OpenAPI skills for AI agents trading memecoins

What it does

GMGN-skills is a collection of OpenAPI skills that wire AI agents directly into GMGN’s trading and analytics infrastructure. Agents can query live token rankings, wallet holdings, and on-chain signals—including smart-money flows, KOL positions, and rat trader ratios—then submit market, limit, and strategy orders across Solana, BSC, Base, and Ethereum. The repo also ships with nine pre-built workflow templates for token research, wallet profiling, and risk screening.

The interesting bit

Instead of generic market data, the skills surface deeply memecoin-specific signals like bundler bot exposure, sniper wallet counts, and suspected insider hold rates. A standout is the cooking order flow, which lets an agent buy a token and attach take-profit or stop-loss logic in a single command.

Key highlights

• Live multi-chain data with 1-minute granularity for trending tokens and OHLCV candles.
• Over 500 data dimensions, including rug-ratio scores, honeypot detection, and bonding-curve status.
• End-to-end order submission in under 0.3 seconds, with market, limit, trailing stop-loss, and multi-wallet batch trading.
• One-command cooking orders that bundle entry buys with conditional exits.
• Nine built-in workflow docs for research, Smart Money profiling, and daily briefs.

Caveats

• The README warns that AI agents may try to scrape the GMGN website instead of using the CLI, requiring explicit prompt guardrails.
• Initial setup requires a browser-based API key generation step, so the agent cannot fully bootstrap itself without human interaction.

Verdict

Developers building autonomous crypto-trading agents—especially those focused on high-frequency memecoin speculation—should look here. If you are not comfortable giving an AI agent API keys that can spend funds, this is not for you.