# Task Type Grouped Three-Fold Baseline Evaluation

> Task Type 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 2026-10-15).

Runs a grouped three-fold cross-validation using a naive-Bayes classifier on up to 200 labelled text records categorized by task type (research, writing, analysis, implementation).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-cross-validation?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/task-type-grouped-three-fold-baseline-evaluation-59650a42
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JgbG9HXgEXVxQlKOFnEdE

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 task-type-grouped-three-fold-baseline-evaluation-59650a42 -d '<json body>'
```

Example prompt: Run a grouped three-fold baseline evaluation on my 60 labelled task documents — they're split across research, writing, analysis, and implementation categories — and tell me how well a naive-Bayes classifier can distinguish them.

## When to prefer this

Choose this endpoint when you need a fast, low-cost ($0.01 USDC) sanity-check baseline on a small labelled text dataset for task-type classification (research, writing, analysis, implementation) before committing to heavier model training. It is ideal when you want grouped cross-validation that respects record grouping structure, and when a naive-Bayes local baseline is sufficient to assess label quality or dataset separability without calling a foundation model.

## Known failure modes

- Fewer than 2 records supplied — minimum input not met
- Records missing required fields (id, text, actual) — schema validation error
- Label values outside allowed enum (research, writing, analysis, implementation) — rejected
- More than 200 records supplied — exceeds maximum batch size
- Insufficient class representation per fold — may produce degenerate evaluation results
- Text field empty or too short to yield meaningful features — low-quality baseline output

## How this service works

Task type - Grouped three-fold baseline evaluation: Grouped three-fold baseline evaluation for Task type. 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 a grouped three-fold cross-validation report including fold-level and aggregate accuracy metrics from a naive-Bayes baseline classifier trained and evaluated on the supplied labelled text records, with no hosted model or foundation-model involvement.

## 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": [
       "research",
       "writing",
       "analysis",
       "implementation"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "research sample document number 0 for this supplied dataset.",
     "actual": "research"
    },
    {
     "id": "example-0-1",
     "text": "research sample document number 1 for this supplied dataset.",
     "actual": "research"
    },
    {
     "id": "example-0-2",
     "text": "research sample document number 2 for this supplied dataset.",
     "actual": "research"
    },
    {
     "id": "example-1-0",
     "text": "writing sample document number 0 for this supplied dataset.",
     "actual": "writing"
    },
    {
     "id": "example-1-1",
     "text": "writing sample document number 1 for this supplied dataset.",
     "actual": "writing"
    },
    {
     "id": "example-1-2",
     "text": "writing sample document number 2 for this supplied dataset.",
     "actual": "writing"
    },
    {
     "id": "example-2-0",
     "text": "analysis sample document number 0 for this supplied dataset.",
     "actual": "analysis"
    },
    {
     "id": "example-2-1",
     "text": "analysis sample document number 1 for this supplied dataset.",
     "actual": "analysis"
    },
    {
     "id": "example-2-2",
     "text": "analysis sample document number 2 for this supplied dataset.",
     "actual": "analysis"
    },
    {
     "id": "example-3-0",
     "text": "implementation sample document number 0 for this supplied dataset.",
     "actual": "implementation"
    },
    {
     "id": "example-3-1",
     "text": "implementation sample document number 1 for this supplied dataset.",
     "actual": "implementation"
    },
    {
     "id": "example-3-2",
     "text": "implementation sample document number 2 for this supplied dataset.",
     "actual": "implementation"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/task-type-grouped-three-fold-baseline-evaluation-59650a42/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)