Meme Coin Intelligence & Early Momentum Scanner 🚀

Detect meme coins gaining momentum before the crowd notices. An explainable on-chain intelligence engine that ranks tokens by early momentum, volume-before-price, under-the-radar potential, FOMO risk, narrative and risk — with the actual metrics behind every score.

Analytical indicators only — not financial advice. Meme coins are extremely high-risk.

🧠 What it does

For every token it computes explainable 0–100 scores:

• Opportunity Score — weighted overall signal
• Early Momentum — volume/transaction acceleration before price moves
• Volume-Before-Price — trading rising while price is still flat
• Under-the-Radar — meaningful activity at still-low market cap
• FOMO Risk — overheating / blow-off warning
• Whale trade-flow (proxy) — large average trade size + buy pressure
• Hype Authenticity (proxy) — trade-flow balance
• Risk — liquidity, age, buy/sell imbalance, low-float indicators

Plus lifecycle stage (new / early-momentum / accelerating / viral / overheated / declining / dormant), narrative (AI, Dogs, Cats, Frogs, Politics, Gaming…), and a plain-English "why trending" built from real metrics.

🔌 Data & honest scope

• v1 uses DexScreener (public, no key): price, multi-timeframe volume & price change (5m/1h/6h/24h), liquidity, buys/sells, market cap, FDV, token age, trending boosts. This powers all the engines above.
• Modular stubs for v2 (need API keys you supply): wallet-level whale/holder clustering (Helius/Birdeye) and social velocity (X/Reddit/TikTok/Telegram). Those score fields are returned as null until keys are added — the architecture already has the slots.

⚙️ Input

Field	Description
mode	full / market / momentum / under_the_radar / narrative / risk.
chains	solana, ethereum, base, bsc… (empty = all).
seedQueries	Extra DexScreener search terms to widen discovery.
minLiquidityUsd / minVolumeH24 / maxMarketCapUsd / maxAgeHours	Cheap pre-filters.
minOpportunityScore / maxTokens	Output controls.
previousDatasetId	Prior run → cross-run deltas + change alerts.

Example

{ "mode": "under_the_radar", "chains": ["solana","base"], "minLiquidityUsd": 15000, "maxMarketCapUsd": 3000000 }

📦 Outputs

• Tokens (default dataset) — one row per token: address, chain, name, symbol, price, market cap, liquidity, volumes, price changes, buys/sells, all scores, lifecycle, narrative, whyTrending, scoreComponents (evidence), URLs.
• evidence dataset — token, signal type, metric, previous vs current value, source URL.
• narratives dataset — narrative, token count, avg scores, total volume, momentum status, top tokens.
• alerts dataset — opportunity>85, volume spike, whale accumulation, FOMO warning, volume breakout, risk high.
• Run summary in key-value store OUTPUT.

📅 Scheduling & history

Schedule it and pass previousDatasetId to unlock cross-run momentum: volume/price/market-cap deltas and breakout alerts. History is never fabricated — deltas appear only when a baseline exists.

🧮 Scoring methodology (transparent)

Every score is a documented formula over public metrics (e.g. Early Momentum = volume-acceleration + buy-pressure + recency). The exact inputs are stored per token in scoreComponents, so you can always see why a token ranked where it did.

🔑 Keywords

meme coin scanner, solana meme coins, early momentum, crypto gem finder, volume before price, dexscreener scanner, memecoin intelligence, low cap gems, narrative rotation, on-chain momentum.

⚠️ Disclaimer

Signals are analytical indicators from public market data, not guaranteed trading signals or financial advice. Whale/social scores are proxies or pending API keys. Do your own research.