orca-lp-analyticsFull-stack Orca Whirlpool agent — read-only pool analytics (discovery, ranking, 6-month stability, range sizing, Monte Carlo projection, retrospective yield,...
Install via ClawdBot CLI:
clawdbot install kaizen-orca/orca-lp-analyticsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.mainnet-beta.solana.com.Audited May 10, 2026 · audit v1.0
Generated May 20, 2026
An institutional market maker uses orca-lp to scan and rank Orca Whirlpool pools by TVL, fee tiers, and 6-month stability before committing capital. The agent generates ATR-based range sizing and Monte Carlo projections to optimize LP returns while minimizing impermanent loss.
A liquidity provider evaluates historical performance of a specific Orca pool by running retrospective yield calculations. The agent fetches 6 months of daily TVL and volume data, simulates what a $10,000 position would have earned, and compares fee tiers to guide future allocation decisions.
A portfolio manager running concentrated liquidity positions uses orca-lp to plan rebalances based on price movements. The agent quotes the current position's value, simulates closing and reopening at a new tick range, and executes the rebalance step-by-step after user confirmation with slippage checks.
A retail LP holder wishes to exit a position and swap tokens to SOL. Orca-lp lists all positions, generates a quote for closing and swapping, and produces separate executable phases for close-and-drain and swap, ensuring minimum slippage and a dedicated wallet check.
A yield aggregator researcher scans Orca for the best USDC-USDT pools across multiple fee tiers. The agent ranks pools by 24h volume, fee APR, and stability to identify the most capital-efficient option, and outputs a comparison table for decision-making.
Offer a SaaS product that uses orca-lp to provide real-time pool analytics, stability scores, and range recommendations to retail and professional LPs. Users pay a monthly fee for advanced features like Monte Carlo projection and retrospective yield.
Provide a managed service that automatically rebalances and optimizes user positions on Orca using orca-lp's write capabilities. The service handles wallet isolation, confirmation workflows, and fee optimization for a performance fee.
Offer consulting engagements where orca-lp is used to analyze a client's existing or planned Orca positions, produce a detailed report with stability analysis, range sizing, and exit planning, and provide executable scripts for rebalancing.
💬 Integration Tip
To integrate orca-lp, ensure the environment has Node.js with TypeScript support and set SOLANA_RPC_URL to your preferred RPC endpoint. For write operations, configure a dedicated wallet with at least 0.02 SOL for fees and use the pinned dependencies from the package.
Scored May 20, 2026
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