# Task Type Classifier — Macro, Micro & Weighted Scores

> Task Type Classifier — Macro, Micro & Weighted Scores is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Computes macro, micro, and weighted precision/recall/F1 aggregate scores for a task-type text classifier using up to 200 labelled records with actual and predicted labels.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-aggregate-scores?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/task-type-classifier-macro-micro-weighted-scores-4e0977a2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EFUbMQMgj4OjvSUHaBubV

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-classifier-macro-micro-weighted-scores-4e0977a2 -d '<json body>'
```

Example prompt: Evaluate my task-type classifier — here are 150 labelled records with actual labels (research, writing, analysis, implementation) and my model's predicted labels; give me the macro, micro, and weighted F1 scores.

## When to prefer this

Choose this endpoint when you need fast, low-cost aggregate classifier evaluation (macro, micro, weighted F1) for a four-class task-type text classifier (research, writing, analysis, implementation) without needing per-class confusion matrices or foundation-model inference. Ideal for iterative benchmarking of small local models on datasets up to 200 records.

## Known failure modes

- More than 200 records supplied — batch will be rejected or truncated
- Missing required fields (id, text, actual, predicted) cause validation errors
- Invalid enum values for actual or predicted labels return schema errors
- Empty records array returns no meaningful scores
- Imbalanced classes may cause micro/macro divergence that looks surprising but is correct

## How this service works

Task type - Macro micro and weighted scores: Macro micro and weighted scores 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 macro micro and weighted scores deliverable.

## Output

Returns aggregate classification evaluation metrics — macro, micro, and weighted precision, recall, and F1 scores — computed over up to 200 supplied labelled text records with actual and predicted task-type labels (research, writing, analysis, implementation).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual",
     "predicted"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "actual": {
      "enum": [
       "research",
       "writing",
       "analysis",
       "implementation"
      ],
      "type": "string"
     },
     "predicted": {
      "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",
     "predicted": "research"
    },
    {
     "id": "example-0-1",
     "text": "research sample document number 1 for this supplied dataset.",
     "actual": "research",
     "predicted": "research"
    },
    {
     "id": "example-0-2",
     "text": "research sample document number 2 for this supplied dataset.",
     "actual": "research",
     "predicted": "research"
    },
    {
     "id": "example-1-0",
     "text": "writing sample document number 0 for this supplied dataset.",
     "actual": "writing",
     "predicted": "writing"
    },
    {
     "id": "example-1-1",
     "text": "writing sample document number 1 for this supplied dataset.",
     "actual": "writing",
     "predicted": "writing"
    },
    {
     "id": "example-1-2",
     "text": "writing sample document number 2 for this supplied dataset.",
     "actual": "writing",
     "predicted": "writing"
    },
    {
     "id": "example-2-0",
     "text": "analysis sample document number 0 for this supplied dataset.",
     "actual": "analysis",
     "predicted": "analysis"
    },
    {
     "id": "example-2-1",
     "text": "analysis sample document number 1 for this supplied dataset.",
     "actual": "analysis",
     "predicted": "analysis"
    },
    {
     "id": "example-2-2",
     "text": "analysis sample document number 2 for this supplied dataset.",
     "actual": "analysis",
     "predicted": "analysis"
    },
    {
     "id": "example-3-0",
     "text": "implementation sample document number 0 for this supplied dataset.",
     "actual": "implementation",
     "predicted": "implementat
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/task-type-classifier-macro-micro-weighted-scores-4e0977a2/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)