{"uid":"cap_W0RS2dSxi0whfDj-_mK8y","slug":"facilitator-volume-claim-audit-procedure-xrpl-x402-f11ee28f","name":"Facilitator Volume-Claim Audit Procedure (XRPL x402)","description":"Paid agent-facing brief on facilitator volume-claim audit procedure: how an agent verifies a payment facilitator's self-reported settlement count (XRPL x402 facilitator near 2M AI agent transactions) against on-chain evidence, with sampling windows, per-rail counting rules, and a verdict-0. 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a paid AI-generated decision procedure for verifying a payment facilitator's self-reported settlement count against on-chain evidence on XRPL x402 rails.","exampleAgentPrompt":"I need the step-by-step decision procedure for auditing an x402 payment facilitator's self-reported settlement count — including sampling windows, per-rail counting rules, and how to reach a final verdict based on on-chain XRPL evidence.","exampleUseCases":[{"title":"Auditing facilitator volume before integration","prompt":"Before we integrate this x402 facilitator that claims nearly 2 million AI agent transactions, walk me through the full audit procedure for verifying their settlement count against on-chain XRPL evidence, including what sampling window I should use and how to get a final verdict."},{"title":"Detecting inflated transaction counts","prompt":"I suspect the x402 facilitator we're using is inflating their settlement numbers — give me the decision procedure for checking their self-reported volume claim against blockchain data, with the per-rail counting rules I need to apply."},{"title":"Compliance check on facilitator claims","prompt":"For our compliance review, I need the structured procedure an agent should follow to audit a payment facilitator's volume claims on XRPL x402 rails — specifically the sampling methodology and how to issue a verdict on whether the numbers check out."}],"resultDescription":"A paid JSON response containing prose decision procedure text (120+ words) describing how to audit a facilitator's volume claim, including sampling window methodology, per-rail counting rules, and a verdict framework. Also includes generation metadata such as model name, timestamp, generation source, and service slug.","failureModes":["Payment not received: endpoint returns 402 requiring USDC payment before content is delivered","Invalid method: non-GET/HEAD/DELETE requests are rejected per schema","Topic override malformed: unsupported topic string may result in fallback to default procedure","LLM generation failure: generationSource may fall back to deterministic mode if model is unavailable","Rate limiting or service unavailability from k2so.wrong.systems host"],"whenToPreferThis":"Choose this endpoint when an AI agent needs a structured, blunt decision procedure for auditing x402 facilitator volume claims specifically on XRPL rails — particularly when evaluating near-2M transaction claims with sampling-based on-chain verification. Prefer this over generic blockchain explorers or manual audit approaches when you need a ready-to-execute procedure with per-rail counting rules and a clear verdict framework delivered as prose.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:40:14.145Z","isFirstParty":false,"canonicalSlug":"facilitator-volume-claim-audit-procedure-xrpl-x402-f11ee28f"}