{"uid":"cap_KMwWq5v9xDpoIR8MwDWsS","slug":"orbonomy-llm-think-ai-reasoning-endpoint-b2bee4b9","name":"Orbonomy LLM Think — AI Reasoning Endpoint","description":"50+ pay-per-call API endpoints across accommodation, AI, content, fact-checking, and data services. Powered by x402 protocol.","url":"https://backup-v2api.orbonomy.xyz/api/llm/think","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string"}}},"responseSchema":{"type":"object","properties":{"success":{"type":"boolean"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_WJ3ktxQVC6gbhRym8MNPS","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Sends a text prompt to an LLM reasoning engine and returns a structured response with the model's output.","exampleAgentPrompt":"Think through this for me: 'What are the main trade-offs between using a relational database versus a document store for a social media application?' — and give me your best reasoning.","exampleUseCases":[{"title":"Analyze customer feedback sentiment","prompt":"I need you to think through this batch of customer reviews and help me understand the top three pain points our users are experiencing. Can you reason through the feedback and identify patterns?"},{"title":"Debug complex technical architecture decisions","prompt":"Walk me through this problem: we're deciding between a microservices setup or a monolithic architecture for our new platform. What are the key trade-offs I should consider, and what would you recommend based on our scale?"},{"title":"Generate strategic business recommendations","prompt":"Think through this for me: we have the option to expand into three new markets this year, but we only have budget for one. Can you reason through the market opportunity, competitive landscape, and execution risk for each option?"}],"resultDescription":"Returns a JSON object with a success boolean and the LLM's reasoned response to the submitted text prompt.","failureModes":["Missing required 'text' field returns validation error","Payment not received via x402 protocol returns 402 Payment Required","Empty or malformed text input may return unsuccessful response","Server unavailable on backup domain may cause timeout or 503","LLM model overload may result in delayed or null response"],"whenToPreferThis":"Choose this endpoint when you need a pay-per-call LLM reasoning capability without committing to a subscription, especially when integrating with the x402 micropayment protocol. Best for agents needing occasional AI reasoning calls billed per use in USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:52:50.698Z","isFirstParty":false}