Operator-ready prompt for reuse, tuning, and workspace runs.
This item is set up for developers who want to inspect the original language, fork it into Workspace, and adapt the evidence model without losing the source prompt structure.
Implementation handoffs, eval setup, and prompt tuning where you need the original structure intact.
Inspect first, copy once, then fork into Workspace when you want variants, notes, and model settings attached to the same run.
Swap domain facts, examples, and any hard-coded entities for your own context.
Tighten the evidence or verification requirement if this is headed toward production.
Decide which failure mode you want to evaluate first before you branch the prompt.
This prompt already carries implementation detail, tool context, and a final-output instruction. Keep that structure intact when you tune it, or your comparison runs get noisy fast.
Open this prompt inside Workspace when you want a live iteration loop.
Copy for quick reuse, or run it in Workspace to keep prompt variants, model settings, and prompt-history changes in one place.
Structured source with 1 active lines to adapt.
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Prompt content
Original prompt text with formatting preserved for inspection and clean copy.
Orchestrate the interaction between the 'Transaction Monitor', 'Compliance Auditor', and a 'Reporting Agent'. The system should generate a structured compliance report based on the findings, including explanations for anomalies and proposed remediation. Ensure the final report can be passed securely via A2A if needed.
Adaptation plan
Keep the source stable, then branch your edits in a predictable order so the next prompt run is easier to evaluate.
Hold the task contract and output shape stable so generated implementations remain comparable.
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.
Copy once for a pristine source snapshot, then move the prompt into Workspace when you want variants, run history, and side-by-side tuning without losing the original.
Prompt diagnostics
Quick signals for how structured this prompt already is and where adaptation work is likely to happen first.
This prompt is mostly narrative and instruction-driven, so you can adapt examples and output constraints first without disturbing the structure.
Secure DeFi Compliance Agents with Claude Opus and MCP
Inspired by Circle's Arc blockchain trial with major financial institutions, this challenge focuses on building a multi-agent system to ensure regulatory compliance and secure transaction monitoring within decentralized finance (DeFi) environments. Participants will design and implement a network of specialized agents that leverage advanced LLMs for sophisticated reasoning, secure agent-to-agent (A2A) communication for inter-institutional data exchange, and the Multi-Agent Communication Protocol (MCP) for seamless integration with enterprise systems and blockchain APIs. The system will be capable of analyzing blockchain transaction data, identifying potential compliance risks, generating audit-ready reports, and orchestrating responses to detected anomalies. Emphasis will be placed on secure data handling, robust tool integration, and the ability of agents to adapt their reasoning depth based on the complexity and criticality of the task, mirroring real-world demands for transparency and security in financial operations.
Use the challenge page to recover the original task boundaries before you tune the prompt. That keeps your variants grounded in the same evaluation target instead of drifting into a different problem.