Get the weekly radar
One short email with the freshest products, every week.
Institutional crypto market data across 400+ exchanges, from live ticks to a decade of history.
Grounded in available product and source data
Aggregating data from 400+ exchanges is the core problem CoinAPI solves: instead of integrating each venue's API separately, a team connects once and reaches trades, quotes, and order book data across all of them through a single architecture, available over REST, WebSocket, FIX, or as bulk flat files.
The product line splits by use case rather than treating crypto data as one thing. The Market Data API covers live and historical trades, quotes, and order books at L1, L2, and L3 depth. Flat Files hand over bulk historical datasets, down to tick-by-tick, for teams training models or backtesting offline rather than streaming. Exchange Rates API and Indexes API aggregate pricing across markets for funds that need a single NAV figure rather than per-venue prices. An EMS Trading API and Exchange Link extend the same connectivity toward order execution, not just data retrieval.
Depth matters as much as breadth here: the catalogue runs past a decade of historical records, and coverage extends beyond spot trading into derivatives, tokenized stocks, and DEX market data, with L4 order data available for teams that need reconstruction-level granularity. A 99.9% SLA uptime commitment signals the target customer is one for whom a data gap has a cost attached to it.
What the site does not spell out is which specific exchanges sit behind the 400+ figure, or how deep coverage goes for smaller or newer venues compared to established ones like the majors. A team with a narrow, specific exchange dependency should verify current coverage directly before building against it, rather than assuming universal parity from the aggregate number the site advertises — exchange integrations change over time, and the site does not break down coverage venue by venue.
The Market Data API is for live and on-demand historical queries over REST, WebSocket, or FIX — the pattern for a running application. Flat Files hand over bulk historical datasets for download instead, which fits backtesting or model training workflows that process data offline rather than query it in real time.
Both, according to the site's coverage breakdown: spot market data, derivatives market data, tokenized stocks, exchange rates, indexes, and DEX market data are all listed as separate coverage categories, with L4 order data available for teams that need full order book reconstruction rather than top-of-book snapshots.
The site lists MCP as one of the delivery methods alongside REST, WebSocket, and FIX, positioning it for AI agents to query pricing and market data without a custom integration layer — though the specifics of what an MCP query can return versus the full REST API are not detailed on the page.
It's aggregated across venues rather than sourced from one exchange, according to the Exchange Rates API description — intended for teams calculating a NAV or reference price who need a cross-market figure instead of whatever one exchange happens to be quoting at that moment.
