{"uid":"cap_-vJNZmx7fUotwGPFZqPby","slug":"ai-synthetic-training-examples-generator-3637bb77","name":"AI Synthetic Training Examples Generator","description":"AI Synthetic Training Examples: Generate three short prompt/completion drafts from a task description and supplied reference. Local small-model output, explicitly unverified and requiring review. Local processing. Limits and retention: /ai-services.","url":"https://market.datapackvibe.com/x402/ai-synthetic-examples?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"task":{"type":"string","default":"Draft customer questions and short answers about the refund policy.","maxLength":300,"minLength":1},"reference":{"type":"string","default":"Northwind support opens Monday to Friday at 09:00 and closes at 17:00. Customers can request a refund within thirty days.","maxLength":1000,"minLength":1}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.04","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":"$0.04/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.04","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.04","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_MpMT1uFmo0qSorJoaerhy","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.04","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Generates three short prompt/completion draft pairs from a task description and reference text using a local small language model, intended for training data bootstrapping.","exampleAgentPrompt":"Can you generate three synthetic prompt/completion training examples for a customer refund Q&A task? The reference material is: 'Northwind support opens Monday to Friday at 09:00 and 17:00. Customers can request a refund within thirty days.'","exampleUseCases":[{"title":"Fine-tuning data for support bot","prompt":"I need to bootstrap training data for a customer support chatbot — generate three prompt/completion pairs for answering questions about our return policy. Reference text: 'Items can be returned within 14 days of purchase. Refunds are processed within 5 business days to the original payment method.'"},{"title":"FAQ drafts from onboarding docs","prompt":"Draft three short question-and-answer training examples for an employee onboarding assistant. The task is answering HR policy questions, and the reference is: 'New employees receive 15 days of PTO annually. Benefits enrollment must be completed within 30 days of start date.'"},{"title":"Training samples for product knowledge base","prompt":"I want to create synthetic training examples for a product Q&A model — the task is answering questions about product specifications, and the reference is: 'The UltraX Pro battery lasts up to 48 hours on a single charge and supports fast charging via USB-C.'"}],"resultDescription":"Returns three short prompt/completion draft pairs generated by a local small language model based on the supplied task description and reference text. Output is explicitly unverified and requires human review before use in training pipelines. Results reflect local model inference and may vary in quality.","failureModes":["Task or reference text exceeds character limits (task >300 chars, reference >1000 chars)","Empty or missing required fields returns validation error","Low-quality or incoherent output if reference text is ambiguous or poorly structured","Local model may produce hallucinated or inconsistent completions requiring review","Payment failure via x402 protocol prevents response delivery"],"whenToPreferThis":"Choose this endpoint when you need a quick, low-cost way to bootstrap a small set of synthetic training examples from a known reference text without deploying your own model. It is best suited for early-stage dataset creation, rapid prototyping of fine-tuning pipelines, or generating draft QA pairs for human review. Prefer alternatives when you need verified, high-quality training data at scale, or when output accuracy is critical without manual review.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T12:51:31.195Z","isFirstParty":false,"canonicalSlug":"ai-synthetic-training-examples-generator-3637bb77"}