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norm.agentutil.net Batch Anomaly Detection
x402
norm.agentutil.net Batch Anomaly Detection is a paid API for AI agents from norm.agentutil.net, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15, last successful call 2026-05-06).
Checks up to 100 expenses, salaries, or metrics against real-world benchmarks in a single batch request to flag anomalies
Price / call$0.001
Success100%
StatusUnknown
How this service works
Batch anomaly detection -- check up to 100 expenses, salaries, or metrics against real-world benchmarks in one request
Output
Returns anomaly detection results for each submitted item, indicating whether each value is normal or an outlier relative to real-world benchmarks, likely including a normality score or flag and benchmark reference values for each category-region-company_size combination.
Example use cases
Example prompt
“Can you sanity-check these 5 expenses for me — $4,200 for software licenses, $850 for team lunch, $12,000 for a laptop, $300 for office supplies, and $6,500 for a team offsite — all in USD for a mid-sized tech company in the US, and tell me which ones look abnormal compared to real-world benchmarks?”
Technical details
Endpoint
POSThttps://norm.agentutil.net/v1/batchWhen to prefer
Use this endpoint when you need to validate multiple financial or HR metrics at once against real-world benchmarks — ideal for expense auditing, salary reviews, or budget sanity checks where you have a list of values to assess. Prefer this batch endpoint over the single-item sibling when processing more than one value to save on latency and cost. Best when you have structured categorical data (expense type, salary band, metric category) with known units and optionally regional or company-size context.
Side effects
- Exceeding 100 items in a single request returns a validation error
- Missing required fields 'category' or 'value' for any item causes request failure
- Unknown or unsupported category strings may return no benchmark match
- Payment failure via x402 protocol returns 402 Payment Required
- Malformed JSON body returns 400 Bad Request
- Region or company_size values outside supported enums may degrade benchmark accuracy
Input
{
"items": [
{
"unit": "USD",
"value": 4200,
"region": "US",
"category": "software_licenses",
"company_size": "mid-sized"
},
{
"unit": "USD",
"value": 850,
"region": "US",
"category": "team_meals",
"company_size": "mid-sized"
},
{
"unit": "USD",
"value": 12000,
"region": "US",
"category": "equipment",
"company_size": "mid-sized"
},
{
"unit": "USD",
"value": 300,
"region": "US",
"category": "office_supplies",
"company_size": "mid-sized"
},
{
"unit": "USD",
"value": 6500,
"region": "US",
"category": "team_offsite",
"company_size": "mid-sized"
}
]
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| items | array |
Output
{
"data": {
"results": [
{
"unit": "USD",
"value": 4200,
"summary": "No baseline data available for category 'software_licenses'.",
"baseline": {
"p25": null,
"p50": null,
"p75": null,
"p90": null,
"region": "US",
"source": "none",
"source_year": null
},
"category": "software_licenses",
"assessment": "no_baseline",
"percentile": -1
},
{
"unit": "USD",
"value": 850,
"summary": "No baseline data available for category 'team_meals'.",
"baseline": {
"p25": null,
"p50": null,
"p75": null,
"p90": null,
"region": "US",
"source": "none",
"source_year": null
},
"category": "team_meals",
"assessment": "no_baseline",
"percentile": -1
},
{
"unit": "USD",
"value": 12000,
"summary": "No baseline data available for category 'equipment'.",
"baseline": {
"p25": null,
"p50": null,
"p75": null,
"p90": null,
"region": "US",
"source": "none",
"source_year": null
},
"category": "equipment",
"assessment": "no_baseline",
"percentile": -1
},
{
"unit": "USD",
"value": 300,
"summary": "No baseline data available for category 'office_supplies'.",
"baseline": {
"p25": null,
"p50": null,
"p75": null,
"p90": null,
"region": "US",
"source": "none",
"source_year": null
},
"category": "office_supplies",
"assessment": "no_baseline",
"percentile": -1
},
{
"unit": "USD",
"value": 6500,
"summary": "No baseline data available for category 'team_offsite'.",
"baseline": {
"p25": null,
"p50": null,
"p75": null,
"p90": null,
"region": "US",
"source": "none",
"source_year": null
},
"category": "team_offsite",
"assessment": "no_baseline",
"percentile": -1
}
],
"summary": {
"total": 5,
"normal": 5,
"flagged": 0
}
},
"service": "https://norm.agentutil.net",
"request_id": "7767b05a-1a07-4a2c-b7a0-03d2014c2941",
"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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