Messari Podcast Episode 3: Yulesa Briggs & Roberto Zanetti Dive Into Financial Reporting for DeFi
September 28, 2024 – DeFi news desk
Messari’s weekly “DeFi Report” podcast welcomed two of the firm’s senior analysts, Yulesa Briggs and Roberto Zanetti, for the third installment of the series, “Financial Reporting in DeFi.” The conversation focused on the practical steps required to assemble a quarterly report that relies on cryptocurrency data, the types of metrics that now constitute a “standard” reporting package, and how the broader industry is beginning to use that information to inform strategic decisions.
Building a Quarterly Report: From Raw Data to Published Insight
Briggs opened the discussion by outlining the typical workflow her team follows each quarter:
- Define the Scope – Identify the specific protocols, token families, and market segments to be covered. Most reports target the top 20‑30 DeFi platforms by TVL, supplemented by a handful of emerging chains that show rapid growth.
- Collect On‑Chain Metrics – Pull data from block explorers, validator APIs, and Messari’s own indexing pipelines. Core on‑chain variables include transaction volume, active addresses, gas usage, and liquidity‑provider (LP) inflows/outflows.
- Integrate Off‑Chain Signals – Combine on‑chain figures with market‑wide data such as price feeds, exchange order‑book depth, and macro‑economic indicators (e.g., fiat inflation, interest‑rate expectations).
- Normalize & Adjust – Apply normalization methods to account for protocol upgrades, token migrations, or changes in governance that could distort raw numbers. For example, a “reset” of a token’s supply after a burn event requires a correction factor to keep YoY comparisons meaningful.
- Run Attribution Analyses – Break down the drivers of growth or decline into categories like “new user acquisition,” “capital redeployment from CeFi,” and “protocol‑specific incentives.”
- Draft Narrative & Visuals – Convert the analytical output into a concise narrative supported by charts, heat‑maps, and risk‑assessment tables. The final document is typically 12‑15 pages for internal stakeholders and a 5‑page executive summary for external partners.
Zanetti added that the “data‑first” mentality is essential, not only for credibility but also for complying with emerging regulatory expectations around transparency in the decentralized finance space.
Core Data Types That Shape DeFi Reporting
The episode highlighted several categories of data that have become de‑facto standards in quarterly reporting:
| Category | Typical Metrics | Why It Matters |
|---|---|---|
| Liquidity | Total Value Locked (TVL), LP token supply, liquidity depth per pool | Indicates capital availability and the resilience of a protocol to market stress. |
| User Activity | Number of unique active addresses, new wallet creation rate, retention percentages | Signals network effects and the health of the user base. |
| Revenue & Yield | Protocol fees, staking rewards, LP fees, net APY | Gives investors a direct view of cash‑flow generation. |
| Governance | Proposal count, voter participation, token‑holder distribution | Reflects decentralization and decision‑making efficiency. |
| Risk Metrics | Collateralization ratios, liquidation events, smart‑contract audit status | Helps assess systemic vulnerability. |
| Cross‑Chain Flows | Bridged asset volumes, inter‑protocol asset swaps | Captures ecosystem interoperability, a growing source of systemic risk and opportunity. |
The analysts underscored that the reliability of these numbers hinges on data provenance. Messari’s “Data Integrity Layer,” which cross‑validates information across multiple nodes and third‑party services, is now a key component of their workflow.
Leveraging Reports for Decision‑Making
According to Briggs, the primary consumers of quarterly DeFi reports fall into three groups:
- Institutional Investors – Use the reports to benchmark fund performance, calibrate exposure limits, and identify untapped protocol niches.
- Protocol Teams – Compare their metrics against peers, refine incentive structures, and prioritize engineering resources (e.g., security upgrades vs. UI improvements).
- Regulators & Policymakers – Although still nascent, the reports provide a data‑driven foundation for risk‑based supervision and for shaping guidance around custody and market integrity.
Zanetti noted that the “feedback loop” is now shortening: after a report is published, asset managers often adjust their allocations within days, prompting protocols to tweak parameters (e.g., reward rates) within a subsequent reporting window. This rapid iteration mirrors the agility that DeFi promises but also raises questions about the volatility of capital flows.
Industry Impact & Emerging Trends
The episode placed the current state of reporting within a broader evolution of DeFi analytics:
- Standardization Efforts – Consortia such as the DeFi Data Standards Working Group are drafting schema for metric definitions, aiming to reduce the “apples‑to‑oranges” problem that still plagues cross‑protocol comparisons.
- AI‑Assisted Insight Generation – Early pilots employ machine‑learning models to detect anomalous patterns (e.g., sudden spikes in liquidation events) and flag them for human review before they appear in a quarterly release.
- Regulatory Convergence – Jurisdictions like the EU are drafting “MiCA‑style” reporting requirements, and firms that already produce robust quarterly reports may face lower compliance hurdles.
The analysts cautioned, however, that data quality remains uneven, particularly for newer L2 solutions and niche chains where block explorer APIs are still maturing. They recommend a “multiple‑source verification” approach for critical metrics.
Key Takeaways
- Quarterly reporting in DeFi now follows a reproducible framework that blends on‑chain data, off‑chain market signals, and normalization routines to produce a reliable narrative for investors and protocol teams.
- Core metrics—TVL, active addresses, fee revenue, governance participation, and risk indicators—serve as the backbone of most reports and are increasingly demanded by institutional stakeholders.
- Data integrity is paramount; Messari’s layered validation process is highlighted as a best‑practice model for mitigating the risk of inaccurate or manipulated data.
- Reports are shaping capital allocation in near real‑time, creating a feedback loop that influences protocol incentives and potentially accelerates market cycles.
- Standardization and AI‑driven analytics are the next frontiers, promising more consistent reporting standards and faster detection of systemic risks.
As DeFi matures, the ability to distill complex blockchain activity into clear, actionable quarterly insights is rapidly becoming a competitive advantage—both for market participants seeking alpha and for regulators aiming to uphold market integrity.
For a full transcript of the episode and access to Messari’s latest quarterly DeFi report, visit the Messari Podcast archive.
Source: https://dune.com/blog/yulesa-roberto
