{"uid":"cap_AZRX7OJlH5Skz9bL0RO2L","slug":"support-intent-fixed-holdout-learning-curve-05e2283e","name":"Support Intent Fixed-Holdout Learning Curve","description":"Support intent - Fixed-holdout learning curve: Fixed-holdout learning curve for Support intent. 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 fixed-holdout learning curve deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-support-intent-learning-curve?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":["billing","technical","account","other"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"billing sample document number 0 for this supplied dataset.","actual":"billing"},{"id":"example-0-1","text":"billing sample document number 1 for this supplied dataset.","actual":"billing"},{"id":"example-0-2","text":"billing sample document number 2 for this supplied dataset.","actual":"billing"},{"id":"example-1-0","text":"technical sample document number 0 for this supplied dataset.","actual":"technical"},{"id":"example-1-1","text":"technical sample document number 1 for this supplied dataset.","actual":"technical"},{"id":"example-1-2","text":"technical sample document number 2 for this supplied dataset.","actual":"technical"},{"id":"example-2-0","text":"account sample document number 0 for this supplied dataset.","actual":"account"},{"id":"example-2-1","text":"account sample document number 1 for this supplied dataset.","actual":"account"},{"id":"example-2-2","text":"account sample document number 2 for this supplied dataset.","actual":"account"},{"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_l1Gf2fPnICJoLvouZNH_r","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 fixed-holdout learning curve for a naive-Bayes support intent classifier (billing/technical/account/other) using up to 200 labelled text records.","exampleAgentPrompt":"Run a fixed-holdout learning curve on my 150 labelled support tickets — each has an ID, the ticket text, and a category of billing, technical, account, or other — and show me how accuracy changes as training size grows.","exampleUseCases":[{"title":"Support routing model data sizing","prompt":"I have 180 labelled customer support messages tagged as billing, technical, account, or other. Run a fixed-holdout learning curve on them so I can see whether I need more data before deploying a classifier."},{"title":"Comparing intent categories by difficulty","prompt":"Can you run a naive-Bayes learning curve on my 120 support ticket records — each labelled billing, technical, account, or other — and tell me which intent categories are hardest to learn with few examples?"},{"title":"Validating a new support dataset quality","prompt":"I just labelled 90 customer support texts across billing, technical, account, and other intents. Run a fixed-holdout learning curve to check if the labels are consistent and the dataset is learnable."}],"resultDescription":"A fixed-holdout learning curve report showing classifier accuracy (or related metrics) at successive training set sizes, computed using a local naive-Bayes baseline on the supplied labelled records, with a fixed holdout split for consistent evaluation across training increments.","failureModes":["Fewer than 2 records supplied (minItems violation)","More than 200 records supplied (maxItems violation)","Record text exceeds 1000 characters","Record ID missing or empty","Invalid 'actual' label outside enum (billing/technical/account/other)","Insufficient class diversity for holdout split","Payment of 0.01 USDC not processed via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you need a quick, cheap diagnostic on whether a small labelled support-intent dataset is learnable and how much data is needed — without deploying a hosted or foundation model. Ideal for dataset sizing experiments, label quality checks, and naive-Bayes baselines on support ticket classification with up to 200 examples.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:43:58.351Z","isFirstParty":false,"canonicalSlug":"support-intent-fixed-holdout-learning-curve-05e2283e"}