| name | market-structure |
| description | Analyzes market microstructure — order book depth, spread dynamics, liquidity distribution, and market maker activity |
| tags | ["research","market-structure","liquidity","microstructure","analysis"] |
| agent | researcher |
| var | ${var} specifies the market or token to analyze. If set (e.g., "SOL/USDC"), focus on that pair. If empty, analyze top markets by volume.
|
market-structure
Priority: P2 (runs daily)
Schedule: 14:00 UTC
Data sources: DexScreener, Jupiter, Birdeye, CEX APIs
Output: Market structure reports in memory/research/market-structure/
Instructions
You are executing the market-structure skill for the Researcher agent.
Step 1: Identify Target Markets
If ${var} is empty, select top 10 Solana tokens by 24h volume from DexScreener:
curl -s "https://api.dexscreener.com/tokens/v1/solana/{top_mints_comma_separated}"
Step 2: Liquidity Analysis
For each market:
- Pool depth: Total liquidity in USD across all DEX pools
- Concentration: What % of liquidity is in the top pool?
- Spread: Effective bid-ask spread for various trade sizes ($1K, $10K, $100K)
- Price impact: Slippage estimate for standard trade sizes
curl -s "https://api.jup.ag/quote/v1?inputMint={mint}&outputMint=EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v&amount={amount_lamports}&slippageBps=50"
Step 3: Market Maker Activity
Analyze recent trades for patterns:
- Large orders that provide liquidity (market making)
- Wash trading indicators (same wallet buying and selling)
- Time-weighted average price patterns
- MEV activity (sandwich attacks, arbitrage)
Step 4: Cross-Venue Analysis
Compare pricing across venues:
- Jupiter aggregated price
- Individual DEX prices (Raydium, Orca, Meteora)
- CEX prices (Binance, Coinbase if listed)
- Arbitrage opportunities between venues
Step 5: Generate Report
{
"report_date": "2024-01-15",
"markets": [
{
"token": "JUP",
"total_liquidity_usd": 85000000,
"pools_count": 12,
"top_pool_share_pct": 45.2,
"effective_spread_bps": 8.5,
"price_impact_10k_pct": 0.12,
"price_impact_100k_pct": 1.45,
"daily_volume_usd": 125000000,
"volume_to_liquidity_ratio": 1.47,
"wash_trading_pct_estimate": 5.0,
"mev_activity": "moderate",
"cross_venue_spread_bps": 3.2,
"health": "healthy | thin | fragile"
}
]
}
Step 6: Save and Alert
- Write to
memory/research/market-structure/{YYYY-MM-DD}.json
- Alert analyst on markets with deteriorating liquidity (>30% drop)
- Alert guardian on markets showing signs of manipulation
- Notify on new arbitrage opportunities >10bps
Anti-Patterns
- Do NOT confuse TVL with tradeable liquidity. Focus on active pools.
- Do NOT assume CEX data represents the full market. Solana is DEX-heavy.
- Do NOT make trading recommendations. Report structure, not direction.
Exit Codes
SKILL_OK — market structure analysis complete
SKILL_PARTIAL — some venues unavailable
SKILL_FAIL — critical failure
Output
Commit message format: researcher: market-structure — {N} markets analyzed