{"uid":"cap_OV1077qO5PhPFtL-GXWv9","slug":"agentdiet-store-benchmark-871e7d8f","name":"AgentDiet Store Benchmark","description":"Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.","url":"https://status.agentdiet.dev/v1/store-benchmark?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","POST"],"type":"string"},"queryParams":{"type":"object","properties":{"store_url":{"type":"string"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"data":{},"status":"ok","roi_proof":{"compression_ratio_pct":91.4}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_8zxH7eeeXRIE7cdwXT3tE","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Retrieves a compression benchmark for a given store URL, reporting the context window reduction ratio achievable by AgentDiet's AI de-bloating pipeline.","exampleAgentPrompt":"Run an AgentDiet benchmark on my store at https://myshop.example.com and tell me what compression ratio I can expect for context window reduction.","exampleUseCases":[{"title":"Pre-purchase ROI check for AI agent","prompt":"Before I sign up for AgentDiet, can you benchmark my Shopify store at https://coolthreads.myshopify.com and show me the compression ratio so I know how many tokens I'd save?"},{"title":"Compare stores for context savings","prompt":"Benchmark my store https://gadgetworld.com with AgentDiet and tell me the exact compression ratio — I want to know if it's worth switching my A2A pipeline to use their context distiller."},{"title":"Validate context distillation before deployment","prompt":"We're about to deploy an AI agent on top of https://bigcatalog.store — can you pull the AgentDiet benchmark for that URL so we can confirm the ROI proof before going live?"}],"resultDescription":"Returns a JSON object with a status field ('ok'), a data object containing benchmark results, and an roi_proof object including the compression_ratio_pct (e.g. 91.4%) — indicating what percentage of context window tokens can be eliminated for the given store URL.","failureModes":["Missing or invalid store_url query parameter returns error or empty data","Unreachable or non-existent store URL may result in failed benchmark with no compression data","Payment not settled in USDC on Base causes 402 rejection before the request is processed","Malformed input schema (missing required type or method fields) causes request rejection","Rate limiting or node unavailability may return non-200 status"],"whenToPreferThis":"Choose this endpoint when you need a quick, deterministic ROI estimate or proof of compression for a specific store URL before committing to AgentDiet's full context distillation pipeline. It is particularly useful for pre-deployment validation, cost-benefit analysis for LLM token reduction, and benchmarking ecommerce store content against AgentDiet's 85% token diet claims. Prefer this over general-purpose compression tools when you are working within an x402/L402 micro-payment agent workflow and need a cryptographically settled, trustless benchmark.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:44:29.394Z","isFirstParty":false,"canonicalSlug":"agentdiet-store-benchmark-871e7d8f"}