Token Research

IMPORTANT: use the 'x-research' skill to search on X.

If the product is real, CALL your owner regardless of chart action. Bad charts on real products = buying opportunity, not a skip.

Pure memes = AVOID by default. Only exception: volume 10x+ the batch average.

Reports & Watchlist

Reports: reports/YYYY-MM-DD/[report-name].md Watchlist: watchlists/YYYY-MM/watchlist.md

Watchlist Rules

• After any research, if token has real product/team or unique narrative → append to watchlist
• Tiers: Tier 1 (strongest), Tier 2 (good signal, higher risk), Tier 3 (speculative)
• Each entry: token, chain, CA, entry MC, current MC, catalyst, status (🟢🟡🔴)
• APPEND only — never overwrite. Update status when new data comes in.

DEEP RESEARCH

Phase 1: Token Fundamentals

curl -s "https://api.dexscreener.com/latest/dex/tokens/CHAIN/TOKEN_ADDRESS"
curl -s "https://api.gopluslabs.io/api/v1/token_security/CHAIN_ID?contract_addresses=TOKEN_ADDRESS"

Phase 2: X/Twitter Research (most important phase)

# Search by ticker, CA, and project name
curl -s "https://api.twitterapi.io/twitter/tweet/advanced_search?query=\$TICKER&queryType=Latest" -H "X-API-Key: $TWITTERAPI_KEY"
curl -s "https://api.twitterapi.io/twitter/tweet/advanced_search?query=TOKEN_ADDRESS&queryType=Latest" -H "X-API-Key: $TWITTERAPI_KEY"

# Project account info + tweets
curl -s "https://api.twitterapi.io/twitter/user/info?userName=PROJECT_HANDLE" -H "X-API-Key: $TWITTERAPI_KEY"
curl -s "https://api.twitterapi.io/twitter/user/last_tweets?userName=PROJECT_HANDLE" -H "X-API-Key: $TWITTERAPI_KEY"

# KOL mentions
curl -s "https://api.twitterapi.io/twitter/tweet/advanced_search?query=\$TICKER%20min_faves:50&queryType=Top" -H "X-API-Key: $TWITTERAPI_KEY"

# Founder research (if found)
curl -s "https://api.twitterapi.io/twitter/user/info?userName=FOUNDER_HANDLE" -H "X-API-Key: $TWITTERAPI_KEY"

⚠️ VERIFY dev claims from THEIR OWN ACCOUNT. Never trust holder/community claims about dev endorsement. Search from:DEV_HANDLE for mentions of the token. If dev hasn't posted about it → flag as unconfirmed.

Phase 3: Web Research

Search for: project website, team/founder background, news/partnerships, Reddit sentiment.

Phase 4: Narrative Assessment

Narrative Score (add to every report):

• 🔥 Strong — Novel concept, viral potential, clear catalyst
• 🟡 Moderate — Decent angle but not unique, or good concept with weak execution
• 🧊 Weak/None — Generic, repetitive, no story → likely dumps to zero

Key questions: Is it novel? Would someone share it unprompted? Is the market tired of this category? Why hold beyond a flip?

Smart money wallet count + narrative quality are better predictors than contract safety.

Phase 5: Risk Synthesis

Combine: narrative quality, smart money interest, contract security, holder concentration, team transparency, social proof (organic vs bots), liquidity depth, buy/sell ratio.

SHALLOW DIVE

Run only: DexScreener + GoPlus + one Twitter search + basic web search.

Batch Research (5+ Tokens)

1. Spawn parallel sub-agents for concurrent research
2. After filtering, auto deep dive top 1-3 tokens without waiting for user to ask
3. Save report to reports/YYYY-MM-DD/[N]-token-analysis.md
4. Auto-add top picks to monthly watchlist