Audit a CSV or JSON-array dataset (up to 5 MB, 50,000 rows, 200 columns and 2,000,000 cell
Audit a CSV or JSON-array dataset (up to 5 MB, 50,000 rows, 200 columns and 2,000,000 cells — rows x columns, the binding limit on wide data) and return a structured data-quality report as JSON: exact duplicate row count and up to 20 duplicate row indexes, per-column missing-value counts and percentages, inferred column types with a mixed-type flag, class-imbalance ratio for low-cardinality categorical columns, IQR-based outlier counts for numeric columns, PII-pattern hit counts (email/phone-like/SSN-like/credit-card-like) per column, and one overall quality_score (0-100, documented heuristic). Row content is never echoed back — only counts, percentages and indexes. Your data is held only in a temporary file for the duration of the request, deleted immediately after, and never logged or retained. PII-pattern hits (email/phone/SSN/credit-card-like) lower the quality_score but the matched values themselves are never returned. Do not submit data you are not authorized to process; this is a diagnostic tool, not a compliance or legal service. This is a triage heuristic for ML/data pipelines, not a certified data-quality or compliance audit.
Provider
Quietforge Docs API · verified
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0x3F5115236f25618c16021E983acaAF2CAaa1A35e",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "30000",
"amountUsd": 0.03,
"maxTimeoutSeconds": 300
}
]Output schema
{
"type": "object",
"properties": {
"row_count": {
"type": "integer"
},
"col_count": {
"type": "integer"
},
"columns": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"dtype": {
"type": "string"
},
"missing_count": {
"type": "integer"
},
"missing_pct": {
"type": "number"
},
"mixed_type": {
"type": "boolean"
},
"outlier_count": {
"type": "integer"
},
"imbalance_ratio": {
"type": "number"
}
},
"required": [
"name",
"dtype",
"missing_count",
"missing_pct",
"mixed_type"
]
}
},
"duplicate_row_count": {
"type": "integer"
},
"duplicate_row_indexes": {
"type": "array",
"items": {
"type": "integer"
}
},
"pii_flags": {
"type": "array",
"items": {
"type": "object",
"properties": {
"column": {
"type": "string"
},
"pattern": {
"type": "string"
},
"match_count": {
"type": "integer"
}
}
}
},
"quality_score": {
"type": "integer"
},
"issues": {
"type": "array",
"items": {
"type": "string"
}
},
"elapsed_ms": {
"type": "integer"
}
},
"required": [
"row_count",
"col_count",
"columns",
"duplicate_row_count",
"quality_score"
]
}Example shape (generated from the schema above — not a captured live response)
{
"row_count": 0,
"col_count": 0,
"columns": [
{
"name": "string",
"dtype": "string",
"missing_count": 0,
"missing_pct": 0,
"mixed_type": true,
"outlier_count": 0,
"imbalance_ratio": 0
}
],
"duplicate_row_count": 0,
"duplicate_row_indexes": [
0
],
"pii_flags": [
{
"column": "string",
"pattern": "string",
"match_count": 0
}
],
"quality_score": 0,
"issues": [
"string"
],
"elapsed_ms": 0
}Use it
curl
curl "https://qf-api.quietforge-studio.workers.dev/v1/dataset-audit" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://qf-api.quietforge-studio.workers.dev/v1/dataset-audit");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://qf-api.quietforge-studio.workers.dev/v1/dataset-audit")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/16001.json, and this resource appears in /discovery/resources and /discovery/search.