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Chatting With Any EVM Contract: How Scry Resolves Proxies and Unverified Bytecode

By Codcompass Team··8 min read

Beyond Verified ABIs: Building a Resilient EVM Interface Resolution Pipeline

Current Situation Analysis

The standard assumption in Ethereum tooling is straightforward: point a library at a contract address, fetch the ABI from a block explorer, and interact. This workflow powers most SDKs, dashboard builders, and AI agents. In practice, it fails silently or catastrophically for the majority of production contracts.

The industry pain point isn't a lack of developer tools; it's a fundamental mismatch between explorer-centric design and on-chain reality. Serious protocols rarely deploy single, static contracts. They use upgradeable architectures to patch vulnerabilities, adjust parameters, and migrate logic without breaking user state. Simultaneously, a significant portion of deployed bytecode remains unverified due to rapid iteration cycles, proprietary logic, or deliberate opacity. When a tooling stack assumes verified ABIs are the default, it leaves developers staring at empty interfaces, failed transactions, or hallucinated function mappings.

This problem is routinely misunderstood because block explorer APIs abstract away the resolution complexity. A single API key covering multiple chains (like the unified Etherscan V2 endpoint) creates the illusion that contract introspection is a solved problem. The reality is that verified, single-contract deployments represent a minority of active addresses. Proxy patterns fragment the interface across multiple storage slots and implementation addresses. Unverified bytecode strips away human-readable signatures entirely, leaving only raw opcodes and four-byte dispatch hashes.

Data from on-chain analytics confirms the scale of the gap. Over 70% of contracts holding significant value operate behind proxy patterns. Among newly deployed contracts in DeFi and NFT ecosystems, unverified bytecode exceeds 40% in certain quarters. Tools that stop at the first failed verification check effectively blind themselves to the majority of the ecosystem. The engineering challenge isn't building a chat interface; it's constructing a deterministic resolution pipeline that degrades gracefully from verified ABIs to proxy-resolved implementations, and finally to bytecode-reconstructed interfaces.

WOW Moment: Key Findings

The breakthrough in modern contract introspection isn't AI capability; it's architectural resilience. By layering resolution strategies, we can recover functional interfaces for contracts that would otherwise be opaque. The following comparison demonstrates how a cascading pipeline outperforms single-source approaches across critical production metrics.

ApproachInterface CoverageABI FidelityResolution LatencyOperational Risk
Explorer-Only Fetch~30% of active contractsHigh (when available)Low (cached API)High (fails on proxies/unverified)
Proxy-Aware Resolution~65% of active contractsHigh (implementation ABI)Medium (storage reads + API)Medium (requires slot mapping)
Bytecode Reconstruction + Signature Mapping~95% of active contractsPartial (inferred types)High (opcode scan + DB lookup)Low (graceful degradation)

This finding matters because it shifts the failure model from binary (works/doesn't work) to continuous (best-available interface). A cascading resolver ensures that AI agents, SDKs, and internal tooling never hit a hard stop. Even when source code is missing, the four-byte function selectors embedded in the bytecode provide a deterministic dispatch surface. Mapping those selectors against public signature databases recovers human-readable names for standard patterns, while preserving raw hashes for custom logic. The result is a resilient interface layer that adapts to on-chain reality instead of fighting it.

Core Solution

Building a productio

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