# Review Aspect Confidence Calibration Bins

> Review Aspect Confidence Calibration Bins 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).

Computes confidence calibration bins for a review aspect classifier, evaluating how well predicted probabilities match actual outcomes across performance, appearance, value, and other categories.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-calibration?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/review-aspect-confidence-calibration-bins-804c8b70
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MChfvnnrxUbUaRYlQj7xp

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 review-aspect-confidence-calibration-bins-804c8b70 -d '<json body>'
```

Example prompt: Can you compute confidence calibration bins for my review aspect classifier? I have 50 labelled records with actual and predicted labels across performance, appearance, value, and other categories, plus the 4-class probability scores for each — I want to see how well my model's confidence aligns with its real accuracy.

## When to prefer this

Choose this endpoint when you need to evaluate the confidence calibration of a review aspect classifier specifically categorizing text into performance, appearance, value, or other aspects. It is best suited for small-scale evaluation (up to 200 records) using local naive-Bayes style classifiers without requiring hosted model infrastructure. Prefer this over generic calibration tools when your use case is specifically product/service review aspect classification and you want a bounded, low-cost ($0.01 USDC) calibration assessment.

## Known failure modes

- Records array empty or missing — returns error requiring at least some labelled records
- Probability arrays not summing to 1 or containing values outside [0,1] — validation error
- More than 200 records supplied — rejected due to bounded input limit
- Probabilities array not exactly 4 elements — schema validation failure
- Actual or predicted labels not in allowed enum values (performance, appearance, value, other) — validation error
- Missing required fields (id, text, actual, predicted, probabilities) on any record — rejection

## How this service works

Review aspect - Confidence calibration bins: Confidence calibration bins for Review aspect. 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 confidence calibration bins deliverable.

## Output

A set of confidence calibration bins showing how predicted probability ranges correspond to actual observed accuracy for the review aspect classifier (performance, appearance, value, other). Each bin groups records by predicted confidence level and reports the fraction of correct predictions within that bin, revealing whether the model is overconfident, underconfident, or well-calibrated.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/review-aspect-confidence-calibration-bins-804c8b70/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)