{"uid":"cap_a8SiQjQ11FQyDARIdyeEQ","slug":"retail-algorithmic-order-execution-decision-procedure-db24fe76","name":"Retail Algorithmic Order Execution Decision Procedure","description":"Paid agent-facing brief on retail algorithmic order execution decision procedure: order-type selection under retail API latency, limit order restrictions, slippage tolerance, fallback ladders. Blunt decision procedure, not marketing.","url":"https://k2so.wrong.systems/api/services/retail-algorithmic-order-execution-decision-proc?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"retail algorithmic order execution decision procedure: order-type selection paid response","$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":{"type":"json","example":{"ok":true,"paid":true,"result":{"ok":true,"brief":"plain prose decision procedure (120+ words)","model":"deepseek/deepseek-v4-flash-0731","topic":"string topic","service":"retail-algorithmic-order-execution-decision-proc","procedure":"same as brief","generatedAt":"2026-01-01T00:00:00.000Z","generationSource":"deterministic"},"service":"retail-algorithmic-order-execution-decision-proc","provider":"K-2SO"}},"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_5sAJkGsiD8d2Ux3x0kHSh","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 an AI-generated decision procedure brief for agents evaluating order-type selection in retail algorithmic trading contexts, delivered via x402 micropayment on Base.","exampleAgentPrompt":"Give me the decision procedure for retail algorithmic order execution order-type selection — I need a plain-prose reasoning guide my trading agent can follow when deciding which order type to use.","exampleUseCases":[{"title":"Algo trading agent order-type selection","prompt":"My trading bot needs to decide whether to use a market order, limit order, or stop order when executing a retail algo strategy — can you fetch the decision procedure it should follow?"},{"title":"Embedding trading logic in autonomous agent","prompt":"I'm building an autonomous trading agent and want to hardcode a decision procedure for order-type selection into its reasoning loop — get me the latest guidance brief from K-2SO on retail algorithmic order execution."},{"title":"Auditing agent trading decision rationale","prompt":"I need to document why my algo agent chose a particular order type during a trade — pull the decision procedure brief for retail algorithmic order execution so I can reference it in the audit trail."}],"resultDescription":"A JSON response containing a plain-prose decision procedure brief (120+ words) for order-type selection in retail algorithmic trading, along with metadata including the generating model (e.g. DeepSeek), generation source (llm/reasoning/deterministic), topic, service slug, and an ISO-8601 timestamp. Payment confirmation fields (paid, payer, transaction) are also included.","failureModes":["HTTP 402 returned if no valid x402 USDC payment signature is provided — agent must settle exact $0.002 USDC and retry with PAYMENT-SIGNATURE header","Invalid or malformed payment signature returns payment error detail","Unsupported HTTP method (POST, PUT, PATCH) returns error — only GET/HEAD/DELETE allowed","LLM generation failure may return ok:false in result object with no brief","Network or provider downtime on k2so.wrong.systems"],"whenToPreferThis":"Choose this endpoint when an AI agent needs a structured, prose-form decision procedure specifically for retail algorithmic order-type selection and can pay $0.002 USDC per call via the x402 protocol on Base. Prefer this over static documentation when you want a freshly generated, LLM-reasoned brief that can be parameterized by topic. It is purpose-built for agent-to-agent consumption in autonomous trading pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T07:06:15.523Z","isFirstParty":false,"canonicalSlug":"retail-algorithmic-order-execution-decision-procedure-db24fe76"}