Messari API Integration
Messari is one of the leading cryptocurrency data providers: fundamental asset metrics, project profiles, on-chain data, news and research. Integration with Messari API adds a layer of quality analytics on top of trading data.
Messari API Offerings
Asset Metrics — key asset-level indicators: market cap, fully diluted valuation, volume, circulating supply, realized capitalization, NVT ratio, velocity.
Asset Profiles — structured project information: description, technology, team, investors, tokenomics, roadmap.
Markets — trading pair data across exchanges (prices, volumes, liquidity).
News — aggregated asset news with tags and sentiment.
Timeseries — historical metrics in time series format.
Connection and Authentication
import httpx
class MessariClient:
BASE_URL = "https://data.messari.io/api/v1"
def __init__(self, api_key: str):
self.session = httpx.AsyncClient(
headers={"x-messari-api-key": api_key},
timeout=30.0
)
async def get_asset_metrics(self, asset: str, fields=None) -> dict:
params = {}
if fields:
params["fields"] = ",".join(fields)
resp = await self.session.get(
f"{self.BASE_URL}/assets/{asset}/metrics",
params=params
)
resp.raise_for_status()
return resp.json()["data"]
async def get_timeseries(self, asset: str, metric: str,
start: str, end: str, interval: str = "1d") -> list:
resp = await self.session.get(
f"{self.BASE_URL}/assets/{asset}/metrics/{metric}/time-series",
params={"start": start, "end": end, "interval": interval}
)
resp.raise_for_status()
return resp.json()["data"]["values"]
Practical Application
NVT Ratio (Network Value to Transactions) — crypto equivalent of P/E. High NVT during declining on-chain transaction volume historically precedes corrections.
async def get_nvt_signal(client: MessariClient, asset: str = "bitcoin") -> dict:
metrics = await client.get_asset_metrics(asset, fields=[
"market_data/price_usd",
"on_chain_data/nvt_ratio",
"on_chain_data/transaction_volume"
])
return {
"price": metrics["market_data"]["price_usd"],
"nvt": metrics["on_chain_data"]["nvt_ratio"],
"tx_volume": metrics["on_chain_data"]["transaction_volume"]
}
Rate limits: free tier — 20 req/min, 1000 req/day. Pro — 30 req/sec. For historical timeseries, add Redis caching with 1-hour TTL for frequently-accessed metrics.
Messari works well with on-chain aggregators (Glassnode, Nansen) for multidimensional analysis of market fundamentals before position entry.