{"uid":"cap_dstADMToch1QptKmrMQH4","slug":"watchuneed-llm-pipeline-ac0cbf12","name":"WatchuNeed LLM Pipeline","description":"320+ pay-per-call API endpoints across accommodation, LLM, code execution, crypto, medical, finance, and more. One API, one payment. Powered by x402 protocol.","url":"https://whatchuneed.vercel.app/api/llm/pipeline","method":"POST","headers":{},"bodySchema":{"type":"object","required":["steps"],"properties":{"input":{"type":"string"},"steps":{"type":"array"}}},"responseSchema":{"type":"object","properties":{"result":{"type":"object"},"total_steps":{"type":"integer"},"steps_completed":{"type":"integer"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.15","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":"$0.15/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.15","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.15","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_3iHcQt7YFJ9R_i02t4f8v","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.15","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Executes a multi-step LLM processing pipeline, chaining sequential AI operations on an input and returning combined results","exampleAgentPrompt":"Run my text 'Summarize and then translate the following article: [article text]' through a two-step LLM pipeline — first summarize it, then translate the summary to Spanish — and give me the final result.","exampleUseCases":[{"title":"Multi-stage document analysis","prompt":"Take this legal contract text and run it through a pipeline: first extract all key clauses, then classify their risk level, then produce a plain-English summary of the riskiest parts."},{"title":"Chained content transformation","prompt":"I need to process this blog post through three steps: first improve the grammar, then rewrite it in a formal tone, then generate five SEO-optimized title suggestions based on the revised content."},{"title":"Sequential data enrichment workflow","prompt":"Run this customer feedback through my pipeline steps: first detect the sentiment, then extract the main complaint topics, then draft a personalized response addressing each topic."}],"resultDescription":"Returns a JSON object containing the final pipeline result, the total number of steps defined, and the number of steps successfully completed, allowing the agent to verify full execution and retrieve the chained output.","failureModes":["Steps array is empty or malformed — pipeline cannot execute","One intermediate step fails, causing partial completion (steps_completed < total_steps)","Input text exceeds token limits for underlying LLM steps","Payment of $0.15 USDC not processed — returns HTTP 402","Invalid step definitions or unsupported step types cause execution errors","Network timeout on long multi-step pipelines"],"whenToPreferThis":"Choose this endpoint when you need to chain multiple LLM operations sequentially on a single input, rather than calling separate endpoints individually. It is ideal for multi-stage text transformation, analysis, or generation workflows where each step builds on the previous output. Prefer it over single-call LLM endpoints when orchestration and combined results across steps are needed in one pay-per-call transaction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T07:12:14.031Z","isFirstParty":false}