Token Launch Radar
Pricing
from $4.25 / 1,000 launch founds
Token Launch Radar
Look up any token contract address or ticker across DEXes and get liquidity, 24h volume, pair age, a 0-100 quality score and risk flags. Powered by DexScreener's public API. No key, no wallet, no on-chain node. Not financial advice.
Pricing
from $4.25 / 1,000 launch founds
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Tim Zinin
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Token Launch Radar — DEX Liquidity, Volume & Risk Score
Is this token worth a second look, or a stat you can skip? Point this Actor at a token contract address or ticker and get back liquidity, 24h volume, pair age, a 0-100 quality score and plain-English risk flags — read straight from DexScreener's public API.
⚠️ Not financial advice.
qualityScoreis a heuristic built from liquidity, volume and age — it is not a signal to buy, sell, or trust a token. Always do your own research.
What you get
- A consistent score instead of a gut feeling. 0-100
qualityScorefrom liquidity, 24h volume and pair age, plus plain-EnglishriskFlags(very low liquidity, abnormal volume/liquidity ratio, brand-new pair, sharp 24h decline, large uncirculated supply). - Filters built in. Drop anything below a liquidity floor (
minLiquidityUsd) or older than a freshness window (maxAgeHours) — hunt fresh launches without eyeballing a hundred pairs by hand. - Works on contract addresses or tickers — EVM
0x…, Solana base58, or a plain search term likePEPE. One row per entry. - Chain-fork noise filtered out. PulseChain is a full state-fork of Ethereum, so pre-fork Ethereum addresses have an unrelated "twin" there with completely different liquidity — that twin is dropped unless it's the only match for the input.
- No key, no wallet, no on-chain node — just DexScreener's free public API.
- Runs on Apify: schedule it, monitor it, call it from the API or the MCP server, export to JSON, CSV or Excel, or push results straight into your own pipeline.
How to run it
- Click Try for free — no card needed on the free plan.
- Paste contract addresses or tickers into Tokens, one per line. Optionally set a liquidity floor or an age ceiling.
- Press Start. Results appear in the dataset — read them in the UI, pull them from the API, or push them onward with a webhook.
Pricing
Pay-per-event: $0.005 per run start + $0.005 per token checked. No monthly seat. 100 tokens cost about $0.51; 1,000 tokens about $5.01.
A token with no usable pair, or one filtered out by minLiquidityUsd / maxAgeHours,
is still returned with found: false and the reason — and it is not charged. You
pay for pairs that actually exist, not for lookups.
简体中文说明
输入代币合约地址(EVM 0x… 或 Solana base58)或代币代码(如 PEPE),此 Actor 会直接从 DexScreener 的公开 API 读取该代币当前交易对的流动性、24 小时交易量、交易对存在时长,并汇总成一个 0-100 的 qualityScore(质量评分),同时给出通俗易懂的风险提示 riskFlags(例如流动性过低、成交量/流动性比例异常、交易对刚创建、24 小时跌幅过大、未流通供应量过大)。qualityScore 不构成财务建议,只是基于流动性、成交量和交易对年龄这三项公开指标的启发式打分,请自行研究(DYOR)。
可以设置 minLiquidityUsd(流动性下限)和 maxAgeHours(只看多长时间内新建的交易对)两个过滤条件,方便筛选新上线的代币。同一枚代币若在多条链上有交易对,本 Actor 会取流动性最高的一个;PulseChain 是以太坊主网的完整分叉,同一个合约地址在 PulseChain 上会有一个流动性完全不同的"分身"交易对,除非这是唯一匹配结果,否则会被过滤掉,避免这个分身干扰对知名代币的判断。
计费为按事件付费:每次运行 $0.005,每个成功查到交易对的代币 $0.005(result-found)。查不到可用交易对,或被 minLiquidityUsd/maxAgeHours 过滤掉的代币,会以 found: false 返回原因,不计费。100 个代币约 $0.51,1000 个约 $5.01。
这不是什么。 本 Actor 不审计合约代码、不检查所有者/铸币权限,也不模拟买卖来检测蜜罐(honeypot)——这些属于 Rug-Pull Risk Scorer(见下方 Related Actors)的范围。
Input
| Field | Type | Description |
|---|---|---|
tokens | array of strings | Contract addresses (EVM 0x… or Solana base58) or tickers/search terms. One row per entry. Up to 100. |
minLiquidityUsd | integer | Drop the token's best pair if its liquidity is below this. 0 = no filter (default). |
maxAgeHours | integer | Only keep pairs created within this many hours — hunt fresh launches. Leave empty for no age filter. |
maxConcurrency | integer | Parallelism (1–20, default 5). |
{"tokens": ["0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48","PEPE"]}
Output
One dataset row per input. This is a real row from a real run:
{"input": "PEPE","found": true,"chainId": "solana","dexId": "meteora","pairAddress": "E9H1rNgCSXHsZxWBBUrq4piBaYSZAymm8c4SVWrwWWPw","name": "Pepe","symbol": "PEPE","tokenAddress": "Ej47F4UxHb78mWaHRtLGuFGRvAmR4sXjEHeZvZbWNn53","priceUsd": 1.247e-05,"liquidityUsd": 111231543.6,"volumeH24": 3.99,"priceChangeH24": -0.02,"fdv": 112231555,"marketCap": 112231555,"ageHours": 8410.2,"qualityScore": 60,"riskFlags": [],"summary": "PEPE on solana (meteora) — liquidity $111,231,544, 24h vol $4, 350.4d old, quality 60/100. Not financial advice — heuristic score, DYOR.","checkedAt": "2026-07-26T13:29:06.782Z"}
| Field | Description |
|---|---|
input | The address or search term you passed |
found | Whether a usable pair was found (and passed your filters) |
chainId / dexId / pairAddress | Where the best pair trades |
name / symbol / tokenAddress | The token itself |
priceUsd | Current price in USD |
liquidityUsd / volumeH24 / priceChangeH24 | Pool liquidity, 24h volume, 24h price change |
ageHours | Hours since the pair was created |
qualityScore | 0-100 heuristic from liquidity, volume and age |
riskFlags | Plain-English warnings (low liquidity, abnormal volume ratio, brand-new, sharp decline, large uncirculated supply) |
summary | Human-readable one-liner, always ends with a not-financial-advice disclaimer |
error | Present only when found: false — why no row was returned |
How the best pair is picked
A token can trade on many pairs across many chains. This Actor takes the one with the highest liquidity — with one guardrail: PulseChain is a full state-fork of Ethereum mainnet, so pre-fork Ethereum contract addresses have an unrelated "twin" on PulseChain with completely different liquidity and holders. Left in, that twin can silently outrank the real chain by liquidity for well-known tokens. PulseChain pairs are excluded unless they're the only match for that input.
API
Start a run with a bearer token and explicit JSON input:
curl -sS -X POST 'https://api.apify.com/v2/acts/zinin~token-launch-radar/runs?waitForFinish=60' \-H "Authorization: Bearer $APIFY_TOKEN" \-H 'Content-Type: application/json' \--data '{"tokens":["0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48","PEPE"]}'
Read Dataset rows using the returned defaultDatasetId:
curl -sS "https://api.apify.com/v2/datasets/$DEFAULT_DATASET_ID/items?clean=true&format=json" \-H "Authorization: Bearer $APIFY_TOKEN"
MCP
For an Apify MCP client exposing the standard call-actor tool, send this exact payload:
{"name": "call-actor","arguments": {"actor": "zinin/token-launch-radar","input": {"tokens": ["0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48", "PEPE"]}}}
Related tools
Related tools for adjacent workflows in crypto and wallets.
| Actor | What it does |
|---|---|
| Live Price Oracle | Pair it in the crypto and wallets workflow: Current USD price for any token by contract address or ticker: 24h change, liquidity, volume, best DEX pair |
| Wallet Airdrop Readiness Score | Pair it in the crypto and wallets workflow: Profile a wallet on-chain: age, tx activity, contract & token diversity -> a 0-100 airdrop-farming... |
| Rug Pull Risk Scorer | Pair it in the crypto and wallets workflow: Score ERC-20/BEP-20 token rug-pull risk from honeypot.is simulation + DexScreener liquidity/age |
| Whale Wallet Tracker | Pair it in the crypto and wallets workflow: Track large native ETH and ERC-20 token movements for any wallet(s) via Etherscan's multichain API (bring... |
FAQ
Does it need an API key or wallet? No — DexScreener's public API is free and keyless.
How fresh is the data? As fresh as DexScreener's own feed — typically seconds to a couple of minutes behind the DEX itself.
Is qualityScore financial advice? No. It's a heuristic built from three public
metrics (liquidity, volume, age). It does not account for contract risk, team behavior,
or anything off-chain. Always DYOR.
Can I call it from an AI agent? Yes — it's a standard Apify Actor, callable via the Apify API or the Apify MCP server.
What this is NOT. It does not audit contract code, check ownership/mint functions, or simulate a buy/sell to detect a honeypot — for that on EVM tokens, see Rug-Pull Risk Scorer below.
Found a wrong result, or need a check we don't run? Open an issue on this Actor's page.