{"uid":"cap_epgyPswGBYbyApEBb_Rvx","slug":"subscription-request-low-confidence-review-queue-5f7e0e4e","name":"Subscription Request Low-Confidence Review Queue","description":"Subscription request - Low-confidence review queue: Low-confidence review queue for Subscription request. 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 low-confidence review queue deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-subscription-request-review-queue?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual","predicted","probabilities"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"actual":{"enum":["upgrade","downgrade","cancel","renew"],"type":"string"},"predicted":{"enum":["upgrade","downgrade","cancel","renew"],"type":"string"},"probabilities":{"type":"array","items":{"type":"number","default":0,"maximum":1,"minimum":0},"default":[],"maxItems":4,"minItems":4}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"upgrade sample document number 0 for this supplied dataset.","actual":"upgrade","predicted":"upgrade","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-0-1","text":"upgrade sample document number 1 for this supplied dataset.","actual":"upgrade","predicted":"upgrade","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-0-2","text":"upgrade sample document number 2 for this supplied dataset.","actual":"upgrade","predicted":"upgrade","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-1-0","text":"downgrade sample document number 0 for this supplied dataset.","actual":"downgrade","predicted":"downgrade","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-1-1","text":"downgrade sample document number 1 for this supplied dataset.","actual":"downgrade","predicted":"downgrade","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-1-2","text":"downgrade sample document number 2 for this supplied dataset.","actual":"downgrade","predicted":"downgrade","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-2-0","text":"cancel sample document number 0 for this supplied dataset.","actual":"cancel","predicted":"cancel","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-2-1","text":"cancel sample document number 1 for this supplied dataset.","actual":"cancel","predicted":"cancel","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-2-2","text":"cancel sample document number 2 for this supplied dataset.","actual":"cancel","predicted":"cancel","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-3-0","text":"renew sample document number 0 for this supplied dataset.","actual":"renew","predicted":"renew","probabilities":[0.06666666666666667,0.06666666666666667,0.06666666666666667,0.8]},{"id":"example-3-1","text":"renew sample document number 1 for this supplied dataset.","actual":"renew","predicted":"renew","probabilities":[0.06666666666666667,0.06666666666666667,0.06666666666666667,0.8]},{"id":"example-3-2","text":"renew sample document number 2 for this supplied dataset.","actual":"renew","predicted":"renew","probabilities":[0.06666666666666667,0.06666666666666667,0.06666666666666667,0.8]}],"maxItems":200,"minItems":2},"minimum_confidence":{"type":"number","default":0.7,"maximum":1,"minimum":0}}},"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_rw2B8pBm25cw5CDyMAozA","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":"Identifies low-confidence classifier predictions on subscription request text records (upgrade/downgrade/cancel/renew) for human review, using naive-Bayes baselines.","exampleAgentPrompt":"I have up to 200 labelled subscription request records with their actual labels (upgrade, downgrade, cancel, or renew), predicted labels, and class probabilities — can you run them through the low-confidence review queue to flag which predictions the model was least sure about so I can send those to a human reviewer?","exampleUseCases":[{"title":"Flag uncertain subscription churn predictions","prompt":"I've got 150 customer message records labelled for cancel intent — some have probabilities around 0.4 across classes. Can you pull the low-confidence ones into a review queue so my team knows which cancellation predictions to double-check manually?"},{"title":"QA pass on upgrade classifier outputs","prompt":"My naive-Bayes model just ran on 80 subscription upgrade requests. Here are the records with their actual vs predicted labels and probabilities — can you generate the low-confidence review queue so I can see which upgrade predictions are too uncertain to trust?"},{"title":"Pre-launch model audit for subscription intents","prompt":"Before we go live, I want to audit our subscription intent classifier across upgrade, downgrade, cancel, and renew classes. I have 200 labelled records with probabilities — can you give me the low-confidence review queue so we can catch weak spots?"}],"resultDescription":"A bounded deliverable listing records where the classifier's predicted probabilities fall below the confidence threshold, identifying which upgrade/downgrade/cancel/renew predictions require human review, along with relevant evaluation metadata from the local naive-Bayes baseline analysis.","failureModes":["records array exceeds 200 items — request rejected","probabilities array does not contain exactly 4 values per record — validation error","probability values outside [0,1] range — schema rejection","actual or predicted labels outside allowed enum (upgrade, downgrade, cancel, renew) — validation error","empty records array returns empty review queue with no actionable output","malformed record IDs (empty string or over 80 characters) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have a local labelled dataset of subscription request text already classified by a naive-Bayes or similar lightweight model and need to surface the low-confidence predictions for human review before acting on them. It is purpose-built for subscription intent categories (upgrade, downgrade, cancel, renew) and does not require a hosted model or foundation model — ideal for small-scale, cost-sensitive ML quality assurance pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:52:32.972Z","isFirstParty":false,"canonicalSlug":"subscription-request-low-confidence-review-queue-5f7e0e4e"}