emblem-memecoin-scout
Memecoin discovery and risk assessment via EmblemAI. Trending memecoins on Solana, Base, and Hedera. Pump.fun and LaunchLab new token alerts, Clanker discovery, rug-pull detection, holder analysis, and smart money tracking. Use when the user wants to find new memecoins, check if a token is a rug pull, or scout trending low-cap tokens.
What this skill does
# Emblem Memecoin Scout Memecoin discovery and risk assessment powered by **EmblemAI**. Real-time new token alerts, trending memecoins, rug-pull detection, holder analysis, and smart money tracking across Solana, Base, and Hedera. **Requires**: `npm install -g @emblemvault/agentwallet` --- ## What This Skill Can Do | Capability | Tools Used | Chains | |-----------|------------|--------| | Pump.fun new token launches | `getPumpFunTokens` | Solana | | LaunchLab / Bonk.fun new tokens | `discoverLaunchLabTokens` | Solana | | Trending memecoins | `findSolanaGems`, `birdeyeTrendingTokens` | Solana, multi-chain | | Clanker token discovery | `baseFindClankerTokens` | Base | | Hedera memecoin discovery | `hederaFindMemeCoins` | Hedera | | Rug-pull detection | `rugcheck` | Solana | | Token deep dive (volume, trades) | `birdeyeTradeData` | Multi-chain | | Smart money memecoin tracking | `nansen_smart_money_trades` | Multi-chain | | CoinGecko trending | `getTrendingCoins` | All | | Token search | `searchCryptoByName`, `findSolanaSwapToken` | All | ### Not Supported These features have no backing tools: - Social sentiment (Twitter, Telegram, Discord monitoring) — no social API tools exist - Exit strategy generation — LLM-generated advice only, not data-driven - Price charts / technical levels — no charting tools exist - BSC/FourMeme discovery — `bscfindMemeCoinsViaFourMeme` returns 404 (API broken) --- ## Quick Start ```bash npm install -g @emblemvault/agentwallet # What's hot on Pump.fun (uses getPumpFunTokens) emblemai --agent --profile default -m "Use getPumpFunTokens to show tokens about to graduate on Pump.fun with holder data" # Risk check a token (uses rugcheck) emblemai --agent --profile default -m "Use rugcheck to analyze token [TOKEN_ADDRESS] on Solana" ``` **Trigger phrases:** - "What memecoins are trending?" - "Find new tokens on Pump.fun" - "Is this token a rug pull?" - "Scout memecoins on Solana" - "What new tokens launched today?" --- ## Supported Platforms | Platform | Tool | Chain | Data | |----------|------|-------|------| | **Pump.fun** | `getPumpFunTokens` | Solana | New launches, graduating tokens, holder data, dev hold %, sniper/bundle detection | | **LaunchLab** | `discoverLaunchLabTokens` | Solana | New token launches with curve data | | **Clanker** | `baseFindClankerTokens` | Base | New tokens with market cap, creator info | | **MemeJob** | `hederaFindMemeCoins` | Hedera | Memecoins with market cap, socials, DEX links | | **Birdeye** | `birdeyeTradeData`, `birdeyeTrendingTokens` | Multi-chain | Volume, price action, trade data | | **Rugcheck** | `rugcheck` | Solana | Risk score, holder concentration, insider networks, freeze/mint authority | --- ## Workflow: Scout and Evaluate ### Step 1: Discovery Find what's gaining traction. ```bash emblemai --agent --profile default -m "Use findSolanaGems with sortBy trending to show trending Solana tokens with market cap, volume, holder count, and organic score" ``` ### Step 2: Risk Check Evaluate safety before any position. ```bash emblemai --agent --profile default -m "Use rugcheck to analyze [TOKEN_ADDRESS] — show risk score, top holders, insider networks, freeze authority, and LP status" ``` ### Step 3: Volume Deep Dive Check real trade data for the token. ```bash emblemai --agent --profile default -m "Use birdeyeTradeData to show [TOKEN_ADDRESS] on Solana — price changes across timeframes, unique wallets, buy/sell volumes" ``` ### Step 4: Smart Money Check See if whales are involved. ```bash emblemai --agent --profile default -m "Use nansen_smart_money_trades to check if smart money has traded [TOKEN_NAME] on solana recently" ``` --- ## Scouting Patterns ### New Launches (Solana) ```bash emblemai --agent --profile default -m "Use getPumpFunTokens with type about_to_graduate to show tokens about to graduate with volume and holder data" emblemai --agent --profile default -m "Use discoverLaunchLabTokens to show newest LaunchLab token launches" ``` ### New Launches (Base) ```bash emblemai --agent --profile default -m "Use baseFindClankerTokens to show new Clanker tokens on Base with market cap and creator info" ``` ### New Launches (Hedera) ```bash emblemai --agent --profile default -m "Use hederaFindMemeCoins to show trending memecoins on Hedera with market cap and socials" ``` ### Trending Gems ```bash emblemai --agent --profile default -m "Use findSolanaGems to show trending tokens sorted by organic score" emblemai --agent --profile default -m "Use birdeyeTrendingTokens on solana to show top tokens by volume" ``` ### Whale Watch ```bash emblemai --agent --profile default -m "Use nansen_smart_money_trades to show what smart money is trading on solana right now" emblemai --agent --profile default -m "Use getCoinglassHyperliquidWhaleAlert to show large memecoin positions" ``` ### Red Flag Detection ```bash emblemai --agent --profile default -m "Use rugcheck to analyze [TOKEN_ADDRESS] — check for honeypot indicators, mint authority, concentrated holders, and locked LP" ``` --- ## Risk Assessment The `rugcheck` tool returns a `score_normalised` (0-100) plus detailed risk data: | Score | Risk Level | What It Means | |-------|-----------|---------------| | 80-100 | Low | Dispersed holders, no freeze/mint authority, locked LP | | 50-79 | Medium | Some concentration or unlocked LP — proceed with caution | | 20-49 | High | Major red flags (concentrated holders, active mint authority) | | 0-19 | Critical | Honeypot/rug indicators detected — do not interact | Additional rugcheck data: top holder percentages, insider network analysis, creator token history, LP liquidity depth, freeze authority status. --- ## Communication Tips Name the exact tool for reliable execution: | Bad | Good | |-----|------| | `"memes"` | `"Use findSolanaGems with sortBy trending to show Solana memecoins"` | | `"safe?"` | `"Use rugcheck to analyze [TOKEN_ADDRESS] on Solana"` | | `"new coins"` | `"Use getPumpFunTokens with type about_to_graduate to show newest launches"` | --- ## Safety Notice Memecoins are extremely high risk. This skill provides data and analysis to inform decisions — it does not guarantee safety. Always: - Never invest more than you can afford to lose - Verify contract addresses independently - Check multiple data sources before acting - Use stop-losses on any position --- ## Helper Script ```bash bash scripts/memecoin-scan.sh [chain] ``` See [scripts/memecoin-scan.sh](scripts/memecoin-scan.sh) for trending memecoin scanning. --- ## Links - [Agent Wallet CLI](https://www.npmjs.com/package/@emblemvault/agentwallet) - [EmblemVault Docs — canonical](https://emblemvault.ai/docs) - [EmblemVault Docs — interactive](https://emblemvault.dev)
Related in Data & Analytics
clawarr-suite
IncludedComprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).
querying-soql
IncludedSOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
habit-flow
IncludedAI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
visualizing-data
IncludedBuilds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.