A Python client for the DexPaprika API. This SDK provides easy access to real-time data from decentralized exchanges across multiple blockchain networks.
- Access data from 36 blockchain networks
- Query information about DEXes, liquidity pools, and tokens
- Get detailed price information, trading volume, and transactions
- Filter pools and tokens by volume, liquidity, FDV, transactions, and creation date
- Get top tokens on any network ranked by volume or other metrics
- Batch price lookups for up to 10 tokens in a single request
- Search across the entire DexPaprika ecosystem
- Automatic parameter validation with clear error messages
- Type-safe response objects using Pydantic models
- Built-in retry with exponential backoff for API failures
- Intelligent caching system with TTL-based expiration
# Install via pip
pip install dexpaprika-sdk
# Or install from source
git clone https://github.com/coinpaprika/dexpaprika-sdk-python.git
cd dexpaprika-sdk-python
pip install -e .The SDK works without a key and always will. No signup, no card. Everything below is optional.
A free key raises the monthly credit allowance. It does not raise the per-minute request limit, which is the same on both free tiers. Current figures are on the rate limits page.
from dexpaprika_sdk import DexPaprikaClient
# Explicit
client = DexPaprikaClient(api_key="api_your_key_here")
# Or leave it out and set DEXPAPRIKA_API_KEY in the environment
client = DexPaprikaClient()An explicit argument wins over the environment variable, and no key at all keeps the previous keyless behaviour unchanged.
There is no Bearer prefix. The key is sent as the entire Authorization
value, which is what the API expects; a scheme word returns 401. You never write
the header yourself, so this only matters if you are debugging what went out.
Pro customers also set the base URL, because the host does not change on its own. Free keys are served from the default host and sending one to the Pro host returns 403, so the switch has to be deliberate:
client = DexPaprikaClient(
api_key="api_your_pro_key",
base_url="https://api-pro.dexpaprika.com",
)One gotcha worth knowing. On the data endpoints a key the API cannot read is
ignored rather than rejected: the call returns 200 with real data and you are
quietly served as an anonymous caller. If you want to confirm a key is landing,
call /usage and check the plan field; keyless means the key never arrived.
Important: DexPaprika removed GET /networks/{network}/dexes/{dex}/pools
(it now returns 410 Gone). pools.list_by_dex() was repointed to
/networks/{network}/pools/search with a dex_name filter:
- The method signature is unchanged apart from a new optional
cursor. Thedex_idargument is now sent as thedex_namequery parameter. Despite that parameter's name it matches the DEX id fromGET /networks/{network}/dexes(thedex_idfield), case-insensitively. Passing that response'sdex_namefield instead, a human display name such asUniswap V3, returns HTTP 200 with an empty result set rather than an error, so always pass the id. - The response is the cursor-paginated search shape (rows under
results,.poolsremains a backward-compatible alias).pageis accepted but ignored; passcursor=...to page. - Pool items no longer carry a bare
volume_usd. The 24h figure isvolume_usd_24h, alongsidevolume_usd_7dandvolume_usd_30d. There is nopage_infoon the response. order_by="volume_usd"keeps working and is mapped tovolume_usd_24h. The strictorder_byenum check was dropped so canonical search fields such asliquidity_usdare accepted too.- Tokens inside a search result carry
id,chainandhas_imageonly. Callclient.tokens.get_details(chain, id)if you need names or symbols.
# Before:
pools = client.pools.list_by_dex("ethereum", "uniswap_v3", limit=5)
for p in pools.pools:
print(p.volume_usd)
# After:
pools = client.pools.list_by_dex("ethereum", "uniswap_v3", limit=5)
for p in pools.results: # .pools still works as an alias
print(p.id, p.volume_usd_24h)
if pools.has_next_page:
more = client.pools.list_by_dex(
"ethereum", "uniswap_v3", limit=5, cursor=pools.next_cursor,
)Important: DexPaprika removed GET /networks/{network}/tokens/{address}/pools
(it now returns 410 Gone). tokens.get_pools() was repointed to
/networks/{network}/pools/search with its new token_address parameter:
- The method signature is unchanged; the response is now the cursor-paginated
search shape (rows under
results,.poolsremains a backward-compatible alias).pageis accepted but ignored; passcursor=...to page. - The token filter is network-scoped only. The cross-network
/pools/searchendpoint acceptstoken_addressbut silently ignores it, soget_pools()still requires a network. - The
address(pair queries) andreorder(pair-perspective flip) parameters have no/pools/searchequivalent. They are deprecated, warn, and are not sent. Repeatingtoken_addresson the API side is last-wins, not a pair filter, so filter the returned pools client-side to match a pair. - An unknown token address returns an empty result set, not an error.
pools = client.tokens.get_pools("ethereum", "0xc02aaa39b223fe8d0a0e5c4f27ead9083c756cc2", limit=5)
for p in pools.results:
print(p.id, p.volume_usd_24h)
if pools.has_next_page:
more = client.tokens.get_pools(
"ethereum", "0xc02aaa39b223fe8d0a0e5c4f27ead9083c756cc2",
limit=5, cursor=pools.next_cursor,
)Important: DexPaprika removed four REST endpoints (they now return 410 Gone)
and replaced them with unified search endpoints. The SDK was repointed
accordingly:
pools.list_by_network()andpools.filter()now call/networks/{network}/pools/searchtokens.get_top()andtokens.filter()now call/networks/{network}/tokens/search
Method signatures are unchanged (your existing order_by / sort_by / sort_dir
values keep working; legacy sort fields and filter names are mapped to the new
canonical ones automatically). What changed is the response shape:
- Responses now expose rows under
results(withhas_next_pageandnext_cursor) instead ofpools/tokens/page_info. The old.pools/.tokensattributes remain as backward-compatible aliases for.results. - Pagination is cursor-based.
pageis still accepted for backward compatibility but is ignored; passcursor=...to page through results. - Pool items:
idis the pool address, volume is split intovolume_usd_24h/volume_usd_7d/volume_usd_30d, transactions aretransactions_24h, and price moves areprice_change_percentage_5m/1h/6h/24h. - Token items are flat and identified by
address(noname/symbol, no nested time-interval objects):price_usd,volume_usd_24h/7d/30d,liquidity_usd,fdv_usd,txns_24h,price_change_percentage_24h.
# Before:
pools = client.pools.list_by_network("ethereum")
for p in pools.pools:
print(p.volume_usd)
# After:
pools = client.pools.list_by_network("ethereum")
for p in pools.results: # .pools still works as an alias
print(p.volume_usd_24h)Important: Version 0.3.0 includes breaking changes due to DexPaprika API v1.3.0 updates.
The global /pools endpoint has been removed. If you were using client.pools.list(), you need to update your code:
Before (deprecated):
# This method is deprecated and will show warnings
pools = client.pools.list(limit=10)After (recommended):
# Use network-specific methods instead
eth_pools = client.pools.list_by_network("ethereum", limit=10)
solana_pools = client.pools.list_by_network("solana", limit=10)For backward compatibility, the deprecated pools.list() method will:
- Show deprecation warnings
- Automatically fall back to Ethereum network
- Continue working until a future version
We strongly recommend updating your code to use network-specific methods for better performance and future compatibility.
from dexpaprika_sdk import DexPaprikaClient
# Create a new client
client = DexPaprikaClient()
# Get a list of supported networks
networks = client.networks.list()
for network in networks:
print(f"- {network.display_name} ({network.id})")
# Get stats about the DexPaprika ecosystem
stats = client.utils.get_stats()
print(f"DexPaprika stats: {stats.chains} chains, {stats.pools} pools")
# Get top pools by volume (network-specific)
pools = client.pools.list_by_network(
network_id="ethereum",
limit=5,
order_by="volume_usd_24h",
sort="desc"
)
for pool in pools.results:
token_pair = f"{pool.tokens[0].symbol}/{pool.tokens[1].symbol}" if len(pool.tokens) >= 2 else "Unknown Pair"
print(f"- {token_pair} on {pool.dex_name} ({pool.chain}): ${pool.volume_usd_24h or 0:,.2f} volume")# Get top Ethereum pools
eth_pools = client.pools.list_by_network(
network_id="ethereum",
limit=5,
order_by="volume_usd_24h",
sort="desc"
)
# Rows are under `results`; pagination is cursor-based (has_next_page / next_cursor)# Get top Uniswap V3 pools on Ethereum.
# Backed by /networks/{network}/pools/search with a dex_name filter; the
# dedicated /dexes/{dex}/pools endpoint was removed and returns 410 Gone.
uniswap_pools = client.pools.list_by_dex(
network_id="ethereum",
dex_id="uniswap_v3",
limit=5,
order_by="volume_usd_24h",
sort="desc"
)
for pool in uniswap_pools.results:
print(pool.id, pool.dex_id, pool.volume_usd_24h)
# Rows are under `results`; pagination is cursor-based (has_next_page / next_cursor)
if uniswap_pools.has_next_page:
next_page = client.pools.list_by_dex(
network_id="ethereum",
dex_id="uniswap_v3",
limit=5,
cursor=uniswap_pools.next_cursor,
)# Get details for a specific pool
pool_details = client.pools.get_details(
network_id="ethereum",
pool_address="0x88e6a0c2ddd26feeb64f039a2c41296fcb3f5640" # USDC/WETH Uniswap v3 pool
)from datetime import datetime, timedelta
# Get OHLCV data for the last 7 days
end_date = datetime.now()
start_date = end_date - timedelta(days=7)
ohlcv_data = client.pools.get_ohlcv(
network_id="ethereum",
pool_address="0x88e6a0c2ddd26feeb64f039a2c41296fcb3f5640",
start=start_date.strftime("%Y-%m-%d"),
end=end_date.strftime("%Y-%m-%d"),
interval="24h",
limit=7
)# Find high-volume Ethereum pools
filtered = client.pools.filter(
network_id="ethereum",
volume_24h_min=100000,
txns_24h_min=50,
sort_by="volume_24h",
sort_dir="desc",
limit=10
)
for pool in filtered.results:
token_pair = f"{pool.tokens[0].symbol}/{pool.tokens[1].symbol}" if len(pool.tokens) >= 2 else "Unknown"
print(f"- {token_pair}: ${pool.volume_usd_24h or 0:,.0f} volume")Pools can be sorted and filtered on four price-change windows: 24h, 6h, 1h
and 5m. Pass the window to sort_by / order_by, or bound it with the
matching _min / _max filter. Tokens support the 24h window only; the table
further down has the exact split.
# Biggest 5-minute movers on Ethereum
movers = client.pools.list_by_network(
network_id="ethereum",
order_by="price_change_percentage_5m",
sort="desc",
limit=10
)
for pool in movers.results:
print(f"- {pool.id}: {pool.price_change_percentage_5m or 0:+.2f}% in 5m")
# Pools down at least 20% on the day, with real liquidity behind them.
# Bounds are percentages, so a drop is a negative *_max.
dumping = client.pools.filter(
network_id="ethereum",
price_change_percentage_24h_max=-20,
liquidity_usd_min=50000,
limit=10
)
for pool in dumping.results:
print(f"- {pool.id}: {pool.price_change_percentage_24h or 0:.2f}% 24h")
# Combine bounds to find a short spike that has not yet shown up in the day
spiking = client.pools.filter(
network_id="ethereum",
price_change_percentage_1h_min=50,
price_change_percentage_24h_max=10,
limit=10
)Available bounds on pools.filter(): price_change_percentage_24h_min /
_max, price_change_percentage_6h_min / _max,
price_change_percentage_1h_min / _max, price_change_percentage_5m_min /
_max.
The token side is narrower, and the line falls in a different place for sorting than for filtering:
| pools | tokens | |
|---|---|---|
sort by price_change_percentage_24h |
yes | yes |
sort by _6h, _1h, _5m |
yes | no, HTTP 400 |
filter on price_change_percentage_24h_min / _max |
yes | yes |
filter on _6h, _1h, _5m bounds |
yes | 200, then ignored |
So tokens.get_top() and tokens.filter() take the 24h window and nothing
shorter. /networks/{network}/tokens/search rejects the short windows as sort
fields with HTTP 400, and token rows carry no 5m field at all. A short window
handed to a token method as order_by falls back to volume_usd_24h rather
than failing.
The short bounds are a nastier case on the filter side. /tokens/search answers
200 to price_change_percentage_6h_min and then ignores it, returning a full
unfiltered page that looks filtered, so tokens.filter() does not accept those
three at all. Passing one raises TypeError in your process instead of handing
you wrong rows.
# Tokens up at least 20% on the day, ordered by volume
movers = client.tokens.filter(
network_id="ethereum",
price_change_percentage_24h_min=20,
limit=10
)
for token in movers.results:
print(f"- {token.address}: {token.price_change_percentage_24h or 0:+.2f}% 24h")# Get top tokens by volume on Ethereum
# The flat search shape identifies a token by `address` (no name/symbol); rows
# are under `results`.
top = client.tokens.get_top("ethereum", order_by="volume_24h", limit=5)
for token in top.results:
print(f"- {token.address}: ${token.price_usd or 0:.4f} (24h vol: ${token.volume_usd_24h or 0:,.0f})")# Find tokens with high volume and FDV
filtered = client.tokens.filter(
network_id="ethereum",
volume_24h_min=100000,
fdv_min=1000000,
limit=10
)
for token in filtered.results:
print(f"- {token.address}: ${token.volume_usd_24h or 0:,.0f} vol, ${token.fdv_usd or 0:,.0f} FDV")# Get prices for WETH and USDC in one request
prices = client.tokens.get_multi_prices(
network_id="ethereum",
tokens=[
"0xc02aaa39b223fe8d0a0e5c4f27ead9083c756cc2", # WETH
"0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48", # USDC
]
)
for p in prices:
print(f"- {p.id}: ${p.price_usd:.4f}")# Search for "bitcoin" across the ecosystem
search_results = client.search.search("bitcoin")
print(f"Found {len(search_results.tokens)} tokens and {len(search_results.pools)} pools")The SDK includes an intelligent caching system that helps reduce API calls and improve performance:
# Caching is enabled by default for all GET requests
# First request will be fetched from the API
networks = client.networks.list()
# Subsequent requests will use the cached data (faster)
cached_networks = client.networks.list()
# You can skip the cache when you need fresh data
fresh_networks = client.networks._get("/networks", skip_cache=True)
# Clear the entire cache
client.clear_cache()
# Clear cache only for specific endpoints
client.clear_cache(endpoint_prefix="/networks")Different types of data have different cache durations:
- Network data: 24 hours
- Pool data: 5 minutes
- Token data: 10 minutes
- Statistics: 15 minutes
- Other data: 5 minutes (default)
The SDK automatically retries failed API requests with exponential backoff:
# Create a client with custom retry settings
client = DexPaprikaClient(
max_retries=4, # Number of retry attempts (default: 4)
backoff_times=[0.1, 0.5, 1.0, 5.0] # Backoff times in seconds
)
# All API requests will now use these retry settings
# The SDK will retry automatically on connection errors and server errors (5xx)Default retry behavior:
- Retries up to 4 times on connection errors, timeouts, and server errors (5xx)
- Uses backoff intervals of 100ms, 500ms, 1s, and 5s with random jitter
- Does not retry on client errors (4xx) like 404 or 403
The SDK automatically validates parameters before making API requests to help you avoid errors:
# Invalid parameter examples will raise helpful error messages
try:
# Invalid network ID
client.pools.list_by_network(network_id="", limit=5)
except ValueError as e:
print(e) # "network_id is required"
try:
# Invalid sort parameter
client.pools.list(sort="invalid_sort")
except ValueError as e:
print(e) # "sort must be one of: asc, desc"
try:
# Invalid limit parameter
client.pools.list(limit=500)
except ValueError as e:
print(e) # "limit must be at most 100"Handle API errors gracefully by using try/except blocks:
try:
# Try to fetch pool details
pool_details = client.pools.get_details(
network_id="ethereum",
pool_address="0xInvalidAddress"
)
except Exception as e:
if "404" in str(e):
print("Pool not found")
elif "429" in str(e):
print("Rate limit exceeded")
else:
print(f"An error occurred: {e}")All API responses are converted to typed Pydantic models for easier access and better code reliability:
# Get pool details
pool = client.pools.get_details(
network_id="ethereum",
pool_address="0x88e6a0c2ddd26feeb64f039a2c41296fcb3f5640"
)
# Access pool properties
print(f"Pool: {pool.tokens[0].symbol}/{pool.tokens[1].symbol}")
print(f"Volume (24h): ${pool.day.volume_usd:.2f}")
print(f"Transactions (24h): {pool.day.txns}")
print(f"Price: ${pool.last_price_usd:.4f}")
# Time interval data is available for multiple timeframes
print(f"1h price change: {pool.hour1.last_price_usd_change:.2f}%")
print(f"24h price change: {pool.day.last_price_usd_change:.2f}%")The SDK provides the following main components:
NetworksAPI: Access information about supported blockchain networksPoolsAPI: Query data about liquidity pools across networks, filter pools by metricsTokensAPI: Access token information, top tokens, filter tokens, batch price lookupsDexesAPI: Get information about decentralized exchangesSearchAPI: Search for tokens, pools, and DEXesUtilsAPI: Utility endpoints like global statistics
For developers contributing to this package, here's how to publish a new version:
- Update the version in
dexpaprika_sdk/__init__.py - Update the
CHANGELOG.md - Create a new release in GitHub
- GitHub Actions will automatically build and publish to PyPI
# Clone the repository
git clone https://github.com/coinpaprika/dexpaprika-sdk-python.git
cd dexpaprika-sdk-python
# Create a virtual environment (optional)
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install dev dependencies
pip install -e ".[dev]"# Run tests with pytest
pytest
# Run with coverage
pytest --cov=dexpaprika_sdk tests/- Official Documentation - Comprehensive API reference
- DexPaprika Website - Main product website
- CoinPaprika - Related cryptocurrency data platform
- Discord Community - Get support and connect with other developers
- PyPI Package - Python package details
MIT License