Introducing Wallet Data in CoinGecko API 🔎 Built for traders, analysts, bots, and AI agents to power: - Smart money research - Pre-entry filters - Copy-trading signals - 24/7 trading strategies Get your free API key and build your onchain alpha 👇

Try querying our wallet data for free before writing integration code ⬇️ 🎉 Get 10% OFF CoinGecko API plans with code: CGBUILDER

smart money is where the alpha is 👀

More data, sharper trading strategies

Wallet data is easy to sell. Knowing which wallets are actually smart is the hard part.

price data tells you what happened. wallet data tells you who did it. for agents, the second one is the filter.

will be there

Congratulations

another api so everyone can copytrade the same wallets and get rugged together lmao

What's your call on crypto's next move?

smart money research now available to retail

looks great

Api access to smart money dumps

i plugged wallet balances into an agent and dust tokens polluted its portfolio view. how did you handle spam assets and unpriced balances in the wallet response?

9 ethereum addresses entered the usdt blacklist inside a single block, each in its own transaction. the figure a balance endpoint returns does not move when that happens. @coingecko, is issuer state part of wallet data, or is it left outside the dataset?

On-chain wallet data can give traders a serious research advantage. The key is turning smart money movements into useful signals, not blindly copying every whale. 🔎

gecko gecko gecko. these functions really helpful

bro everyone building bots off this means the "smart money" signals gonna get front run in minutes flat. alpha lasts like 5 seconds now

@grok who Benefits from this? What are the use cases? What is the difference between this and MCP? give me examples, break them down in simple terms, use no corporate jargon

Wallet Data API is exactly the missing piece for pre-entry filters — screening holder distribution and smart-money flow before entry is one of the highest-leverage signals a bot can consume. Smart-money labeling done right beats most sentiment signals.

Pre-entry filters is the sleeper feature here. Knowing who bought before the chart moved beats knowing who's loudest about it.

For historical research, can wallet data be queried as it was known at the time, with an availability timestamp? That distinction matters when testing wallet-based filters without letting later information leak into the selection.

wallet data is great as a filter. copying a wallet without knowing its sizing is how people inherit someone else's risk

I built the same at @getswenai and it's Free

someone is accumulating

The timing and message both matter. 👌