# Lead Stage Label and Prediction Audit

> Lead Stage Label and Prediction Audit 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).

Audits classifier labels and predictions for lead stage classification (enquiry, qualified, negotiation, closed) using local naive-Bayes evaluation tools on up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-label-audit?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/lead-stage-label-and-prediction-audit-64733f29
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jq16dDX6mAFj1IiaA-lhC

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 lead-stage-label-and-prediction-audit-64733f29 -d '<json body>'
```

Example prompt: Can you run a label and prediction audit on my lead stage classifier results? I have 150 records each with actual and predicted labels across enquiry, qualified, negotiation, and closed stages, plus their class probabilities — I want to see how well my model is doing and get a baseline comparison.

## When to prefer this

Choose this endpoint when you need a lightweight, fast, low-cost audit of a lead stage text classifier without needing to train or call a hosted model. It is ideal for datasets up to 200 records, when you already have predicted labels and probabilities and want to evaluate quality, identify mislabeled data, or compare against a naive-Bayes baseline — all at $0.01 per call.

## Known failure modes

- More than 200 records submitted — array will be rejected or truncated
- Probabilities array does not contain exactly 4 values summing to approximately 1.0
- Invalid stage label used outside the enum (enquiry, qualified, negotiation, closed)
- Empty records array returns no meaningful audit output
- Record ID missing or exceeds 80 character limit causes validation failure
- Text field exceeds 1000 character limit per record

## How this service works

Lead stage - Label and prediction audit: Label and prediction audit for Lead stage. 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 label and prediction audit deliverable.

## Output

A bounded audit deliverable covering label and prediction quality for up to 200 lead stage records, including accuracy metrics, confusion analysis across enquiry/qualified/negotiation/closed classes, comparison against a naive-Bayes baseline, and identification of problematic predictions or low-confidence records.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/lead-stage-label-and-prediction-audit-64733f29/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)