{"id":"a2168a4b-c226-4a39-895f-42197bfbc4f2","shortId":"LtYxjv","kind":"x402","title":"Sanity-check expenses, salaries, and metrics against real-world benchmarks (BLS, IRS, GSA) via statistical anomaly detection.","tagline":"Sanity-check expenses, salaries, and metrics against real-world benchmarks (BLS, IRS, GSA) via statistical anomaly detection.","description":"AgentUtil Norm is a lightweight API that lets AI agents and applications validate whether a given numeric value — an expense, salary, metric, or other figure — is within normal range compared to published industry benchmarks. You POST a category (e.g. `expense:travel:hotel_nightly`), a numeric value, and optional context like region or company size. The service returns a percentile ranking against reference data sourced from BLS, GSA, and IRS datasets, along with an assessment and baseline distribution (p25, p50, p75, p90).\n\nThree endpoints are available: `/v1/check` for single-value lookups at $0.002 per request, `/v1/batch` for checking up to 100 items at $0.001 per item, and `/v1/categories` (free) to browse the full taxonomy of supported baseline categories. The service advertises sub-50ms response times for pure data lookups. A free tier of 10 queries per day per IP is available with no signup required; paid access uses the x402 protocol settling in USDC on Base.\n\nThe API ships with a full OpenAPI 3.1 spec and agent discovery metadata (agent-service.json, agent.json). Note that during probing the endpoint returned HTTP 400 rather than the expected 402 payment challenge when called without a body, which may indicate the endpoint validates the request body before issuing a payment challenge, or the free tier absorbed the request. The service is otherwise responsive (root returns 200).","tags":[],"capabilities":["anomaly-detection","percentile-ranking","expense-validation","salary-benchmarking","statistical-lookup","batch-processing","x402-payment","usdc-on-base","openapi-spec","agent-discovery"],"categories":["data","finance"],"synonyms":["baseline check","anomaly detection API","expense sanity check","salary benchmark","norm check","statistical outlier detection","BLS benchmark lookup","GSA rate check","value validation"],"warnings":["Probe did not capture a 402 x402 payment challenge — endpoint returned 400 on POST without a body, so live x402 payment flow could not be verified","No actual API response was observed; the example response is inferred from the OpenAPI schema","Documentation pages (/docs, /api, /pricing) all return 404"],"endpointUrl":"https://norm.agentutil.net/v1/check","protocol":"x402","transport":"http","auth":{"type":"x402","details":[{"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","extra":{"name":"USD Coin","openapi":"https://norm.agentutil.net/openapi.json","version":"2","docs_url":"https://norm.agentutil.net/.well-known/agent-service.json","free_tier":"10 queries/day without payment","description":"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"},"payTo":"0x1357bef96ec515d250137d7eb712f0395eb5142d","amount":"2000","scheme":"exact","network":"eip155:8453","maxTimeoutSeconds":300}]},"qualityScore":"0.650","qualityRationale":"Full OpenAPI 3.1 schema with clear request/response definitions and pricing metadata. However, the x402 payment challenge was not captured (endpoint returned 400 instead of 402), no actual response examples were provided in the crawl, and /docs, /pricing, /api all return 404. The response example above is inferred from the schema, not 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'/v1/categories':146 '/v1/check':124 '0.001':142 '0.002':131 '10':173 '100':139 '200':260 '3.1':203 '400':219 '402':224 '50ms':162 'BLS benchmark lookup' 'GSA rate check' 'absorb':250 'access':186 'advertis':159 'agent':48,206 'agent-discovery' 'agent-service.json':209 'agent.json':210 'agentutil':39 'ai':47 'along':109 'anomali':18,37 'anomaly detection API' 'anomaly-detection' 'api':44,197 'applic':50 'assess':112 'avail':123,180 'base':195 'baselin':114,155 'baseline check' 'batch-processing' 'benchmark':12,31,72 'bls':13,32,104 'bodi':231,240 'brows':149 'call':228 'categori':76,156 'challeng':226,245 'check':3,22,136 'compani':91 'compar':68 'context':87 'data':101,167 'dataset':108 'day':176 'detect':19,38 'discoveri':207 'distribut':115 'e.g':77 'endpoint':121,216,236 'expect':223 'expens':4,23,58,78 'expense sanity check' 'expense-validation' 'figur':63 'free':147,170,248 'full':151,201 'given':54 'gsa':15,34,105 'hotel':80 'http':218 'indic':234 'industri':71 'ip':178 'ir':14,33,107 'issu':242 'item':140,144 'let':46 'lightweight':43 'like':88 'lookup':129,168 'may':233 'metadata':208 'metric':7,26,60 'night':81 'norm':40 'norm check' 'normal':66 'note':211 'numer':55,83 'openapi':202 'openapi-spec' 'option':86 'otherwis':256 'p25':116 'p50':117 'p75':118 'p90':119 'paid':185 'payment':225,244 'per':132,143,175,177 'percentil':97 'percentile-ranking' 'post':74 'probe':214 'protocol':190 'publish':70 'pure':166 'queri':174 'rang':67 'rank':98 'rather':220 'real':10,29 'real-world':9,28 'refer':100 'region':89 'request':133,239,252 'requir':184 'respons':163,257 'return':95,217,259 'root':258 'salari':5,24,59 'salary benchmark' 'salary-benchmarking' 'saniti':2,21 'sanity-check':1,20 'servic':94,158,254 'settl':191 'ship':198 'signup':183 'singl':127 'single-valu':126 'size':92 'sourc':102 'spec':204 'statist':17,36 'statistical outlier detection' 'statistical-lookup' 'sub':161 'sub-50ms':160 'support':154 'taxonomi':152 'three':120 'tier':171,249 'time':164 'travel':79 'usdc':193 'usdc-on-base' 'use':187 'valid':51,237 'valu':56,84,128 'value validation' 'via':16,35 'whether':52 'within':65 'without':229 'world':11,30 'x402':189 'x402-payment'","prices":[{"id":"1b191905-fb16-4cd0-9d72-f0decd3a85f0","listingId":"a2168a4b-c226-4a39-895f-42197bfbc4f2","amountUsd":null,"unit":"per_call","nativeCurrency":"USD COIN","nativeAmount":null,"chain":"base","payTo":"0x1357bef96ec515d250137d7eb712f0395eb5142d","paymentMethod":"x402-usd coin","isPrimary":true,"details":{"scheme":"exact","accepts_all":[{"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","extra":{"name":"USD Coin","openapi":"https://norm.agentutil.net/openapi.json","version":"2","docs_url":"https://norm.agentutil.net/.well-known/agent-service.json","free_tier":"10 queries/day without payment","description":"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"},"payTo":"0x1357bef96ec515d250137d7eb712f0395eb5142d","amount":"2000","scheme":"exact","network":"eip155:8453","maxTimeoutSeconds":300}],"asset_contract":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","max_timeout_seconds":300},"createdAt":"2026-04-21T18:32:35.117Z"}],"sources":[{"listingId":"a2168a4b-c226-4a39-895f-42197bfbc4f2","source":"x402_bazaar","sourceId":"https://norm.agentutil.net/v1/check","sourceUrl":"https://api.cdp.coinbase.com/platform/v2/x402/discovery/resources","isPrimary":true,"firstSeenAt":"2026-04-21T18:32:35.117Z","lastSeenAt":"2026-04-22T04:02:50.658Z"}],"details":{"listingId":"a2168a4b-c226-4a39-895f-42197bfbc4f2","quickStartSnippet":"curl -X POST https://norm.agentutil.net/v1/check \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"category\": \"expense:travel:hotel_nightly\",\n    \"value\": 450,\n    \"unit\": \"USD\",\n    \"region\": \"US\"\n  }'","exampleRequest":{"unit":"USD","value":450,"region":"US","category":"expense:travel:hotel_nightly"},"exampleResponse":{"unit":"USD","value":450,"summary":"$450/night is at the 85th percentile for US hotel expenses, above average but within the normal range.","baseline":{"p25":120,"p50":189,"p75":310,"p90":520,"source":"GSA per-diem rates 2024"},"category":"expense:travel:hotel_nightly","assessment":"above_average","percentile":85},"schema":null,"openapiUrl":null,"agentsTxtUrl":null,"citations":[{"claim":"Baseline reality checks for AI agents using BLS, GSA, IRS data sources","source_url":"https://norm.agentutil.net"},{"claim":"POST /v1/check costs $0.002 per request; POST /v1/batch costs $0.001 per item; GET /v1/categories is free","source_url":"https://norm.agentutil.net"},{"claim":"Free tier: 10 queries/day per IP, no signup required; paid via x402 protocol (USDC on Base)","source_url":"https://norm.agentutil.net"},{"claim":"OpenAPI 3.1 spec with full request/response schemas","source_url":"https://norm.agentutil.net"},{"claim":"Sub-50ms response times for pure data lookups","source_url":"https://norm.agentutil.net"}],"useCases":["An autonomous agent validating whether a proposed hotel expense is within normal range before approving a reimbursement","Batch-checking a list of employee salaries against industry benchmarks to flag outliers during an audit","An AI assistant verifying that a quoted contractor rate is reasonable for a given region and company size","Automated expense report review that flags line items above the 90th percentile"],"bestFor":["AI agents that need quick reality checks on numeric values before taking action","Expense management and approval workflows","Salary benchmarking and compensation analysis","Automated auditing pipelines that need statistical anomaly flags"],"notFor":["Real-time financial market data or stock prices","Custom or proprietary benchmark datasets — this uses published government data only","Free high-volume usage — the free tier is limited to 10 queries/day per IP"],"kindDetails":{},"updatedAt":"2026-04-22T01:25:13.542Z"}}