# Knowledge Topic Low-Confidence Review Queue

> Knowledge Topic 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 2026-10-15).

Identifies and queues low-confidence predictions from a naive-Bayes knowledge topic classifier (setup/usage/troubleshooting/reference) for human review, returning evaluation metrics and borderline cases.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-knowledge-topic-review-queue?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/knowledge-topic-low-confidence-review-queue-a3396bf6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IKq5PTXTyL_QFHo1dQZIS

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 knowledge-topic-low-confidence-review-queue-a3396bf6 -d '<json body>'
```

Example prompt: I have up to 200 labelled knowledge base documents with their predicted and actual topic labels (setup, usage, troubleshooting, or reference) plus the 4-class probability scores from my classifier — can you run them through the low-confidence review queue and tell me which records the model was most uncertain about?

## When to prefer this

Choose this endpoint when you have a local knowledge topic classifier producing 4-class probability outputs (setup/usage/troubleshooting/reference) and want to identify which labelled records fall below confidence thresholds for human review. Ideal for small-dataset evaluation (up to 200 records) without access to a hosted model or foundation-model training pipeline. Prefer this over general ML evaluation tools when the specific topic taxonomy (setup/usage/troubleshooting/reference) matches your use case and you want a structured review queue output rather than raw metrics.

## Known failure modes

- Records array exceeds 200 items — request rejected
- Missing required fields (id, text, actual, predicted, probabilities) on any record — validation error
- Probabilities array does not contain exactly 4 values or values outside [0,1] — schema validation failure
- Enum values for actual/predicted outside allowed set (setup, usage, troubleshooting, reference) — rejected
- Empty records array — no queue generated
- Network timeout or payment failure via x402 protocol

## How this service works

Knowledge topic - Low-confidence review queue: Low-confidence review queue for Knowledge topic. 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

Returns a bounded deliverable containing a low-confidence review queue: a filtered list of records where the classifier's predicted probabilities indicate uncertainty, along with evaluation metrics (accuracy, per-class performance) computed against actual labels and naive-Bayes baseline comparisons. Highlights records most in need of human review.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/knowledge-topic-low-confidence-review-queue-a3396bf6/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)