# Feedback Theme Low-Confidence Review Queue

> Feedback Theme Low-Confidence Review Queue is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).

Identifies low-confidence predictions in a naive-Bayes feedback theme classifier (quality/price/delivery/support) and returns a bounded review queue of up to 200 labelled records for human inspection.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-feedback-theme-review-queue?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/feedback-theme-low-confidence-review-queue-59a52fed
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fjwSYZ8vcfoUiEj0kcDoZ

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 feedback-theme-low-confidence-review-queue-59a52fed -d '<json body>'
```

Example prompt: I have 50 labelled customer feedback records with their naive-Bayes predicted themes (quality, price, delivery, or support) and class probabilities — can you run them through the low-confidence review queue to flag the ones my model is most uncertain about so I can review them manually?

## When to prefer this

Choose this endpoint when you have a local naive-Bayes feedback theme classifier producing four-class (quality, price, delivery, support) predictions with probability scores, and you need to programmatically extract the most uncertain or borderline predictions for human review. It is ideal for small datasets (up to 200 records) where you want a lightweight, hosted review-queue step without spinning up a full MLOps pipeline or foundation model. Prefer it over manual filtering when you want a consistent, bounded deliverable at low cost ($0.01 USDC per call).

## Known failure modes

- More than 200 records supplied — input array exceeds maximum limit
- Missing required fields (id, text, actual, predicted, probabilities) on any record
- Probabilities array does not have exactly 4 elements summing to approximately 1
- Invalid enum value for actual or predicted (must be quality, price, delivery, or support)
- Payment not completed — x402 payment required before response is returned
- Empty records array supplied — no records to evaluate

## How this service works

Feedback theme - Low-confidence review queue: Low-confidence review queue for Feedback theme. 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 low-confidence review queue deliverable.

## Output

A bounded deliverable containing up to 200 records identified as low-confidence predictions by the naive-Bayes feedback theme classifier, indicating which records the model was most uncertain about across the four classes (quality, price, delivery, support), suitable for routing to a human review queue.

## 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": [
       "quality",
       "price",
       "delivery",
       "support"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "quality",
       "price",
       "delivery",
       "support"
      ],
      "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": "quality sample document number 0 for this supplied dataset.",
     "actual": "quality",
     "predicted": "quality",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-1",
     "text": "quality sample document number 1 for this supplied dataset.",
     "actual": "quality",
     "predicted": "quality",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-2",
     "text": "quality sample document number 2 for this supplied dataset.",
     "actual": "quality",
     "predicted": "quality",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-0",
     "text": "price sample document number 0 for this supplied dataset.",
     "actual": "price",
     "predicted": "price",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-1",
     "text": "price sample document number 1 for this supplied dataset.",
     "actual": "price",
     "predicted": "price",
     "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/feedback-theme-low-confidence-review-queue-59a52fed/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)