Overview
Conform messy or inconsistent JSON to a target schema using Claude Haiku — renames keys, coerces types (string→number, "true"→boolean, etc.), and fills missing fields with null, returning JSON that matches the exact shape the caller specified so agents can normalize data from varied sources into one consistent structure.
Protocol
x402 (POST)
Price
$0.05
Payment Asset
USDC
Payment Network
base
Category
ai/text
Provider
NetIntel
Source
bazaar
Indexed
2026-06-21 06:10:45
Health
Status
healthy
Latency (p50)
298ms
Uptime (30d)
100.0%
Reliability Score
95/100
Last Checked
2026-10-31 07:02:30
Last Healthy
2026-10-31 07:02:30
Consecutive Failures
0
x402 Payment Validation
Payment Requirements
Valid
Asset Verified
Known USDC
Facilitator
—
Input Schema
{
"body": {
"data": {
"active": "yes",
"age": "42",
"fullName": "Jane Doe",
"signup": "March 1 2024",
"tags": "vip,beta"
},
"schema": {
"age": "number",
"full_name": "string",
"is_active": "boolean",
"signup_date": "date",
"tags": "string[]"
}
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Output Schema
{
"example": {
"cached": false,
"fields_in_schema": 5,
"fields_nulled": 0,
"fields_populated": 5,
"findings": [],
"grade": "A",
"normalized": {
"age": 42,
"full_name": "Jane Doe",
"is_active": true,
"signup_date": "2024-03-01",
"tags": [
"vip",
"beta"
]
},
"schema_match": true,
"score": 100
},
"type": "json"
}