# Datum Audit — Offline CSV & JSON Quality Reports

> Datum Audit — Offline CSV & JSON Quality Reports is a paid API for AI agents from datum-audit-csv-json-20260802.estoyaburido7.chatgpt.site, paid per call via x402, $1/call, status unknown (last checked 2026-10-13).

Analyzes uploaded CSV or JSON data locally to detect missing values, duplicate rows, and incompatible data types, returning a structured quality report with a score.

## Facts

- Endpoint: POST https://datum-audit-csv-json-20260802.estoyaburido7.chatgpt.site/api/audit?utm_source=zero.xyz
- Price: $1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/datum-audit-offline-csv-json-quality-reports-0a3507aa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RhzIr6HQC86yGtuBHbFBj

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 datum-audit-offline-csv-json-quality-reports-0a3507aa -d '<json body>'
```

Example prompt: Can you audit this CSV file for missing values, duplicate rows, and type mismatches, and give me a data quality score so I know how clean it is before I use it?

## When to prefer this

Choose this endpoint when you need a fast, privacy-preserving data quality check on a CSV or JSON file without uploading data to a third-party cloud service. It is ideal for pre-processing validation gates, vendor data handoffs, or any scenario where data sensitivity prevents external uploads. Prefer it over cloud-based profiling tools when zero-upload guarantees and local execution matter.

## Known failure modes

- Malformed or unparseable file returns a parsing error
- Unsupported file format (e.g. Excel .xlsx) may return an error or empty results
- Empty file or zero-row dataset may produce a zero-quality score with no meaningful summary
- Very large files may hit size limits or time out
- Network or payment failure (x402) results in no response

## How this service works

Find missing values, duplicate rows, and incompatible types locally. Zero dependencies, zero uploads, 6 USDC.

## Output

Returns a JSON object with a summary section containing row count, column count, missing cell count, and duplicate row count, plus an overall numeric quality score (0–100) and a schema version identifier (datum-audit/1.0).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "data": {
   "description": "CSV text, JSON text, or an object/array for JSON"
  },
  "format": {
   "enum": [
    "csv",
    "json"
   ],
   "type": "string"
  },
  "delimiter": {
   "enum": [
    ",",
    ";",
    "\\t",
    "|"
   ],
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "summary": {
   "rows": 2,
   "columns": 3,
   "missingCells": 1,
   "duplicateRows": 0
  },
  "qualityScore": 72,
  "schemaVersion": "datum-audit/1.0"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/datum-audit-offline-csv-json-quality-reports-0a3507aa/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from datum-audit-csv-json-20260802.estoyaburido7.chatgpt.site](https://www.zero.xyz/host/datum-audit-csv-json-20260802.estoyaburido7.chatgpt.site/llms.txt)