Quantitative DeFi analysis, productized.
PhD-grade liquidity-position analysis powered by defipy — our open-source AMM analytics library with 50,000+ downloads. Fixed-price reports. Operator sign-off. Methodology you can verify.
Three productized services. Fixed price, fixed scope, fast turnaround.
Each engagement contracted through DeFiMind Inc. Reports delivered as branded PDFs, with methodology citations and reproducibility notes.
LP Position Audit
Forensic analysis of a single liquidity position. PnL attribution, impermanent loss exposure, exit slippage, depeg risk, and 1–3 concrete recommendations.
Covers Uniswap V2, V3, Balancer weighted pools, Curve stableswaps.
- Deliverable
- 6–10 page PDF
- Turnaround
- 5 business days
- Price
- $2,500
DAO Treasury Review
Full review of your DAO’s LP position book. Per-position analysis, cross-position risk, named stress scenarios, prioritized recommendations — written for governance forum publication.
Up to 10 positions. Larger books quoted on request.
- Deliverable
- PDF + markdown, 20–35 pages
- Turnaround
- 2–3 weeks
- Price
- From $10,000
Pool Health & Rug Risk
Pre-entry due diligence on a pool you’re considering. TVL trend, fee/volume health, liquidity stability, rug signal screen, and slippage curves at your deployment size.
Ends with an explicit go/no-go recommendation.
- Deliverable
- 4–6 page PDF
- Turnaround
- 3 business days
- Price
- From $1,500
The math is open. The reports are paid.
DeFiMind analysis is powered by defipy — our open-source DeFi analytics library, maintained on GitHub with 50,000+ downloads across two years. Full coverage of Uniswap V2 and V3, Balancer weighted pools, and Curve-style stableswaps.
Buyers don’t pay for proprietary math. They pay for the analysis: the right position selected, the data pulled cleanly, the model run correctly the first time, and the recommendation written by the operator behind the methodology.
Every report cites the defipy functions used, links to the source, and is reproducible by anyone who wants to verify it.
A research practice for liquidity analysis.
DeFiMind is the consulting practice of Ian Moore — PhD in Applied Mathematics, former Chief Data Scientist at Syscoin / SYS Labs, ETH Denver speaker, and the author of defipy.
The practice exists because the open-source math is widely used, and a meaningful fraction of users would rather have the analysis delivered as a finished report than do the work themselves. DeFiMind is for that fraction.
Engagements are contracted through DeFiMind Inc.
Building toward agent-augmented analytics with operator sign-off — open methodology, human accountability, faster delivery. More on the direction in the arXiv paper and on Medium.
Two paths in.
Productized SKUs route to email; scoped engagements start with a 30-minute call.
LP Audits & Pool Health
Email contact@defimind.ai with the position or pool address and your inputs. Reply within 24 hours.
contact@defimind.ai →Treasury Reviews & Scoped Work
Book a 30-minute scoping call. We’ll cover scope, inputs, timeline, and price before any commitment.
Book a call →