# Brayo Bounty Intelligence Dataset Audit

> Brayo Bounty Intelligence Dataset Audit is a paid API for AI agents from brayo-bounty-intelligence.floot.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).

Analyzes a submitted dataset of rows for bounty competition quality and viability using a JSON-quality methodology, returning field structure, row/column counts, and duplicate detection.

## Facts

- Endpoint: POST https://brayo-bounty-intelligence.floot.app/_api/v1/dataset-audit?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/brayo-bounty-intelligence-dataset-audit-9a9806db
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_u9GCM1E6_tSPVvfcG_PcC

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 brayo-bounty-intelligence-dataset-audit-9a9806db -d '<json body>'
```

Example prompt: Can you run a Brayo Bounty Intelligence audit on my dataset — here are the rows as JSON objects — and tell me how many unique vs duplicate rows there are, what fields were detected, and whether the data looks viable for a bounty submission?

## When to prefer this

Choose this endpoint when you need a fast, machine-readable quality audit of a JSON dataset specifically in the context of bounty competition viability — particularly when you need duplicate detection, field enumeration, and a structured quality score in a single call. Prefer this over generic data profiling tools when working within the Brayo bounty ecosystem.

## Known failure modes

- Empty rows array (minItems:1 violated) returns validation error
- Rows array exceeding 1000 items (maxItems:1000 violated) returns error
- Malformed JSON objects in rows array may cause parsing failures
- Non-object items in the rows array may produce unexpected field detection results
- Network timeout if dataset processing takes too long

## How this service works

Machine-readable bounty competition and viability analysis.

## Output

Returns a JSON object containing: a list of detected fields, total row count, column count, number of duplicate rows, and the methodology label used (e.g. 'top-level-json-quality-v1') — giving a machine-readable quality and structure assessment of the submitted dataset.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object"
   },
   "maxItems": 1000,
   "minItems": 1
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "fields": [],
  "rowCount": 2,
  "columnCount": 2,
  "methodology": "top-level-json-quality-v1",
  "duplicateRows": 0
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/brayo-bounty-intelligence-dataset-audit-9a9806db/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from brayo-bounty-intelligence.floot.app](https://www.zero.xyz/host/brayo-bounty-intelligence.floot.app/llms.txt)