{"uid":"cap_387_5pq4duIrE3E6k-UA1","slug":"product-category-taxonomy-prompt-template-generator-b9e0db78","name":"Product Category Taxonomy Prompt Template Generator","description":"Product category - Taxonomy prompt template: Taxonomy prompt template for Product category. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded taxonomy prompt template deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-product-category-prompt-template?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"actual":{"enum":["apparel","home","electronics","other"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"apparel sample document number 0 for this supplied dataset.","actual":"apparel"},{"id":"example-0-1","text":"apparel sample document number 1 for this supplied dataset.","actual":"apparel"},{"id":"example-0-2","text":"apparel sample document number 2 for this supplied dataset.","actual":"apparel"},{"id":"example-1-0","text":"home sample document number 0 for this supplied dataset.","actual":"home"},{"id":"example-1-1","text":"home sample document number 1 for this supplied dataset.","actual":"home"},{"id":"example-1-2","text":"home sample document number 2 for this supplied dataset.","actual":"home"},{"id":"example-2-0","text":"electronics sample document number 0 for this supplied dataset.","actual":"electronics"},{"id":"example-2-1","text":"electronics sample document number 1 for this supplied dataset.","actual":"electronics"},{"id":"example-2-2","text":"electronics sample document number 2 for this supplied dataset.","actual":"electronics"},{"id":"example-3-0","text":"other sample document number 0 for this supplied dataset.","actual":"other"},{"id":"example-3-1","text":"other sample document number 1 for this supplied dataset.","actual":"other"},{"id":"example-3-2","text":"other sample document number 2 for this supplied dataset.","actual":"other"}],"maxItems":200,"minItems":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_VbIRUIi_scldK2TVTS6xu","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Generates a taxonomy prompt template for classifying product text into categories (apparel, home, electronics, other) using up to 200 labelled sample records.","exampleAgentPrompt":"I have 12 labelled product description records — 3 each for apparel, home, electronics, and other — and I need you to generate a taxonomy prompt template I can use to classify new product text into those four categories.","exampleUseCases":[{"title":"E-commerce catalog classification prompt","prompt":"I've got 50 labelled product listings split across apparel, home, electronics, and other, and I need a prompt template that I can feed into an LLM to automatically categorize new incoming products — can you generate that taxonomy prompt template from my samples?"},{"title":"Retail ML baseline for product tagging","prompt":"We're building a product tagging pipeline and need a starting prompt template for a naive-Bayes-style classifier across four categories: apparel, home, electronics, and other. Here are 80 labelled example descriptions — please generate a taxonomy prompt template from them."},{"title":"Dataset audit and prompt scaffolding for new category model","prompt":"I have around 120 labelled product text records tagged as apparel, home, electronics, or other — can you turn these into a taxonomy prompt template I can use to evaluate classification quality before we invest in model training?"}],"resultDescription":"A bounded taxonomy prompt template deliverable built from the supplied labelled records, structured for use in product category classification tasks across the four defined classes (apparel, home, electronics, other). The template incorporates the provided few-shot examples and is suitable for use with local tools or LLM-based classification pipelines.","failureModes":["Fewer than 2 records supplied — minItems validation error","Record text exceeds 1000 characters — schema validation failure","More than 200 records supplied — maxItems exceeded","Invalid category label outside enum (apparel, home, electronics, other) — validation error","Missing required fields (id, text, actual) on any record — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need a cheap, fast taxonomy prompt template for classifying product text into the four standard categories (apparel, home, electronics, other) using your own labelled examples as few-shot context — especially when you want a ready-to-use prompt artifact rather than a trained model, and when your dataset is small (under 200 records). Prefer this over full ML training pipelines when speed, cost ($0.01 per call), and simplicity matter more than peak accuracy.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:54:18.940Z","isFirstParty":false,"canonicalSlug":"product-category-taxonomy-prompt-template-generator-b9e0db78"}