{"uid":"cap_h6E3nxNoGSbaGIqmJtCcC","slug":"archonics-instant-audit-c03d5b78","name":"Archonics Instant Audit","description":"Archonics Instant Audit — full-methodology context engineering audit, returns structured JSON.","url":"https://audits.archonics.ai/instant-audit","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"49","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$49/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"49","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"49","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_rsRrzdKQMP_r92_QpL4CY","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"49","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Performs a full-methodology context engineering audit and returns the results as structured JSON.","exampleAgentPrompt":"Run an Archonics Instant Audit on my AI agent system and give me back the full structured JSON report — I want a complete context engineering methodology assessment.","exampleUseCases":[{"title":"AI agent context quality check","prompt":"Run a full context engineering audit on my customer support AI agent and return the structured JSON results so I can see where the methodology is weak."},{"title":"Pre-launch AI product review","prompt":"Before we ship this new AI assistant, can you run an Archonics Instant Audit on it and give me the full JSON breakdown of any context engineering issues?"},{"title":"Comparing context designs","prompt":"I've updated my prompt architecture — run an Archonics Instant Audit on the new version and return the structured JSON so I can compare methodology scores against the old design."}],"resultDescription":"A structured JSON object containing a full context engineering audit report, including methodology scores, findings, and assessment of the target system's context design quality.","failureModes":["Invalid or missing target specification results in a 400 error","Insufficient payment (less than $49 USDC via x402) results in a 402 Payment Required response","Malformed request body returns a validation error","Service unavailability returns a 503 error","Ambiguous or unsupported target type may return a partial or empty audit result"],"whenToPreferThis":"Choose this endpoint when you need a rapid, structured, machine-readable audit of an AI system's context engineering methodology — especially useful for CI/CD pipelines, agent self-assessment, or pre-launch quality gates. Prefer it over manual review or general-purpose LLM evaluation when you need consistent, repeatable, JSON-structured output grounded in a specific audit methodology.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:38:51.763Z","isFirstParty":false}