# Cancellation Reason Classifier — Per-Label Precision and Recall

> Cancellation Reason Classifier — Per-Label Precision and Recall 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 per-label precision and recall metrics for a cancellation-reason text classifier across four categories: price, usage, quality, and other.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-cancellation-reason-per-label?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/cancellation-reason-classifier-per-label-precision-and-recall-c52a3731
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DAqusIux6o0Z2v5dZD-MB

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 cancellation-reason-classifier-per-label-precision-and-recall-c52a3731 -d '<json body>'
```

Example prompt: I have 50 labelled cancellation records with actual and predicted labels across price, usage, quality, and other — can you compute the per-label precision and recall so I can see which category my classifier struggles with most?

## When to prefer this

Choose this endpoint when you need per-label (class-level) precision and recall metrics for a cancellation-reason classifier specifically covering the price/usage/quality/other taxonomy, using your own labelled evaluation set of up to 200 records, without needing a hosted model or foundation-model training pipeline.

## Known failure modes

- Fewer than 2 records supplied — minimum input not met
- More than 200 records submitted — exceeds maxItems limit
- Invalid label value outside enum (price, usage, quality, other) — schema validation error
- Missing required fields (id, text, actual, predicted) on any record — request rejected
- Empty or blank text fields may reduce metric reliability without causing an error

## How this service works

Cancellation reason - Per-label precision and recall: Per-label precision and recall for Cancellation reason. 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 per-label precision and recall deliverable.

## Output

Returns precision and recall scores broken down per label (price, usage, quality, other) for the supplied set of up to 200 labelled text records, showing how well predictions match actuals for each individual cancellation-reason category.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual",
     "predicted"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "actual": {
      "enum": [
       "price",
       "usage",
       "quality",
       "other"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "price",
       "usage",
       "quality",
       "other"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "price sample document number 0 for this supplied dataset.",
     "actual": "price",
     "predicted": "price"
    },
    {
     "id": "example-0-1",
     "text": "price sample document number 1 for this supplied dataset.",
     "actual": "price",
     "predicted": "price"
    },
    {
     "id": "example-0-2",
     "text": "price sample document number 2 for this supplied dataset.",
     "actual": "price",
     "predicted": "price"
    },
    {
     "id": "example-1-0",
     "text": "usage sample document number 0 for this supplied dataset.",
     "actual": "usage",
     "predicted": "usage"
    },
    {
     "id": "example-1-1",
     "text": "usage sample document number 1 for this supplied dataset.",
     "actual": "usage",
     "predicted": "usage"
    },
    {
     "id": "example-1-2",
     "text": "usage sample document number 2 for this supplied dataset.",
     "actual": "usage",
     "predicted": "usage"
    },
    {
     "id": "example-2-0",
     "text": "quality sample document number 0 for this supplied dataset.",
     "actual": "quality",
     "predicted": "quality"
    },
    {
     "id": "example-2-1",
     "text": "quality sample document number 1 for this supplied dataset.",
     "actual": "quality",
     "predicted": "quality"
    },
    {
     "id": "example-2-2",
     "text": "quality sample document number 2 for this supplied dataset.",
     "actual": "quality",
     "predicted": "quality"
    },
    {
     "id": "example-3-0",
     "text": "other sample document number 0 for this supplied dataset.",
     "actual": "other",
     "predicted": "other"
    },
    {
     "id": "example-3-1",
     "text": "other sample document number 1 for this supplied data
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cancellation-reason-classifier-per-label-precision-and-recall-c52a3731/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)