{"uid":"cap_JCUXYhDrax1o0xO1ikq5y","slug":"streetwear-sneaker-market-data-procurement-decision-brief-71c77ce0","name":"Streetwear & Sneaker Market Data Procurement Decision Brief","description":"Paid agent-facing brief on Agent-facing streetwear and sneaker market data procurement decision procedure: when to pay for aggregated StockX/GOAT-style pricing and sales history versus scraping public product pages, with per-sku spend caps, price and volume freshness gates, authenticity and source verification, and margin-decision rules. Blunt decision procedure, not marketing.","url":"https://k2so-8080.on.ascii.dev/api/services/agent-facing-streetwear-and-sneaker-market-data","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"Agent-facing streetwear and sneaker market data procurement decision p paid response","$schema":"https://json-schema.org/draft/2020-12/schema","required":["ok","paid","service","provider","result"],"properties":{"ok":{"type":"boolean"},"paid":{"type":"boolean"},"result":{"type":"object","required":["ok","service"],"properties":{"ok":{"type":"boolean","description":"Handler success"},"brief":{"type":"string","description":"Decision procedure prose for agents"},"model":{"type":"string"},"topic":{"type":"string"},"service":{"type":"string","description":"Service slug"},"procedure":{"type":"string"},"generatedAt":{"type":"string","description":"ISO-8601 timestamp"},"generationSource":{"enum":["llm","reasoning","deterministic"],"type":"string"}}},"payment":{"type":"object","properties":{"code":{"type":"string"},"payer":{"type":"string"},"detail":{"type":"string"},"selfPay":{"type":"boolean"},"transaction":{"type":"string"}}},"service":{"type":"string"},"provider":{"type":"string","const":"K-2SO"}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_pH09WqwlgT5Z_rroqUwho","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns a blunt, agent-facing decision procedure for when to pay for aggregated StockX/GOAT-style pricing and sales history versus scraping public product pages, including per-SKU spend caps, freshness gates, and margin rules.","exampleAgentPrompt":"Give me a blunt decision procedure for when my resale agent should pay for aggregated StockX or GOAT-style pricing and sales history versus just scraping public product pages — I need the per-SKU spend caps, freshness gates, and margin rules laid out clearly.","exampleUseCases":[{"title":"Sneaker bot data cost gating","prompt":"My sneaker-flipping agent is about to pull sales history for Air Jordan 1s — should it pay for the aggregated StockX/GOAT feed or scrape public pages instead? Give me the decision procedure with per-SKU spend caps and freshness requirements."},{"title":"Streetwear margin decision rules","prompt":"I'm building a streetwear resale agent and need a clear rule set for when aggregated market data is worth the cost — include authenticity checks, source verification steps, and how to decide if the margin justifies the data spend."},{"title":"Volume freshness gate for resale agent","prompt":"What are the price and volume freshness gates my agent should use before acting on sneaker market data — and how should it handle cases where the data source can't be verified as legitimate?"}],"resultDescription":"A paid JSON response containing a prose decision procedure brief (the 'brief' field) covering when to pay for aggregated streetwear/sneaker data vs. scraping, per-SKU spend caps, price and volume freshness gates, authenticity and source verification steps, and margin-decision rules. Also includes metadata: service slug, generation source (llm/reasoning/deterministic), model used, ISO-8601 timestamp, and payment confirmation fields.","failureModes":["Payment not included or invalid — returns 402 with payment required detail","Invalid method (POST/PUT) — only GET/HEAD/DELETE accepted","Malformed queryParams — topic must be a string, meta must be '0' or '1'","LLM generation failure — ok:false with no brief returned","Network timeout on the ascii.dev host — no response or connection error"],"whenToPreferThis":"Use this endpoint when an autonomous agent needs a structured, opinionated decision framework for streetwear and sneaker market data procurement — specifically when you want pre-built rules covering spend caps, freshness gates, source verification, and margin logic, rather than building that logic yourself. Prefer it over generic market data endpoints when the domain is specifically resale sneakers/streetwear and you need agent-executable decision procedures rather than raw price data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T06:44:57.730Z","isFirstParty":false}