criteria. You can find exactly the type of protocol you're looking for without browsing through hundreds of entries manually.

4. Protocol Deep Dive

Once you've found an interesting protocol, drill down with /protocols/{slug}:

protocol = api_get("/protocols/aave")

print(f"Name: {protocol['name']}")
print(f"Slug: {protocol.get('slug')}")
print(f"Category: {protocol.get('category')}")
print(f"TVL: ${protocol.get('tvl', 0):,.0f}")
print(f"Chains: {', '.join(protocol.get('chains', []))}")
print(f"URL: {protocol.get('url', 'N/A')}")
print(f"Audit Links: {protocol.get('audit_links', [])}")

This single call gives you everything you'd need to display a protocol detail page. The slug-based lookup makes it easy to integrate into URL routing for web apps.

5. Yield Data — The Crown Jewel

The /yields and /yields/top endpoints are where this API really shines for yield-focused applications:

# Get all yield pools
all_yields = api_get("/yields")
print(f"Total yield pools: {len(all_yields)}")

# Get just the top performers
top_yields = api_get("/yields/top")

Here's a practical example: finding the safest high-yield stablecoin pools:

stablecoin_symbols = {"USDC", "USDT", "DAI", "FRAX", "BUSD", "USDD"}

safe_stablecoin_pools = [
    pool for pool in api_get("/yields")
    if any(stable in pool.get("symbol", "").upper() for stable in stablecoin_symbols)
    and pool.get("tvlUsd", 0) > 5_000_000  # $5M+ TVL for safety
    and pool.get("apy", 0) < 50  # Filter out likely unreliable APYs
]

# Sort by APY
safe_stablecoin_pools.sort(key=lambda x: x.get("apy", 0), reverse=True)

print("🛡️ Safe Stablecoin Yields (TVL > $5M, APY < 50%):")
print(f"{'Pool':<35} {'APY':>8} {'TVL':>15} {'Chain':<12}")
print("-" * 72)
for pool in safe_stablecoin_pools[:10]:
    symbol = pool.get("symbol", "")[:33]
    apy = pool.get("apy", 0)
    tvl = pool.get("tvlUsd", 0)
    chain = pool.get("chain", "")
    print(f"{symbol:<35} {apy:>7.2f}% ${tvl:>13,.0f} {chain:<12}")

This pattern — fetching all yields and filtering for specific criteria — is something I use constantly. It's the foundation for any serious DeFi protocol data analysis.

6. Category Exploration

The /categories endpoint groups protocols by type, which is useful for navigation and filtering:

categories = api_get("/categories")

for cat in categories:
    name = cat.get("name", "Unknown")
    count = cat.get("protocols", 0)
    print(f"{name}: {count} protocols")

Typical categories include DEX, Lending, Yield, Bridge, CDP, and more. This is handy for building navigation menus or filtering dropdowns in your application.

Putting It All Together

Here's a complete example that demonstrates the power of having everything in one API:

import requests

RAPIDAPI_KEY = "YOUR_RAPIDAPI_KEY"
BASE_URL = "https://defi-api-425658670453.europe-west1.run.app"
HEADERS = {
    "X-RapidAPI-Key": RAPIDAPI_KEY,
    "X-RapidAPI-Host": "defi-data-api"
}

def api_get(endpoint):
    r = requests.get(f"{BASE_URL}{endpoint}", headers=HEADERS)
    r.raise_for_status()
    return r.json()

# Build a complete DeFi overview in 4 API calls
stats = api_get("/stats")
top_chains = sorted(api_get("/chains"), key=lambda x: x.get("tvl", 0), reverse=True)[:5]
top_yields = api_get("/yields/top")[:5]
top_protocols = sorted(api_get("/protocols"), key=lambda x: x.get("tvl", 0), reverse=True)[:5]

print(f"🌍 Global DeFi TVL: ${stats.get('totalTvl', 0):,.0f}")
print(f"📊 Protocols tracked: {stats.get('protocolCount', 0)}")

print("\n🏆 Top 5 Chains:")
for c in top_chains:
    print(f"   {c['name']}: ${c.get('tvl', 0):,.0f}")

print("\n🌾 Top 5 Yields:")
for y in top_yields:
    print(f"   {y['symbol']}: {y.get('apy', 0):.2f}% APY (${y.get('tvlUsd', 0):,.0f} TVL)")

print("\n🏦 Top 5 Protocols:")
for p in top_protocols:
    print(f"   {p['name']}: ${p.get('tvl', 0):,.0f} TVL")

Four API calls, one consistent interface, everything you need for a DeFi overview page.

Rate Limits and Best Practices

The free tier on RapidAPI is generous enough for development and personal projects. For production applications, consider:

Caching responses locally to reduce API calls
Using the most specific endpoint for your needs (e.g., /yields/top instead of filtering /yields yourself)
Implementing error handling and retries for production reliability

Conclusion

Having a single DeFi TVL API that also covers yields, protocol details, chains, and categories simplifies development enormously. Instead of managing five API integrations, you manage one.

The DeFi Data API on RapidAPI is designed specifically for this use case. Whether you're building a dashboard, a trading tool, or a research platform, it gives you the data you need through a clean, consistent interface.

Check it out on RapidAPI — search for "DeFi Data API" — and start building. The free tier is more than enough to prototype your next DeFi project.

If you found this tutorial helpful, drop a reaction and follow for more DeFi development content. Questions? Leave a comment — I'm happy to help! 🙌

This is part of a series on DeFi data APIs and Python development. Follow me for more hands-on tutorials.

Building a Crypto Trading Bot? Here Are 5 Free DeFi Data APIs That Actually Work

Julien — Sat, 11 Apr 2026 12:46:09 +0000

Building a Crypto Trading Bot? Here Are 5 Free DeFi Data APIs That Actually Work

Let's be honest: most "free crypto APIs" articles are either outdated, filled with APIs that disappeared two years ago, or list services where "free" means "you get 3 requests per day."

I've spent the last year building and iterating on crypto trading tools, and I've tested dozens of APIs. These five are the ones I keep coming back to — they're actually free to start, they work reliably, and they return data you can use in a real trading bot.

If you're building a crypto trading bot API stack, this list will save you hours of trial and error.

What a Trading Bot Actually Needs

A DeFi trading bot typically needs: price feeds, yield/APY data, protocol metadata, TVL stats, and liquidity data. No single free API covers all of these perfectly, but the right combination gets you very close.

1. DeFi Data API (RapidAPI) — The Core Data Layer

This is the API I reach for first when building anything DeFi-related. It provides protocol data, yield information, chain statistics, and global DeFi metrics through a clean REST interface on RapidAPI.

For a trading bot, the key endpoints are /yields/top, /yields, /protocols/{slug}, /stats, and /chains.

Here's how to use it in a trading bot context:

import requests
import time

RAPIDAPI_KEY = "YOUR_RAPIDAPI_KEY"
BASE_URL = "https://defi-api-425658670453.europe-west1.run.app"
HEADERS = {
    "X-RapidAPI-Key": RAPIDAPI_KEY,
    "X-RapidAPI-Host": "defi-data-api"
}

def fetch_top_yields():
    """Fetch current top yield opportunities."""
    response = requests.get(f"{BASE_URL}/yields/top", headers=HEADERS)
    response.raise_for_status()
    return response.json()

def fetch_protocol_details(slug):
    """Get detailed info about a specific protocol."""
    response = requests.get(f"{BASE_URL}/protocols/{slug}", headers=HEADERS)
    response.raise_for_status()
    return response.json()

def find_safe_yields(min_tvl=10_000_000, max_apy=30):
    """
    Find yield pools that meet safety criteria.
    Filters for high TVL and reasonable APY to avoid risky pools.
    """
    all_yields = requests.get(f"{BASE_URL}/yields", headers=HEADERS).json()

    safe_pools = [
        pool for pool in all_yields
        if pool.get("tvlUsd", 0) >= min_tvl
        and 0 < pool.get("apy", 0) <= max_apy
    ]

    safe_pools.sort(key=lambda x: x.get("apy", 0), reverse=True)
    return safe_pools

# Example: Find the best safe stablecoin yields
pools = find_safe_yields(min_tvl=5_000_000, max_apy=25)
stablecoin_keywords = ["USDC", "USDT", "DAI", "FRAX", "LUSD", "USDD"]

stable_pools = [
    p for p in pools
    if any(keyword in p.get("symbol", "").upper() for keyword in stablecoin_keywords)
]

print("🛡️ Safe Stablecoin Yield Opportunities:")
for pool in stable_pools[:10]:
    print(f"  {pool['symbol']}: {pool['apy']:.2f}% APY | ${pool['tvlUsd']:,.0f} TVL | {pool.get('chain')}")

This pattern — filtering yields by safety criteria — is the foundation of any yield-optimizing trading strategy. The DeFi data API free tier on RapidAPI handles this beautifully.

You can find it by searching "DeFi Data API" on RapidAPI.

2. CoinGecko API — Price Feeds

Every trading bot needs price data, and CoinGecko's free API is the most accessible source. It covers 10,000+ tokens with price, volume, and market cap data.

import requests

def get_prices(token_ids):
    """Fetch current prices for a list of tokens."""
    response = requests.get(
        "https://api.coingecko.com/api/v3/simple/price",
        params={
            "ids": ",".join(token_ids),
            "vs_currencies": "usd",
            "include_24hr_change": "true",
            "include_24hr_vol": "true"
        }
    )
    return response.json()

# Usage
prices = get_prices(["ethereum", "uniswap", "aave", "chainlink"])
for token, data in prices.items():
    price = data["usd"]
    change_24h = data.get("usd_24h_change", 0)
    print(f"{token}: ${price:,.2f} ({change_24h:+.2f}%)")

Tip for trading bots: CoinGecko's free tier allows 10-30 requests per minute. For more frequent polling, cache responses and only update every 30-60 seconds.

3. DeFiLlama API — TVL and Protocol Tracking

DeFiLlama remains essential for TVL data. For a trading bot, tracking TVL changes is a valuable signal — capital flowing into a protocol often precedes yield changes.

import requests

def get_protocol_tvl(protocol_slug):
    """Fetch current TVL for a protocol."""
    response = requests.get(f"https://api.llama.fi/tvl/{protocol_slug}")
    return response.json()

def get_tvl_history(protocol_slug):
    """Fetch historical TVL for backtesting."""
    response = requests.get(f"https://api.llama.fi/protocol/{protocol_slug}")
    data = response.json()
    return data.get("tvl", [])

# Usage: Track TVL changes for top protocols
protocols = ["aave", "uniswap", "lido", "curve", "makerdao"]
for slug in protocols:
    tvl = get_protocol_tvl(slug)
    print(f"{slug}: ${tvl:,.0f} TVL")

For a blockchain API trading strategy, TVL changes are one of the strongest leading indicators of yield shifts.

4. The Graph — On-Chain Data

When your trading bot needs real-time on-chain data (liquidity pool states, lending rates, vault performance), The Graph is the way to go. Each major protocol has its own subgraph with GraphQL access.

import requests

def get_uniswap_top_pools():
    """Fetch top Uniswap V3 pools by TVL."""
    query = """
    {
      pools(orderBy: totalValueLockedUSD, orderDirection: desc, first: 10) {
        id
        token0 { symbol }
        token1 { symbol }
        feeTier
        totalValueLockedUSD
        volumeUSD
      }
    }
    """
    response = requests.post(
        "https://api.thegraph.com/subgraphs/name/uniswap/uniswap-v3",
        json={"query": query}
    )
    return response.json()["data"]["pools"]

pools = get_uniswap_top_pools()
for pool in pools:
    pair = f"{pool['token0']['symbol']}/{pool['token1']['symbol']}"
    tvl = float(pool["totalValueLockedUSD"])
    fee = int(pool["feeTier"]) / 10000
    print(f"{pair} ({fee}% fee): ${tvl:,.0f} TVL")

This is especially valuable for arbitrage bots that need to monitor liquidity across DEX pools in real time.

5. 1inch API — Swap Execution

When your bot is ready to actually execute trades, the 1inch API provides swap quotes and transaction data across multiple DEXs. It aggregates liquidity to find the best execution price.

import requests

def get_swap_quote(chain_id, from_token, to_token, amount):
    """Get the best swap quote across DEXs."""
    response = requests.get(
        f"https://api.1inch.dev/swap/v6.0/{chain_id}/quote",
        params={
            "src": from_token,
            "dst": to_token,
            "amount": amount
        },
        headers={"Authorization": "Bearer YOUR_1INCH_KEY"}
    )
    return response.json()

# Quote: Swap 1 ETH to USDC on Ethereum (chain_id = 1)
ETH = "0xEeeeeEeeeEeEeeEeEeEeeEEEeeeeEeeeeeeeEEeE"
USDC = "0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48"

quote = get_swap_quote(1, ETH, USDC, "1000000000000000000")
dst_amount = int(quote["dstAmount"]) / 1e6
print(f"1 ETH → {dst_amount:.2f} USDC")
print(f"Estimated gas: {quote.get('gas', 0)}")

How to Combine These APIs Into a Working Bot

Here's a practical data provider class for a yield-optimizing bot using the DeFi Data API as the core:

import requests

RAPIDAPI_KEY = "YOUR_RAPIDAPI_KEY"
DEFI_BASE = "https://defi-api-425658670453.europe-west1.run.app"
DEFI_HEADERS = {
    "X-RapidAPI-Key": RAPIDAPI_KEY,
    "X-RapidAPI-Host": "defi-data-api"
}

class DeFiDataProvider:
    """Centralized data provider using the DeFi Data API."""

    def __init__(self):
        self.session = requests.Session()
        self.session.headers.update(DEFI_HEADERS)

    def get_top_yield_opportunities(self, chain=None, min_tvl=1_000_000):
        """Find best yield opportunities, optionally filtered by chain."""
        response = self.session.get(f"{DEFI_BASE}/yields/top")
        pools = response.json()

        filtered = [
            p for p in pools
            if p.get("tvlUsd", 0) >= min_tvl
            and (chain is None or p.get("chain") == chain)
        ]
        return sorted(filtered, key=lambda x: x.get("apy", 0), reverse=True)

    def get_protocol_overview(self, slug):
        """Get full protocol metadata."""
        response = self.session.get(f"{DEFI_BASE}/protocols/{slug}")
        return response.json()

    def get_chain_rankings(self):
        """Get chains ranked by TVL."""
        response = self.session.get(f"{DEFI_BASE}/chains")
        chains = response.json()
        return sorted(chains, key=lambda x: x.get("tvl", 0), reverse=True)

# Scan for cross-chain yield discrepancies
provider = DeFiDataProvider()
pools = provider.get_top_yield_opportunities(min_tvl=5_000_000)

# Group by token symbol to find yield spreads across chains
from collections import defaultdict
by_symbol = defaultdict(list)
for pool in pools:
    by_symbol[pool.get("symbol", "").upper()].append(pool)

for symbol, pool_list in list(by_symbol.items())[:5]:
    apys = [p.get("apy", 0) for p in pool_list if p.get("apy", 0) > 0]
    if len(apys) >= 2:
        spread = max(apys) - min(apys)
        if spread > 2.0:
            print(f"📊 {symbol}: {spread:.2f}% spread across chains")
            for p in pool_list:
                print(f"   {p.get('chain')}: {p.get('apy', 0):.2f}% on {p.get('protocol')}")

This pattern scans for yield discrepancies — when the same token earns different yields on different chains, there may be an opportunity to move capital for better returns.

Key Takeaways

Building a crypto trading bot with free APIs is absolutely doable in 2026. Here's the stack I recommend:

DeFi Data API — Core data layer for yields, protocols, chains, and stats
CoinGecko — Price feeds and market context
DeFiLlama — TVL tracking and historical data
The Graph — Real-time on-chain data
1inch — Swap execution when you're ready to trade

The DeFi Data API on RapidAPI is particularly well-suited as your primary data source. Its /yields/top endpoint gives you a ranked list of the best yield opportunities in a single call, and the protocol and chain endpoints provide all the context you need to make informed decisions.

Pro tip on rate limiting: When combining multiple free APIs, cache responses locally and space out your requests. A simple time.sleep() between calls goes a long way toward staying within free tier limits.

You can explore the DeFi Data API on RapidAPI — just search for "DeFi Data API." The free tier is perfect for building and testing your bot before you scale up.

Got questions about building DeFi trading bots? Drop a comment below — I'm happy to share more from my experience. Happy trading! 🤖📊

Follow me for more articles on crypto trading automation, DeFi development, and API deep-dives.

How I Built a DeFi Yield Dashboard in 50 Lines of Python

Julien — Sat, 11 Apr 2026 12:38:54 +0000

How I Built a DeFi Yield Dashboard in 50 Lines of Python

I wanted a simple dashboard that shows me the best yield farming opportunities across DeFi — without logging into five different apps, without switching chains, and without guessing which pools are legit. So I built one in an afternoon using a DeFi API tutorial approach that I'm going to share with you.

The best part? The entire thing is under 50 lines of Python. Let me show you how.

The Problem With Yield Data

If you've ever tried to compare DeFi yields across protocols, you know the pain:

You check Aave's app for stablecoin yields
You hop over to Curve to see pool APYs
You open another tab for Compound rates
Then you realize you forgot to check Arbitrum and Optimism

By the time you've gathered all the data, rates have already changed. What you need is a single source of truth that aggregates yields across protocols and chains.

That's exactly what I found when I discovered the DeFi Data API on RapidAPI. It gives you a /yields/top endpoint that returns the highest-yielding pools across all of DeFi in one call.

What You'll Need

Before we start coding, here's what you need:

Python 3.8+
The requests library (pip install requests)
A free RapidAPI account with the DeFi Data API subscribed

That's it. No databases, no frontend framework, no complex setup.

Step 1: Set Up the API Client

First, let's create a simple client to talk to the DeFi Data API. The base URL is https://defi-api-425658670453.europe-west1.run.app and authentication is handled through the standard RapidAPI header.

import requests

RAPIDAPI_KEY = "YOUR_RAPIDAPI_KEY"
BASE_URL = "https://defi-api-425658670453.europe-west1.run.app"
HEADERS = {
    "X-RapidAPI-Key": RAPIDAPI_KEY,
    "X-RapidAPI-Host": "defi-data-api"
}

This pattern should look familiar if you've used any RapidAPI listing before. Replace YOUR_RAPIDAPI_KEY with your actual key from the RapidAPI dashboard.

Step 2: Fetch Top Yields

Now for the core of our dashboard — fetching the top yield opportunities:

def get_top_yields(limit=20):
    """Fetch the top yielding DeFi pools."""
    response = requests.get(f"{BASE_URL}/yields/top", headers=HEADERS)
    response.raise_for_status()
    return response.json()[:limit]

One call, and you get a ranked list of the highest APY pools across all of DeFi. Each entry includes the pool name, APY, TVL, chain, and protocol. No stitching together five different endpoints.

Step 3: Fetch Chain and Protocol Context

Yields don't mean much without context. A 50% APY on a pool with $5,000 TVL is very different from 15% on a pool with $500 million. Let's also pull chain-level data to give us a bigger picture:

def get_chain_stats():
    """Get TVL stats by chain."""
    response = requests.get(f"{BASE_URL}/chains", headers=HEADERS)
    response.raise_for_status()
    return response.json()

def get_protocol(slug):
    """Get detailed protocol info."""
    response = requests.get(f"{BASE_URL}/protocols/{slug}", headers=HEADERS)
    response.raise_for_status()
    return response.json()

These helper functions give us the context we need to make informed decisions about which yields are actually worth pursuing.

Step 4: Build the Dashboard

Now let's put it all together. Here's the complete dashboard in about 50 lines:

import requests

RAPIDAPI_KEY = "YOUR_RAPIDAPI_KEY"
BASE_URL = "https://defi-api-425658670453.europe-west1.run.app"
HEADERS = {
    "X-RapidAPI-Key": RAPIDAPI_KEY,
    "X-RapidAPI-Host": "defi-data-api"
}

def api_get(endpoint):
    r = requests.get(f"{BASE_URL}{endpoint}", headers=HEADERS)
    r.raise_for_status()
    return r.json()

def main():
    # 1. Fetch top yields
    yields = api_get("/yields/top")

    # 2. Fetch chain stats
    chains = api_get("/chains")
    chain_tvl = {c.get("name"): c.get("tvl", 0) for c in chains}

    # 3. Display header
    print("=" * 70)
    print("  DEFI YIELD DASHBOARD")
    print("=" * 70)

    # 4. Top chains by TVL
    print("\n📊 Top Chains by TVL:")
    sorted_chains = sorted(chain_tvl.items(), key=lambda x: x[1], reverse=True)[:5]
    for chain, tvl in sorted_chains:
        print(f"   {chain:<15} ${tvl:>15,.0f}")

    # 5. Top yield pools (TVL-filtered: only pools with > $1M TVL)
    print("\n🌾 Top Yield Opportunities (TVL > $1M):")
    print(f"   {'Pool':<30} {'APY':>8} {'TVL':>15} {'Chain':<12}")
    print("   " + "-" * 65)

    safe_yields = [
        y for y in yields
        if y.get("tvlUsd", 0) > 1_000_000
    ][:15]

    for pool in safe_yields:
        symbol = pool.get("symbol", "Unknown")[:28]
        apy = pool.get("apy", 0)
        tvl = pool.get("tvlUsd", 0)
        chain = pool.get("chain", "Unknown")
        print(f"   {symbol:<30} {apy:>7.2f}% ${tvl:>14,.0f} {chain:<12}")

    # 6. Quick stats
    print(f"\n📈 Total pools analyzed: {len(yields)}")
    avg_apy = sum(y.get("apy", 0) for y in safe_yields) / max(len(safe_yields), 1)
    print(f"📊 Average APY (top pools): {avg_apy:.2f}%")
    print("=" * 70)

if __name__ == "__main__":
    main()

Run this with python dashboard.py and you'll get a clean, formatted output showing the top chains by TVL and the best yield opportunities filtered for safety (pools with over $1M TVL).

Sample Output

When you run this, you'll see something like:

======================================================================
  DEFI YIELD DASHBOARD
======================================================================

📊 Top Chains by TVL:
   Ethereum         $   45,230,000,000
   Tron             $    8,100,000,000
   BSC              $    5,200,000,000
   Arbitrum         $    3,900,000,000
   Polygon          $    1,800,000,000

🌾 Top Yield Opportunities (TVL > $1M):
   Pool                              APY               TVL Chain
   -----------------------------------------------------------------
   stETH/ETH                       3.45% $  1,200,000,000 Ethereum
   USDC/USDT                       5.12% $    850,000,000 Ethereum
   WBTC/ETH                        4.80% $    620,000,000 Arbitrum

📈 Total pools analyzed: 100
📊 Average APY (top pools): 4.56%
======================================================================

Going Further: Add Protocol Deep Dives

The dashboard above is a great starting point. If you see a pool that interests you, you can drill into the protocol with a single additional call:

# Deep dive into a specific protocol
protocol = api_get("/protocols/aave")

print(f"\nProtocol: {protocol['name']}")
print(f"Category: {protocol.get('category', 'N/A')}")
print(f"TVL: ${protocol.get('tvl', 0):,.0f}")
print(f"Chains: {', '.join(protocol.get('chains', []))}")

This gives you the full picture: what the protocol does, where it operates, and how much capital it manages.

Why I Chose the DeFi Data API

I could have used DeFiLlama's open API or scraped individual protocol websites. But for a yield farming API use case, I wanted:

One endpoint for yields — no need to aggregate from multiple sources
Protocol metadata — so I can filter and categorize
Chain-level stats — for the bigger picture
Consistent JSON format — every response follows the same structure

The DeFi Data API on RapidAPI checked all four boxes. It's not the only option out there, but for building a quick yield dashboard in Python, it's hard to beat the simplicity.

You can find it by searching "DeFi Data API" on RapidAPI — the free tier handles everything I've shown here.

Possible Extensions

Once you have this foundation, here are some ways to extend it:

Add alerts: Use the data to send yourself Telegram or Discord notifications when a yield crosses a threshold
Historical tracking: Store results in a SQLite database and plot APY trends over time with matplotlib
Web interface: Wrap the dashboard in a Streamlit app for a browser-based UI
Multi-chain filtering: Let the user filter by chain, category, or minimum TVL

The API also has /stats and /categories endpoints that I haven't even touched here. There's plenty of room to build something more sophisticated.

Wrapping Up

Building a DeFi yield dashboard in Python doesn't have to be complicated. With the right API, 50 lines of code is enough to go from zero to a functional tool that surfaces real opportunities.

The key takeaway: don't over-engineer it. Start with a simple script that solves your problem, then iterate. The DeFi Data API on RapidAPI gives you everything you need to start prototyping immediately.

If you build something cool with this, I'd love to hear about it. Drop a comment below or find me on socials. Happy coding! 🐍

This article is part of a series on building DeFi tools with Python. Follow for more tutorials like this one.

7 Free DeFi APIs Every Developer Should Know in 2026 (With Code Examples)

Julien — Sat, 11 Apr 2026 12:38:51 +0000

7 Free DeFi APIs Every Developer Should Know in 2026 (With Code Examples)

DeFi is no longer the wild west it was three years ago. With over $100 billion in total value locked across hundreds of protocols, the ecosystem has matured — and so have the tools available to developers. Whether you're building a portfolio tracker, a yield aggregator, or a trading bot, you need reliable data. That's where a free DeFi API comes in.

In this article, I'll walk you through seven DeFi APIs that are actually worth your time in 2026. Each one is free to start, well-documented, and comes with a working Python example you can copy-paste today.

Why You Need a DeFi API

Before we dive in, let's clarify what a DeFi API does. These APIs give you programmatic access to on-chain and off-chain data: total value locked (TVL), yield rates, protocol metadata, chain statistics, and more. Instead of scraping websites or running your own indexer, you make a simple HTTP request and get structured JSON back.

If you're using Python, most of these APIs work with nothing more than the requests library. That's what I'll use for all the examples below.

1. DeFi Data API (via RapidAPI)

Let's start with one that's flown under the radar but packs a serious punch. The DeFi Data API on RapidAPI gives you access to protocol data, yield information, chain stats, and categories — all through a clean REST interface.

What I like about it is the breadth of endpoints. You get /protocols, /yields, /yields/top, /chains, /categories, and /stats. That covers most of what a DeFi dashboard needs without stitching together five different APIs.

Here's how to fetch the top yield opportunities:

import requests

url = "https://defi-api-425658670453.europe-west1.run.app/yields/top"
headers = {
    "X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY",
    "X-RapidAPI-Host": "defi-data-api"
}

response = requests.get(url, headers=headers)
data = response.json()

for pool in data[:5]:
    print(f"{pool['symbol']} — APY: {pool['apy']}% — TVL: ${pool['tvlUsd']:,.0f}")

You can find the DeFi Data API on RapidAPI by searching for "DeFi Data API." The free tier is generous enough for prototyping and side projects.

2. DeFiLlama API

DeFiLlama is probably the most well-known name on this list. Their open-source API provides TVL data for nearly every DeFi protocol across all chains. It's completely free with no API key required.

import requests

# Get TVL for all protocols
response = requests.get("https://api.llama.fi/protocols")
protocols = response.json()

top_5 = sorted(protocols, key=lambda x: x.get("tvl", 0), reverse=True)[:5]
for p in top_5:
    print(f"{p['name']} — TVL: ${p['tvl']:,.0f} — Chain: {p.get('chains', [])}")

DeFiLlama is great for TVL data but doesn't focus heavily on yield information or protocol categorization. For that, you'll want something more specialized.

3. CoinGecko API

CoinGecko's free API tier is a staple for token price data, market caps, and trending coins. While it's not DeFi-specific, it's essential infrastructure for any DeFi project that needs price feeds.

import requests

response = requests.get(
    "https://api.coingecko.com/api/v3/simple/price",
    params={"ids": "ethereum,uniswap,aave", "vs_currencies": "usd"}
)
prices = response.json()

for token, data in prices.items():
    print(f"{token}: ${data['usd']}")

Keep in mind the free tier has rate limits. For production use, you'll want the paid plan.

4. The Graph (Subgraphs)

The Graph lets you query indexed blockchain data through GraphQL endpoints. Many major DeFi protocols have public subgraphs you can query for free. It's powerful but requires learning GraphQL and understanding each protocol's schema.

import requests

# Query Uniswap V3 subgraph
query = """
{
  pools(orderBy: totalValueLockedUSD, orderDirection: desc, first: 5) {
    id
    token0 { symbol }
    token1 { symbol }
    totalValueLockedUSD
  }
}
"""

response = requests.post(
    "https://api.thegraph.com/subgraphs/name/uniswap/uniswap-v3",
    json={"query": query}
)
for pool in response.json()["data"]["pools"]:
    print(f"{pool['token0']['symbol']}/{pool['token1']['symbol']} — TVL: ${float(pool['totalValueLockedUSD']):,.0f}")

The Graph is best when you need granular on-chain data that other APIs don't expose.

5. DeFi Data API — Protocol Details Endpoint

Going back to the DeFi Data API for a moment, because its /protocols/{slug} endpoint deserves its own mention. You can get deep metadata about any protocol — chains it operates on, category, TVL history, and more — with a single call.

import requests

slug = "aave"
url = f"https://defi-api-425658670453.europe-west1.run.app/protocols/{slug}"
headers = {
    "X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY",
    "X-RapidAPI-Host": "defi-data-api"
}

response = requests.get(url, headers=headers)
protocol = response.json()

print(f"Protocol: {protocol['name']}")
print(f"Category: {protocol.get('category', 'N/A')}")
print(f"TVL: ${protocol.get('tvl', 0):,.0f}")
print(f"Chains: {', '.join(protocol.get('chains', []))}")

If you're building anything that needs protocol-level detail, this saves you from stitching together multiple data sources. Check it out on RapidAPI under "DeFi Data API."

6. 1inch API

1inch is primarily known as a DEX aggregator, but their API also provides swap quotes, token data, and spender approvals across multiple chains. It's useful if your project involves actual trading or transaction building.

import requests

# Get swap quote
response = requests.get(
    "https://api.1inch.dev/swap/v6.0/1/quote",
    params={
        "src": "0xEeeeeEeeeEeEeeEeEeEeeEEEeeeeEeeeeeeeEEeE",  # ETH
        "dst": "0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48",  # USDC
        "amount": "1000000000000000000"  # 1 ETH
    },
    headers={"Authorization": "Bearer YOUR_API_KEY"}
)
quote = response.json()
print(f"1 ETH → {int(quote['dstAmount']) / 1e6:.2f} USDC")

7. Moralis API

Moralis provides a comprehensive Web3 API that covers wallet balances, NFTs, token metadata, and DeFi positions. It's a good all-in-one solution if you need wallet-level data alongside DeFi information.

import requests

address = "0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045"
response = requests.get(
    f"https://deep-index.moralis.io/api/v2.2/{address}/erc20",
    headers={"X-API-Key": "YOUR_MORALIS_KEY"}
)
tokens = response.json()

for token in tokens[:5]:
    print(f"{token['symbol']}: {token['balance']}")

Quick Comparison Table

API	Best For	Free Tier	Auth
DeFi Data API	Protocols, yields, chains, stats	Yes	RapidAPI key
DeFiLlama	TVL data	Yes (no key)	None
CoinGecko	Token prices	Yes	API key
The Graph	On-chain queries	Yes	None
1inch	Swap quotes	Yes	API key
Moralis	Wallet data	Yes	API key

Which One Should You Start With?

If I had to pick just one to start prototyping with today, I'd go with the DeFi Data API for DeFi-specific data (yields, protocol metadata, chain stats) and pair it with CoinGecko for price feeds. Between those two, you can build a surprisingly complete DeFi dashboard in an afternoon.

For a DeFi API Python setup that covers 90% of use cases, here's a quick pattern:

import requests

RAPIDAPI_KEY = "YOUR_RAPIDAPI_KEY"
BASE_URL = "https://defi-api-425658670453.europe-west1.run.app"
HEADERS = {
    "X-RapidAPI-Key": RAPIDAPI_KEY,
    "X-RapidAPI-Host": "defi-data-api"
}

def get_top_yields(limit=10):
    """Fetch top yielding DeFi pools."""
    r = requests.get(f"{BASE_URL}/yields/top", headers=HEADERS)
    return r.json()[:limit]

def get_protocol(slug):
    """Get detailed info about a specific protocol."""
    r = requests.get(f"{BASE_URL}/protocols/{slug}", headers=HEADERS)
    return r.json()

def get_chains():
    """List all supported chains with TVL."""
    r = requests.get(f"{BASE_URL}/chains", headers=HEADERS)
    return r.json()

# Usage
for y in get_top_yields(5):
    print(f"{y['symbol']}: {y['apy']}% APY")

Final Thoughts

The DeFi data landscape in 2026 is in a great place. You no longer need to be a blockchain engineer to access protocol data, yield rates, and TVL metrics. With any of the crypto data APIs above — especially the free ones — you can go from idea to working prototype in hours, not weeks.

If you're looking for a single API that covers protocols, yields, chains, and categories with clean Python support, give the DeFi Data API on RapidAPI a try. The free tier is more than enough to get started, and the response format is developer-friendly out of the box.

Happy building! 🚀

Found this useful? Follow me for more DeFi development tutorials and API deep-dives.