{"uid":"cap_x_JotZoa6TUaBsovCg7FP","slug":"orbonomy-llm-batch-processing-fb6741a7","name":"Orbonomy LLM Batch Processing","description":"50+ pay-per-call API endpoints across accommodation, AI, content, fact-checking, and data services. Powered by x402 protocol.","url":"https://api.orbonomy.xyz/api/llm/batch","method":"POST","headers":{},"bodySchema":{"type":"object","required":["items","system_prompt"],"properties":{"items":{"type":"array"},"system_prompt":{"type":"string"}}},"responseSchema":{"type":"object","properties":{"success":{"type":"boolean"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.1","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","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":"$0.1/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_eKDtcHXhdPbqfSQbE2s86","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.1","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Processes multiple LLM prompts in a single batch request using a shared system prompt via the x402 pay-per-call protocol","exampleAgentPrompt":"Run a batch LLM job on these 5 product descriptions using the system prompt 'You are a concise copywriter. Rewrite each input to be more engaging in under 50 words.' and give me all five outputs.","exampleUseCases":[{"title":"Classify customer feedback in bulk","prompt":"Take these 20 support tickets and batch-process them with the system prompt 'Categorize each ticket as bug, feature request, or general feedback.' Then give me all the categorized results at once."},{"title":"Generate SEO metadata for articles","prompt":"I have 15 blog posts that need meta descriptions. Run them all through a batch job with the system prompt 'Write a compelling meta description under 160 characters for SEO.' and return all the outputs together."},{"title":"Extract structured data from documents","prompt":"Process this stack of 30 invoice PDFs using a batch prompt with the system instruction 'Extract vendor name, invoice number, and total amount from each document.' Give me all 30 results in one call."}],"resultDescription":"Returns a JSON object with a 'success' boolean indicating whether the batch completed, along with the LLM-generated responses for each item submitted in the batch.","failureModes":["Missing required 'items' array returns 400 validation error","Missing required 'system_prompt' returns 400 validation error","Empty items array may return success:false or empty results","Payment failure via x402 protocol returns 402 Payment Required","Oversized batch may timeout or return partial results","Malformed item objects in the array may cause processing errors"],"whenToPreferThis":"Choose this endpoint when you need to run the same LLM system prompt across multiple inputs in a single API call, reducing round-trip overhead. Particularly useful for agents automating content transformation, classification, or rewriting pipelines across many data points. Prefer over single-call LLM endpoints when you have 2+ items to process with a shared instruction context and want to minimize API calls and total cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T12:56:07.503Z","isFirstParty":false}