# Ticket Priority Confidence Calibration Bins

> Ticket Priority 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 ticket priority classifier using up to 200 labelled text records with predicted probabilities and actual labels.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-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/ticket-priority-confidence-calibration-bins-de416b03
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AFvr7kZDUV8MsMuCdWpoK

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 ticket-priority-confidence-calibration-bins-de416b03 -d '<json body>'
```

Example prompt: Can you run a confidence calibration bins analysis on my ticket priority model? I have 150 labelled support tickets with actual priorities (low, normal, high), predicted priorities, and the 3-class probability arrays for each — I want to know how well the model's confidence scores match real outcomes.

## When to prefer this

Choose this endpoint when you need to evaluate the calibration quality of a ticket priority text classifier that outputs 3-class (low/normal/high) probabilities. It is ideal for model validation workflows, post-training audits, and diagnosing trust in predicted confidence scores. Best suited for small-to-medium evaluation sets up to 200 records using local naive-Bayes baseline comparisons without requiring hosted model infrastructure.

## Known failure modes

- Fewer than 2 records supplied — minimum input requirement not met
- Probability arrays not summing correctly or containing values outside [0,1]
- Actual or predicted labels outside allowed enum values (low, normal, high)
- More than 200 records supplied — exceeds maximum limit
- Malformed record structure missing required fields (id, text, actual, predicted, probabilities)
- Payment failure — insufficient USDC balance or x402 payment not processed

## How this service works

Ticket priority - Confidence calibration bins: Confidence calibration bins for Ticket priority. 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

Returns confidence calibration bins for the ticket priority classifier, showing how predicted probabilities align with actual outcome frequencies across bins — enabling diagnosis of overconfidence, underconfidence, and reliability of probability estimates for low, normal, and high priority classes.

## 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": [
       "low",
       "normal",
       "high"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "low",
       "normal",
       "high"
      ],
      "type": "string"
     },
     "probabilities": {
      "type": "array",
      "items": {
       "type": "number",
       "default": 0,
       "maximum": 1,
       "minimum": 0
      },
      "default": [],
      "maxItems": 3,
      "minItems": 3
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "low sample document number 0 for this supplied dataset.",
     "actual": "low",
     "predicted": "low",
     "probabilities": [
      0.8,
      0.1,
      0.1
     ]
    },
    {
     "id": "example-0-1",
     "text": "low sample document number 1 for this supplied dataset.",
     "actual": "low",
     "predicted": "low",
     "probabilities": [
      0.8,
      0.1,
      0.1
     ]
    },
    {
     "id": "example-0-2",
     "text": "low sample document number 2 for this supplied dataset.",
     "actual": "low",
     "predicted": "low",
     "probabilities": [
      0.8,
      0.1,
      0.1
     ]
    },
    {
     "id": "example-1-0",
     "text": "normal sample document number 0 for this supplied dataset.",
     "actual": "normal",
     "predicted": "normal",
     "probabilities": [
      0.1,
      0.8,
      0.1
     ]
    },
    {
     "id": "example-1-1",
     "text": "normal sample document number 1 for this supplied dataset.",
     "actual": "normal",
     "predicted": "normal",
     "probabilities": [
      0.1,
      0.8,
      0.1
     ]
    },
    {
     "id": "example-1-2",
     "text": "normal sample document number 2 for this supplied dataset.",
     "actual": "normal",
     "predicted": "normal",
     "probabilities": [
      0.1,
      0.8,
      0.1
     ]
    },
    {
     "id": "example-2-0",
     "text": "high sample document number 0 for this supplied dataset.",
     "actual": "high",
     "predicted": "high",
     "probabilities": [
    
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ticket-priority-confidence-calibration-bins-de416b03/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)