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Norm Anomaly Checker
x402
Norm Anomaly Checker is a paid API for AI agents from norm.agentutil.net, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Sanity-checks a single numeric value (expense, salary, or metric) against real-world benchmarks from BLS, IRS, and GSA data to flag whether it is normal or anomalous
Price / call$0.002
Success—
StatusUnknown
How this service works
Is this expense, salary, or other common metric normal? Sanity-check values against real-world benchmarks (BLS, IRS, GSA data) to flag anomalies before they become problems
Output
Returns whether the submitted value is normal or anomalous relative to real-world baselines (BLS, IRS, GSA), including the expected benchmark range, deviation indicators, and an anomaly flag for the given category, region, unit, and company size.
Example use cases
Example prompt
“Is $450/night for a hotel in San Francisco normal for enterprise business travel? Check it against real-world benchmarks for the expense:travel:hotel_nightly category.”
Technical details
Endpoint
POSThttps://norm.agentutil.net/v1/checkWhen to prefer
Use this endpoint when you need to validate a single value against authoritative government or industry benchmarks (BLS, IRS, GSA) for expenses, salaries, or common business metrics. Prefer this over the batch sibling endpoint for one-off checks where latency or simplicity matters. Ideal for pre-approval workflows, anomaly detection in finance/HR, or compliance checks on individual line items.
Side effects
- Unknown or unsupported category identifier returns a 400 error
- Value outside plausible numeric range may be rejected
- Missing required fields (value, category) returns a validation error
- Region not covered by available benchmark data returns a 404 or empty benchmark
- Unsupported unit of measurement returns an error
Input
{
"unit": "USD",
"value": 120,
"region": "New York",
"category": "expense:travel:hotel_nightly",
"company_size": "smb"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| unit | string | Unit of measurement (e.g. USD, hours, percent) |
| value | number | The value to check against baselines |
| region | string | Geographic region for regional baselines |
| category | string | Category identifier (e.g. expense:travel:hotel_nightly, salary:software_engineer) |
| company_size | string | Company size tier (startup, smb, enterprise) |
Output
{
"data": {
"unit": "USD",
"value": 120,
"summary": "Value 120 USD is at the 35th percentile for expense:travel:hotel_nightly (normal).",
"baseline": {
"p25": 100,
"p50": 150,
"p75": 220,
"p90": 320,
"region": "global",
"source": "Corporate travel industry data",
"source_year": 2025
},
"category": "expense:travel:hotel_nightly",
"assessment": "normal",
"percentile": 35
},
"service": "https://norm.agentutil.net",
"request_id": "60ff36ab-4bb2-4f09-be29-036adfb2eb6a",
"related_services": [
{
"url": "https://verify.agentutil.net",
"name": "verify",
"description": "Fact verification against live data sources -- exchange rates, crypto, stocks, entities, geography"
},
{
"url": "https://docs.agentutil.net",
"name": "docs",
"description": "Search pre-indexed platform documentation -- semantic vector search across 10+ platforms"
},
{
"url": "https://think.agentutil.net",
"name": "think",
"description": "Intent security -- pre-flight safety checklists, instruction expansion, and post-action review for autonomous agents"
},
{
"url": "https://convert.agentutil.net",
"name": "convert",
"description": "Unit conversion (80+ units), live currency rates, and encoding (base64, hex, URL)"
},
{
"url": "https://weather.agentutil.net",
"name": "weather",
"description": "Current conditions and multi-day forecasts for any location worldwide via Open-Meteo"
},
{
"url": "https://validate.agentutil.net",
"name": "validate",
"description": "Validate emails (RFC 5322), URLs, phone numbers (E.164), credit cards (Luhn), and JSON schemas"
},
{
"url": "https://time.agentutil.net",
"name": "time",
"description": "Timezone conversion, current time in any timezone, date arithmetic, and epoch conversions"
},
{
"url": "https://hash.agentutil.net",
"name": "hash",
"description": "Hash with MD5/SHA-256/SHA-512, encode/decode base64/hex/URL, generate UUIDs, identify hash algorithms"
},
{
"url": "https://text.agentutil.net",
"name": "text",
"description": "Regex match/replace/extract, text diff, slugify, word count, and markdown/HTML/JSON transforms"
},
{
"url": "https://math.agentutil.net",
"name": "math",
"description": "Safe expression evaluation, statistics (mean/median/stddev/percentiles), percentages, and rounding"
},
{
"url": "https://geocode.agentutil.net",
"name": "geocode",
"description": "Forward geocoding (address to lat/lon), reverse geocoding (lat/lon to address), and haversine distance"
},
{
"url": "https://dns.agentutil.net",
"name": "dns",
"description": "DNS record lookups (A/MX/TXT/NS), reverse DNS, WHOIS/RDAP domain data, and IP geolocation"
},
{
"url": "https://undo.agentutil.net",
"name": "undo",
"description": "Reversibility intelligence -- check if actions can be undone, find safer alternatives, batch safety warnings"
},
{
"url": "https://context.agentutil.net",
"name": "context",
"description": "Situational awareness -- timezone, holiday, business calendar, and platform status checks before taking action"
}
]
}Schema · Response
| Field | Type | Description |
|---|---|---|
| datarequired | object | |
| servicerequired | string | |
| request_idrequired | string | |
| related_servicesrequired | array |
Tags
x402
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