# Support Intent Classifier — Prediction Error Records

> Support Intent Classifier — Prediction Error Records is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Accepts up to 200 labelled support-intent text records with actual/predicted class pairs and probabilities, and returns prediction error analysis for a naive-Bayes support-intent classifier across billing, technical, account, and other categories.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-support-intent-errors?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/support-intent-classifier-prediction-error-records-75141770
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wGpRe7utPyRwZCXy7CDSr

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 support-intent-classifier-prediction-error-records-75141770 -d '<json body>'
```

Example prompt: I have 150 labelled support ticket records with actual intents (billing, technical, account, other), my model's predicted intents, and the 4-class probability vectors — can you run prediction error analysis on them and tell me where the classifier went wrong?

## When to prefer this

Choose this endpoint when you have a labelled dataset (up to 200 records) for a support intent classifier with four categories (billing, technical, account, other) and need to extract prediction error records for local evaluation. It is purpose-built for naive-Bayes baseline evaluation of support intent classification, not for retraining or hosted model inference. Prefer it over generic ML evaluation tools when you specifically need structured error records tied to support ticket intent categories at very low cost ($0.01 per call).

## Known failure modes

- More than 200 records submitted — input array exceeds maximum batch size
- Missing required fields (id, text, actual, predicted, probabilities) on any record — validation error
- Probabilities array does not contain exactly 4 values or values outside [0,1] range — schema rejection
- Invalid enum value for actual or predicted class — rejected with schema error
- Empty records array — no error records to compute
- Payment of 0.01 USDC not received — x402 payment required error

## How this service works

Support intent - Prediction error records: Prediction error records for Support intent. 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 prediction error records deliverable.

## Output

A bounded deliverable containing up to 200 prediction error records for the support intent classifier, identifying which records were misclassified, the actual vs predicted class labels (billing, technical, account, other), probability vectors, and associated error metadata for local evaluation.

## 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": [
       "billing",
       "technical",
       "account",
       "other"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "billing",
       "technical",
       "account",
       "other"
      ],
      "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": "billing sample document number 0 for this supplied dataset.",
     "actual": "billing",
     "predicted": "billing",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-1",
     "text": "billing sample document number 1 for this supplied dataset.",
     "actual": "billing",
     "predicted": "billing",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-2",
     "text": "billing sample document number 2 for this supplied dataset.",
     "actual": "billing",
     "predicted": "billing",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-0",
     "text": "technical sample document number 0 for this supplied dataset.",
     "actual": "technical",
     "predicted": "technical",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-1",
     "text": "technical sample document number 1 for this supplied dataset.",
     "actual": "technical",
     "predicted": "technical",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/support-intent-classifier-prediction-error-records-75141770/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)