{"uid":"cap_93qj8XooRhZYSACkL0E0C","slug":"ai-pipeline-brief-generator-1659f0b9","name":"AI Pipeline Brief Generator","description":"Domain-agnostic x402 capability chassis by IntuiTek¹. 300 AI-callable data services — pay USDC on Base mainnet. No accounts or API keys required.","url":"https://the-stall.intuitek.ai/cap/ai-pipeline-brief","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"],"type":"string"},"queryParams":{"type":"object","required":["task_description"],"properties":{"schedule":{"type":"string","description":"When to run the pipeline. Accepts: named shortcuts (@hourly, @daily, @weekly, @monthly), natural language ('every 4 hours', 'daily', 'every 30 minutes'), or a raw cron expression (e.g. '0 */4 * * *'). Defaults to hourly if omitted."},"model_limit":{"type":"integer","maximum":10,"minimum":3,"description":"How many HuggingFace models to consider in the search (3–10). Default: 8."},"pipeline_task":{"type":"string","description":"Optional HuggingFace pipeline task filter to narrow model search. Common values: text-classification, text-generation, summarization, token-classification, question-answering, sentence-similarity, image-classification, zero-shot-classification."},"task_description":{"type":"string","description":"What the AI pipeline should do. Be specific (e.g. 'classify customer support tickets into 5 categories every 15 minutes' or 'generate daily summaries of earnings call transcripts'). Required."}},"additionalProperties":false}},"additionalProperties":false}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"1.75","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":"$1.75/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.75","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.75","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_2cZDU7I80Y5WqEwEl8C19","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"1.75","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Generates a concise AI pipeline brief recommending HuggingFace models and a scheduling plan for a described ML task, payable in USDC on Base via x402.","exampleAgentPrompt":"Can you generate an AI pipeline brief for classifying customer support tickets into 5 categories — look at up to 8 HuggingFace text-classification models and plan it to run every 30 minutes?","exampleUseCases":[{"title":"NLP pipeline for support ticket triage","prompt":"Put together an AI pipeline brief for triaging inbound customer support tickets into billing, technical, and general categories — consider up to 8 HuggingFace text-classification models and schedule it to run every 15 minutes."},{"title":"Daily earnings call summarization pipeline","prompt":"I need an AI pipeline brief for generating daily summaries of earnings call transcripts — use summarization models on HuggingFace, look at up to 6 options, and plan it to run daily."},{"title":"Hourly sentiment scoring for social feeds","prompt":"Can you build a pipeline brief for scoring sentiment on social media posts about my brand — check up to 10 HuggingFace models for text-classification and set the schedule to run every hour?"}],"resultDescription":"Returns a structured pipeline brief including recommended HuggingFace models matched to the task, a suggested scheduling configuration (cron or natural-language schedule), and pipeline task settings — giving an AI agent or developer a ready-to-act spec for deploying an ML workflow.","failureModes":["Missing required task_description parameter returns a 400 error","model_limit outside 3–10 range is rejected with a validation error","Unrecognized pipeline_task filter may return zero model matches","Invalid schedule expression may fail to parse or default to hourly","Payment not received or insufficient USDC triggers x402 payment-required response","Service unavailability from HuggingFace model search yields partial or empty results"],"whenToPreferThis":"Choose this endpoint when you need a quick, opinionated AI pipeline design — including model selection and scheduling — without manually searching HuggingFace or writing cron expressions. Ideal for agents bootstrapping ML workflows on behalf of a user who knows what outcome they want but not which models to use. Prefer over raw HuggingFace search when you need a ready-to-use brief rather than raw model listings, and when pay-per-call USDC pricing (no API key) is preferred.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T06:44:22.382Z","isFirstParty":false}