Best APIs for Tracking New Token Launches in 2026

The short answer

"New token" is ambiguous, and the ambiguity matters because the events happen at different times:

• Token deployment: the contract or mint exists. Often means little on its own; anyone can deploy.
• First liquidity / new pair: the token becomes tradeable. This is the event most products actually want.
• Launchpad creation: a Pump.fun or Four.meme launch, which carries its own lifecycle including graduation.

A launch feed that fires on deployment drowns you in noise. One that fires on first liquidity is a trading signal.

• Bitquery: new pairs, token creation and launchpad lifecycle events, streamed in real time on its 10 core chains.
• Birdeye: new listings and discovery across its chains.
• DexScreener: widely used for new pair discovery, screener-first.
• Solana-native launch services: venue-specific feeds with execution attached.
• Dune: looking back at launch cohorts.

What to look for in a launch API

1. Which event fires. Deployment, first liquidity, or launchpad creation, and can you subscribe to each on its own?
2. Latency. For launch strategies, seconds decide outcomes. Polling a REST endpoint is not competitive.
3. Cross-chain and cross-venue coverage. Launches move between chains and venues with fashion; single-venue coverage ages badly.
4. Risk context at once. At launch you want the deployer's history, initial distribution, liquidity size and whether it is locked; a token address alone tells you nothing.
5. The whole lifecycle. On launchpads, trading migrates after graduation. A feed that stops at the curve leaves a hole at the most liquid moment.

The best APIs for new token launches

1. Bitquery: best for cross-chain launch detection with context

Bitquery indexes token creation, first liquidity and new pair events on DEXs across 40+ chains, plus dedicated launchpad coverage for Pump.fun, PumpSwap, Raydium and Four.meme including bonding-curve trades, graduations and migrations.

The context is what makes it actionable. On the core chains, launches sit in the same schema as the rest of the chain, so one integration also gives you the deployer's other tokens and holdings, initial holder distribution, early trade flow and liquidity events: the inputs to a risk score, ready the moment the token appears rather than hours later.

On the core chains, streaming runs over WebSocket, plus CoreCast gRPC on Solana; Enterprise plans add Kafka with offset replay.

Best for: sniping and discovery products, launch analytics, rug-risk scoring, cross-chain screeners.

Limits: no execution; pair it with an RPC provider. No Solana mempool, so launches cannot be seen there before they confirm.

Pump.fun API · Four.meme API · DEX API · Docs: Pump.fun API

2. Birdeye: best for discovery UI and new listings

Birdeye surfaces new tokens, trending activity and security signals with a trader-facing discovery model.

Best for: discovery features and token pages.

Limits: new listings on 16 of its 17 chains (all but Sui), and launchpad data on Solana, BSC and Monad only.

3. DexScreener: best-known new pair screener

DexScreener is a widely used screener for new pairs across many chains and venues.

Best for: discovery, manual research, quick verification.

Limits: screener-first. Its public API has no new-pairs feed and allows 60 to 300 requests per minute, so check its terms before building a product on it.

4. Solana-native launch services

Several Solana services focus on launchpad feeds, often bundling execution.

Best for: single-venue bots wanting data and execution together.

Limits: narrow scope; verify reliability and history depth.

5. Dune: best for looking back at launches

Dune supports cohort studies: graduation rates, survival curves, deployer patterns.

Best for: research and dashboards.

Limits: not a live feed.

Comparison

Provider	New pairs	Launchpad lifecycle	Deployer context	Cross-chain	Streaming
Bitquery	Yes	Pump.fun, PumpSwap, Four.meme	Yes	40+ chains	WebSocket on core chains; gRPC on Solana
Birdeye	Yes	Yes on Solana, BSC, Monad	Creator in security data	17 chains	WebSocket
DexScreener	On its site, not in the API	Not in the API	Not in the API	Many chains	No
Solana launch services	Venue-specific	Yes, venue-specific	Varies	Solana	Varies
Dune	Yes, via SQL	Yes, via SQL	Yes, via SQL	Many	No

Building a launch risk score

The launch feed is the easy half. What separates a usable product from an alert firehose:

1. Liquidity size and lock status. Tiny or unlocked liquidity is the most common rug precondition.
2. Initial holder distribution. If the deployer and a handful of wallets hold nearly all supply, distribution is not real.
3. Deployer history. Previous tokens by the same address, and what happened to them, is the strongest single signal available at launch.
4. Early trade asymmetry. Buys succeeding while sells fail is the classic honeypot signature.
5. Sell pressure from insiders. Early recipients exiting into the first buyers.

All five are queries against transfers, trades and holder data, which is why launch detection and general chain indexing are best solved by the same provider rather than two.

FAQ

How do I detect new tokens in real time?

Subscribe to new pair creation and token deployment events rather than polling. On its core chains, Bitquery streams both over WebSocket, with Kafka on Enterprise and CoreCast gRPC on Solana for latency-sensitive users.

Should I track token deployment or first liquidity?

First liquidity, for almost every trading use case. Deployment is cheap and constant; liquidity is the moment a token becomes tradeable and the point at which a signal has meaning.

How do I check whether a new token is a rug?

There is no single flag. Combine liquidity size and lock status, initial holder concentration, the deployer's previous tokens, and early buy/sell asymmetry. Treat any single-signal "safe" verdict, from any provider, with suspicion.

Can I track launches across multiple chains at once?

Yes. Bitquery covers new pairs across 40+ chains, and its core EVM chains share one query shape, so adding one of them is a parameter change rather than another integration.

What is the fastest way to detect a Pump.fun launch?

A gRPC stream on token creation events. Bitquery's CoreCast is one, and the same subscription can carry the first bonding-curve trades so you see the first buys at once. Benchmark against alternatives on your own infrastructure before committing.

Related reading

• Bitquery vs Birdeye
• Bitquery vs Helius
• Pump.fun API · Four.meme API · DEX API

Updated on 10 October 2026 by the Bitquery team: each other vendor was checked against its own pages. Streaming is now scoped to our 10 core chains, and we removed a DEX count and latency figures we could not confirm. AI tools helped with the edit.