{"uid":"cap_N-54u2bh6LvuHddVLSl-d","slug":"bizintel-salary-benchmark-4b39c423","name":"BizIntel Salary Benchmark","description":"Resolves median salary ranges for job titles based on geographic regions.","url":"https://bizintel-api.hahavoid0.workers.dev/talent/salary-benchmark","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"type":"object","required":["title","location"],"properties":{"title":{"type":"string","description":"Job title (e.g. Data Scientist)"},"location":{"type":"string","description":"City and state/country"}}},"type":{"type":"string","const":"http"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"result":{"title":"Software Engineer","location":"San Francisco, CA","median_base":145000},"warnings":[],"supported":true,"confidence":"high","data_as_of":"2026-06","disclaimer":"Informational support only. Not legal, tax, medical, veterinary, or financial advice. Verify with the cited official source or a qualified professional before acting."}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_GpH1833wno-Zn6g9Bv7FJ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns median base salary data for a given job title and location, with confidence rating and data freshness info.","exampleAgentPrompt":"What's the median base salary for a Data Scientist in Austin, Texas right now?","exampleUseCases":[{"title":"Offer letter compensation check","prompt":"We're about to send an offer to a backend engineer in Seattle — what's the median base salary for that role in Seattle so we can make sure our number is competitive?"},{"title":"Job seeker salary negotiation","prompt":"I'm interviewing for a Product Manager role in Chicago — can you tell me what the typical median base pay is for that position there so I know what to ask for?"},{"title":"Budget planning for new hire","prompt":"I need to budget for a UX Designer hire in London — what's the current median base salary benchmark for that job title and location?"}],"resultDescription":"A JSON object containing the normalized job title, location, median base salary (numeric), a confidence level (e.g. 'high'), the data currency date (e.g. '2026-06'), a supported flag indicating whether data is available, any warnings, and a disclaimer about the informational nature of the data.","failureModes":["Unsupported or very niche job title returns supported:false with low confidence","Unrecognized or misspelled location may return no data or low-confidence result","Missing required fields (title or location) returns a validation error","Highly localized or rural locations may lack sufficient data","Data may lag current market conditions as indicated by data_as_of field"],"whenToPreferThis":"Choose this endpoint when you need a quick, pay-per-call salary benchmark for a specific job title and geography without subscribing to a full compensation platform. Ideal for AI agents performing one-off compensation research, offer validation, or budget estimation for individual roles. Better than scraping job boards when you need a structured, machine-readable median figure with a confidence rating.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T18:40:15.057Z","isFirstParty":false}