{"uid":"cap_5DudRh8lRxf6_NsstpCc0","slug":"lead-stage-supplied-group-ml-evaluation-2c231f43","name":"Lead Stage Supplied-Group ML Evaluation","description":"Lead stage - Supplied-group evaluation: Supplied-group evaluation for Lead stage. 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 supplied-group evaluation deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-group-evaluation?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual","predicted","group"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"group":{"type":"string","default":"","maxLength":80},"actual":{"enum":["enquiry","qualified","negotiation","closed"],"type":"string"},"predicted":{"enum":["enquiry","qualified","negotiation","closed"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"enquiry sample document number 0 for this supplied dataset.","group":"a","actual":"enquiry","predicted":"enquiry"},{"id":"example-0-1","text":"enquiry sample document number 1 for this supplied dataset.","group":"b","actual":"enquiry","predicted":"enquiry"},{"id":"example-0-2","text":"enquiry sample document number 2 for this supplied dataset.","group":"a","actual":"enquiry","predicted":"enquiry"},{"id":"example-1-0","text":"qualified sample document number 0 for this supplied dataset.","group":"a","actual":"qualified","predicted":"qualified"},{"id":"example-1-1","text":"qualified sample document number 1 for this supplied dataset.","group":"b","actual":"qualified","predicted":"qualified"},{"id":"example-1-2","text":"qualified sample document number 2 for this supplied dataset.","group":"a","actual":"qualified","predicted":"qualified"},{"id":"example-2-0","text":"negotiation sample document number 0 for this supplied dataset.","group":"a","actual":"negotiation","predicted":"negotiation"},{"id":"example-2-1","text":"negotiation sample document number 1 for this supplied dataset.","group":"b","actual":"negotiation","predicted":"negotiation"},{"id":"example-2-2","text":"negotiation sample document number 2 for this supplied dataset.","group":"a","actual":"negotiation","predicted":"negotiation"},{"id":"example-3-0","text":"closed sample document number 0 for this supplied dataset.","group":"a","actual":"closed","predicted":"closed"},{"id":"example-3-1","text":"closed sample document number 1 for this supplied dataset.","group":"b","actual":"closed","predicted":"closed"},{"id":"example-3-2","text":"closed sample document number 2 for this supplied dataset.","group":"a","actual":"closed","predicted":"closed"}],"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_6htE7hDJXcnqwqLq6mE00","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":"Evaluates a user-supplied set of labelled lead-stage text records by group, returning per-group classification metrics and naive-Bayes baselines for the enquiry/qualified/negotiation/closed taxonomy.","exampleAgentPrompt":"Evaluate my lead stage classifier predictions broken down by group — I have up to 200 labelled records, each with an ID, the lead text, the actual stage (enquiry, qualified, negotiation, or closed), my predicted stage, and a group label like 'region-A' or 'region-B'. Can you run the supplied-group evaluation and show me per-group accuracy and how it compares to a naive-Bayes baseline?","exampleUseCases":[{"title":"Regional bias audit for lead scoring","prompt":"I want to check whether my lead stage classifier performs equally well across different sales regions. I have 150 labelled records — each has an ID, the lead text, the actual label (enquiry, qualified, negotiation, or closed), my model's predicted label, and a group tag for the region like 'north' or 'south'. Run the group evaluation and tell me which region has the worst accuracy."},{"title":"A/B model comparison by customer segment","prompt":"We ran two versions of our lead classifier and tagged each record with which customer segment it belongs to — 'SMB' or 'Enterprise'. I have 180 records with IDs, lead text, actual stages, predicted stages, and segment labels. Can you do a supplied-group evaluation so I can see the per-segment metrics and whether there's a meaningful difference?"},{"title":"Baseline check for a new lead pipeline","prompt":"Before we go live with our new lead scoring model, I want to see how its predictions compare to a naive-Bayes baseline, broken down by product line group. I have about 120 records — each has an ID, the original lead text, the correct stage label (enquiry, qualified, negotiation, or closed), the model's predicted label, and the product line group like 'cloud' or 'on-prem'. Can you run the group evaluation report?"}],"resultDescription":"Returns per-group classification evaluation metrics for the supplied labelled records, including accuracy and other performance statistics broken down by the group identifier, along with a naive-Bayes baseline for comparison. The deliverable is a bounded evaluation report covering up to 200 records using local dataset tools — no hosted model or foundation-model training is involved.","failureModes":["Records array exceeds 200 items — request will be rejected or truncated","Missing required fields (id, text, actual, predicted, group) on any record causes validation error","Invalid enum value for actual or predicted (must be exactly enquiry, qualified, negotiation, or closed)","Empty records array returns no meaningful metrics","Text field exceeding 1000 characters per record may be truncated or rejected","Group field or ID exceeding 80 characters causes schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have a pre-labelled set of lead-stage text records with both actual and predicted class labels and you want group-stratified evaluation metrics and a naive-Bayes baseline — without needing to train or host a model. It is ideal for auditing group fairness, diagnosing per-segment model weaknesses, or benchmarking a simple classifier across the four-stage lead pipeline taxonomy (enquiry, qualified, negotiation, closed). Prefer alternatives if you need to train a model, perform inference on unlabelled data, or evaluate more than 200 records at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:41.645Z","isFirstParty":false,"canonicalSlug":"lead-stage-supplied-group-ml-evaluation-2c231f43"}