Solana Token Rug Check + Coin Score
Pricing
from $10.00 / 1,000 token analyseds
Solana Token Rug Check + Coin Score
Rug gates for any Solana token in one call: mint/freeze authority, Token-2022 traps, metadata lock, RugCheck score, holder concentration, insiders, dev bag, LP lock, live sell-route (honeypot) test, plus a 0-100 momentum score with narrative tags. No API keys.
Pricing
from $10.00 / 1,000 token analyseds
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Developer
Craig Armstrong
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2 hours ago
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Paste one or many Solana token mint addresses and get, per token, the rug gates a careful memecoin trader runs by hand, a live sell-route test that catches honeypots, DexScreener market data, narrative tags, and a 0-100 score of momentum, buy pressure, room to grow, freshness and health. No API keys.
Built from a tracker that filtered pump.fun / Axiom launches every day; the gates are the ones that stopped real losses.
The gates (all evaluated; passed is true only when every one passes)
| Gate | Fails when |
|---|---|
not_rugged | RugCheck already flags the token as rugged |
mint_authority | the dev can still print supply |
freeze_authority | the dev can freeze wallets |
token2022_traps | transfer hook, permanent delegate, non-transferable, default frozen, or transfer fee above 1% |
metadata_locked | name/logo can still be changed |
rugcheck_score | RugCheck score above 5,000 or any danger-level risk |
top10_concentration | top 10 holders (excluding pools, lockers, burn, CEX) hold over 30% |
single_holder | one wallet holds over 8% |
insiders | insider-flagged wallets hold over 15% |
dev_bag | the creator holds over 5% |
lp_locked | less than 80% of LP locked or burned (tokens still on a bonding curve pass) |
sell_roundtrip | Jupiter has no sell route, or a 0.5 SOL buy-then-sell loses more than 12% |
Every gate is returned with passed, a one-line detail and the measured value, so you can apply your own thresholds.
Output (one row per mint)
mint, symbol, name, passed, failedOn, gates[], top10Pct, biggestHolderPct, insiderPct, devPct, holders, bondingCurve, rugcheckScore, honeypotTest,
and with includeScore (default on): market{priceUsd, liquidityUsd, marketCapUsd, volume1hUsd, volume24hUsd, change5mPct, change1hPct, change24hPct, buys1h, sells1h, dex, pair, pairCreatedAt}, narratives[], score (0-100), tier (buy_zone ≥ 70, watch ≥ 45, pass, rejected when a gate failed, no_market), parts{momentum, buyPressure, room, fresh, health}, why[] (plain-English reasons).
A token that fails a gate gets score: 0, tier: "rejected"; the score only means something for tokens that passed.
Input
| Field | Default | Notes |
|---|---|---|
mints | required | base58 mint addresses |
includeScore | true | market data + score + narratives |
honeypotTest | true | live Jupiter quote round trip (0.5 SOL probe, nothing is bought) |
jupiterApiKey | empty | optional; the free Jupiter endpoint is used otherwise |
Sources
RugCheck (report, holders, LP, risks), DexScreener (market data), Jupiter (quotes). All public. Tokens are processed three at a time to respect their rate limits; 10 tokens take about 10–20 seconds.
Automated checks only. They catch common traps, not every scam. Not financial advice.
Cost
Pay per event, no subscription. You pay only for the tokens a run analyses.
| Event | Price |
|---|---|
| Run start, once per run | $0.001 |
| Token analysed | $0.01 |
Ten tokens cost about 10 cents, with every gate, the sell test and the score included.
Run it from code
curl -X POST "https://api.apify.com/v2/acts/cryptoretirement~solana-token-rug-check-and-score/run-sync-get-dataset-items" \-H "Authorization: Bearer $APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"mints":["EKpQGSJtjMFqKZ9KQanSqYXRcF8fBopzLHYxdM65zcjm"]}'
The response is the dataset as a JSON array. The API menu on this page has ready-made snippets for JavaScript, Python and MCP clients.
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