{"uid":"cap_1V2pp6jzSB9XUzPzJccJG","slug":"meeting-topic-supplied-group-evaluation-55033ac1","name":"Meeting Topic Supplied-Group Evaluation","description":"Meeting topic - Supplied-group evaluation: Supplied-group evaluation for Meeting topic. 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-meeting-topic-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":["planning","progress","decision","review"],"type":"string"},"predicted":{"enum":["planning","progress","decision","review"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"planning sample document number 0 for this supplied dataset.","group":"a","actual":"planning","predicted":"planning"},{"id":"example-0-1","text":"planning sample document number 1 for this supplied dataset.","group":"b","actual":"planning","predicted":"planning"},{"id":"example-0-2","text":"planning sample document number 2 for this supplied dataset.","group":"a","actual":"planning","predicted":"planning"},{"id":"example-1-0","text":"progress sample document number 0 for this supplied dataset.","group":"a","actual":"progress","predicted":"progress"},{"id":"example-1-1","text":"progress sample document number 1 for this supplied dataset.","group":"b","actual":"progress","predicted":"progress"},{"id":"example-1-2","text":"progress sample document number 2 for this supplied dataset.","group":"a","actual":"progress","predicted":"progress"},{"id":"example-2-0","text":"decision sample document number 0 for this supplied dataset.","group":"a","actual":"decision","predicted":"decision"},{"id":"example-2-1","text":"decision sample document number 1 for this supplied dataset.","group":"b","actual":"decision","predicted":"decision"},{"id":"example-2-2","text":"decision sample document number 2 for this supplied dataset.","group":"a","actual":"decision","predicted":"decision"},{"id":"example-3-0","text":"review sample document number 0 for this supplied dataset.","group":"a","actual":"review","predicted":"review"},{"id":"example-3-1","text":"review sample document number 1 for this supplied dataset.","group":"b","actual":"review","predicted":"review"},{"id":"example-3-2","text":"review sample document number 2 for this supplied dataset.","group":"a","actual":"review","predicted":"review"}],"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_54H_R8bI63dFU2NK5eJJL","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 supplied set of labelled meeting-topic text records (planning/progress/decision/review) broken down by group, computing classification metrics and naive-Bayes baselines per segment.","exampleAgentPrompt":"I have up to 200 labelled meeting notes with actual and predicted topic labels (planning, progress, decision, or review) split across groups A and B — can you run a group-level evaluation and tell me how accurate the classifier is for each group?","exampleUseCases":[{"title":"Team-split classifier audit","prompt":"I ran a meeting topic classifier over notes from our engineering and product teams. I have 150 records with actual labels and predicted labels — planning, progress, decision, or review — and I want to see accuracy and other metrics broken down by team. Can you evaluate the results by group for me?"},{"title":"Naive-Bayes baseline comparison","prompt":"I'm building a meeting topic model and want to compare it against a naive-Bayes baseline. I have 120 labelled records across two groups with actual and predicted categories (planning, progress, decision, review). Can you run the supplied-group evaluation so I can see how my model stacks up per segment?"},{"title":"Classifier fairness check across departments","prompt":"Before deploying our meeting summariser, I need to check whether it performs equally well across different departments. I have 180 labelled records tagged with department groups and actual vs predicted meeting topic labels. Please run the group evaluation and flag any big accuracy gaps between groups."}],"resultDescription":"Returns a bounded evaluation deliverable containing per-group classification metrics (e.g. accuracy, precision, recall) for each meeting topic class (planning, progress, decision, review), along with naive-Bayes baseline comparisons, computed locally from up to 200 supplied labelled text records.","failureModes":["More than 200 records supplied — exceeds the bounded limit, request rejected","Missing required fields (id, text, actual, predicted, group) on any record — validation error","Invalid enum value for actual or predicted (must be planning, progress, decision, review) — schema error","Empty records array — no data to evaluate, returns error","Text field exceeds 1000 characters per record — truncation or rejection"],"whenToPreferThis":"Choose this endpoint when you have a small dataset (up to 200 records) of already-labelled meeting text with both actual and predicted topic categories and you need group-stratified classification metrics plus a naive-Bayes baseline — without requiring a hosted model or foundation-model training. Prefer it over general ML evaluation tools when the classification task is specifically the four meeting topic categories (planning, progress, decision, review) and group-level breakdowns are required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:17.435Z","isFirstParty":false,"canonicalSlug":"meeting-topic-supplied-group-evaluation-55033ac1"}