# Knowledge Topic Cross-Validation - Grouped Three-Fold Baseline Evaluation > Knowledge Topic Cross-Validation - Grouped Three-Fold Baseline Evaluation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16). Runs a grouped three-fold cross-validation using a naive-Bayes classifier on up to 200 labelled knowledge-topic text records (setup, usage, troubleshooting, reference) and returns baseline accuracy metrics. ## Facts - Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-knowledge-topic-cross-validation?utm_source=zero.xyz - Price: $0.01/call - Payment: x402 - Status: unknown - Last checked: 2026-10-16 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/knowledge-topic-cross-validation-grouped-three-fold-baseline-evaluation-a70b856e - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QktRU0NG6nk71o8bV481V Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability knowledge-topic-cross-validation-grouped-three-fold-baseline-evaluation-a70b856e -d '' ``` Example prompt: Run a grouped three-fold naive-Bayes baseline evaluation on my 50 labelled knowledge articles — each has an ID, text, and one of these labels: setup, usage, troubleshooting, or reference — and tell me what accuracy score the baseline model achieves. ## When to prefer this Choose this endpoint when you need a quick, cheap ($0.01) baseline evaluation of a knowledge-topic text classification task using a naive-Bayes model and three-fold cross-validation, without requiring a hosted model, API key, or foundation-model fine-tuning. It is ideal for validating label quality, estimating class separability, or benchmarking prior to investing in a more complex ML pipeline. Prefer it over hosted ML evaluation services when data privacy is a concern (local evaluation), when cost is a constraint, or when the dataset is small (up to 200 records) and you only need a simple baseline. ## Known failure modes - Fewer than 2 records supplied — minimum input not met - Records missing required fields (id, text, actual) — schema validation error - More than 200 records submitted — exceeds maxItems limit - Invalid label value in 'actual' field — must be one of: setup, usage, troubleshooting, reference - Text too long — individual text fields exceeding 1000 characters may be rejected - Insufficient class representation for three-fold grouping — too few examples per class to form valid folds - Payment not processed — x402 payment of 0.01 USDC required per call ## How this service works Knowledge topic - Grouped three-fold baseline evaluation: Grouped three-fold baseline evaluation for Knowledge 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 grouped three-fold baseline evaluation deliverable. ## Output Returns grouped three-fold cross-validation results from a local naive-Bayes classifier trained on the supplied labelled records. Output includes per-fold and aggregate accuracy or classification metrics across the four knowledge-topic categories (setup, usage, troubleshooting, reference), giving a baseline benchmark without any hosted model or foundation-model training. ## Request schema (JSON Schema) ```json { "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": [ "setup", "usage", "troubleshooting", "reference" ], "type": "string" } }, "additionalProperties": false }, "default": [ { "id": "example-0-0", "text": "setup sample document number 0 for this supplied dataset.", "actual": "setup" }, { "id": "example-0-1", "text": "setup sample document number 1 for this supplied dataset.", "actual": "setup" }, { "id": "example-0-2", "text": "setup sample document number 2 for this supplied dataset.", "actual": "setup" }, { "id": "example-1-0", "text": "usage sample document number 0 for this supplied dataset.", "actual": "usage" }, { "id": "example-1-1", "text": "usage sample document number 1 for this supplied dataset.", "actual": "usage" }, { "id": "example-1-2", "text": "usage sample document number 2 for this supplied dataset.", "actual": "usage" }, { "id": "example-2-0", "text": "troubleshooting sample document number 0 for this supplied dataset.", "actual": "troubleshooting" }, { "id": "example-2-1", "text": "troubleshooting sample document number 1 for this supplied dataset.", "actual": "troubleshooting" }, { "id": "example-2-2", "text": "troubleshooting sample document number 2 for this supplied dataset.", "actual": "troubleshooting" }, { "id": "example-3-0", "text": "reference sample document number 0 for this supplied dataset.", "actual": "reference" }, { "id": "example-3-1", "text": "reference sample document number 1 for this supplied dataset.", "actual": "reference" }, { "id": "example-3-2", "text": "reference sample document number 2 for this supplied dataset.", "actual": "reference" } ], "maxItems": 200, "minItems": 2 } } } ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/knowledge-topic-cross-validation-grouped-three-fold-baseline-evaluation-a70b856e/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)