# Project Status Confidence Calibration Bins

> Project Status 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 2026-10-19).

Computes confidence calibration bins for a project-status classifier, showing how well predicted probabilities align with actual outcomes across planned/active/blocked/complete labels.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-project-status-calibration?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/project-status-confidence-calibration-bins-df159d9c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4pO7YIrVUfYlm52zaP0Sf

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 project-status-confidence-calibration-bins-df159d9c -d '<json body>'
```

Example prompt: Can you compute confidence calibration bins for my project status classifier? I have up to 200 labelled records, each with the text, the actual label (planned, active, blocked, or complete), the predicted label, and four class probabilities that sum to 1 — I want to see how well the predicted probabilities are calibrated against real outcomes.

## When to prefer this

Choose this endpoint when you need calibration bin analysis specifically for a four-class project status classifier (planned/active/blocked/complete) with up to 200 labelled records. It is purpose-built for evaluating probability calibration in this domain without requiring a hosted model, making it ideal for offline evaluation workflows and audits of small-to-medium classifiers.

## Known failure modes

- More than 200 records supplied — input is capped at 200
- Probability arrays not summing to 1 or missing required 4 elements — validation error
- Invalid or missing actual/predicted label enum values — schema rejection
- Empty records array — no calibration bins can be computed
- Malformed record IDs or text fields exceeding length limits

## How this service works

Project status - Confidence calibration bins: Confidence calibration bins for Project status. 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, for each probability range, how the model's predicted confidence compares to actual accuracy across the four project status classes (planned, active, blocked, complete). Useful for identifying over- or under-confidence patterns in the classifier.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/project-status-confidence-calibration-bins-df159d9c/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)