# Knowledge Topic Label and Prediction Audit

> Knowledge Topic Label and Prediction Audit 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).

Audits classifier labels and predictions for knowledge-topic text records (setup, usage, troubleshooting, reference) using local naive-Bayes evaluation tools.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-knowledge-topic-label-audit?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-label-and-prediction-audit-90e254cb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kSQi5OxSNmizQsG0EBfBX

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-label-and-prediction-audit-90e254cb -d '<json body>'
```

Example prompt: Audit up to 200 of my labelled knowledge-topic text records — each has an ID, the document text, the actual class (setup, usage, troubleshooting, or reference), the predicted class, and four class probabilities — and give me a full prediction accuracy report with naive-Bayes baseline comparison.

## When to prefer this

Choose this endpoint when you need a lightweight, low-cost ($0.01) audit of a knowledge-topic text classifier across the four categories (setup, usage, troubleshooting, reference) without requiring a hosted model or foundation-model training infrastructure. Ideal for validating small to mid-sized labelled datasets (up to 200 records) using naive-Bayes baselines and local evaluation tools. Prefer this over hosted ML evaluation services when you need a quick, cost-effective sanity check on classifier quality for documentation or knowledge management systems.

## Known failure modes

- More than 200 records submitted — input exceeds maximum batch size
- Missing required fields (id, text, actual, predicted, probabilities) in one or more records
- Probabilities array does not contain exactly 4 values or values outside [0,1] range
- Invalid class label not in enum (setup, usage, troubleshooting, reference)
- Payment not completed or insufficient USDC balance for x402 transaction
- Empty records array submitted

## How this service works

Knowledge topic - Label and prediction audit: Label and prediction audit 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 label and prediction audit deliverable.

## Output

A bounded label and prediction audit deliverable covering up to 200 text records. Includes classification accuracy metrics, per-class performance breakdown, confusion analysis between setup/usage/troubleshooting/reference categories, naive-Bayes baseline comparison, and identification of misclassified records — produced using local dataset evaluation tools.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual",
     "predicted",
     "probabilities"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "actual": {
      "enum": [
       "setup",
       "usage",
       "troubleshooting",
       "reference"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "setup",
       "usage",
       "troubleshooting",
       "reference"
      ],
      "type": "string"
     },
     "probabilities": {
      "type": "array",
      "items": {
       "type": "number",
       "default": 0,
       "maximum": 1,
       "minimum": 0
      },
      "default": [],
      "maxItems": 4,
      "minItems": 4
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "setup sample document number 0 for this supplied dataset.",
     "actual": "setup",
     "predicted": "setup",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-1",
     "text": "setup sample document number 1 for this supplied dataset.",
     "actual": "setup",
     "predicted": "setup",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-2",
     "text": "setup sample document number 2 for this supplied dataset.",
     "actual": "setup",
     "predicted": "setup",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-0",
     "text": "usage sample document number 0 for this supplied dataset.",
     "actual": "usage",
     "predicted": "usage",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-1",
     "text": "usage sample document number 1 for this supplied dataset.",
     "actual": "usage",
     "predicted": "usage",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-2",
     "tex
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/knowledge-topic-label-and-prediction-audit-90e254cb/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)