zauthx402

documentation

zauthx402docs

Agent Collective

Every campaign runs four independent AI agents in parallel, each powered by a different large language model provider. All four agents receive the same objective, have access to the same tools, and work simultaneously, but they reason independently. This design isn't redundancy for its own sake; it's how we validate findings and reduce the risk of hallucination.

When multiple agents reach the same conclusion through different reasoning paths, confidence increases dramatically. When they disagree, that divergence itself is valuable: it surfaces ambiguity in the target system or exposes edge cases that a single model might miss. Operators can compare results across all four terminals, cross-reference findings, and make informed decisions with multiple perspectives rather than trusting a single AI's interpretation.

ChatGPT

Powered by OpenAI's GPT-4o, this agent brings strong general reasoning and extensive training on web content and documentation. GPT models excel at parsing complex API specifications, understanding error messages, and generating well-structured payloads. When testing x402 endpoints, ChatGPT often provides the most readable explanations of what it's attempting and why.

DeepSeek

DeepSeek's reasoning model takes a methodical, step-by-step approach to problem solving. It tends to be more deliberate in its tool usage, often pausing to analyze responses before proceeding. This makes it particularly effective at catching subtle inconsistencies in API behavior or payment validation logic that faster models might overlook. DeepSeek frequently identifies edge cases that other agents miss.

Grok

xAI's Grok model brings a different perspective shaped by its training methodology. Grok tends to be more aggressive in its testing approach, willing to try unconventional payloads or probe boundaries that other models might consider out of scope. This makes it valuable for discovering unexpected behaviors in x402 implementations. It's often the first to find authentication bypasses or pricing logic flaws.

Claude

Anthropic's Claude is known for careful, nuanced analysis and strong adherence to instructions. In our collective, Claude often serves as a stabilizing presence, less likely to hallucinate findings and more likely to clearly articulate uncertainty when results are ambiguous. Claude's responses tend to be well-organized and thorough, making it easier to extract actionable intelligence from its findings.