Intelligence API & MCP.

15 million data points. 598 AI roles. Structured total comp. 54 company leveling frameworks.

3445 roles · 81 cities · 11 API endpoints · 5 MCP

The authority on AI compensation. 15 million data points, delivered as a JSON API. 598 AI roles, structured total comp, company leveling frameworks, remote differentials, annual history, projections through 2030. Every response includes BLS SOC citations. Free account required.

curl "https://www.orbytjobs.ai/api/v1/intelligence/salaries/calculate\
?role=ai-engineer&city=san-francisco&exp=senior"

Response200 OK

{
  "role": {
    "slug": "ai-engineer",
    "title": "AI Engineer"
  },
  "city": {
    "slug": "san-francisco",
    "name": "San Francisco",
    "state": "CA",
    "costOfLivingMultiplier": 1.35
  },
  "experience": {
    "level": "senior",
    "multiplier": 1.28
  },
  "estimate": {
    "low": 251000,
    "median": 298000,
    "high": 362000,
    "currency": "USD",
    "period": "annual"
  },
  "totalCompensation": {
    "base": 298000,
    "equity": 89000,
    "bonus": 35000,
    "signing": 10000,
    "total": 432000
  },
  "citation": "According to Orbyt Intelligence...",
  "assumptions": [
    "Base derived from national median adjusted by COL",
    "Experience level applies a 1.28x multiplier",
    "..."
  ]
}

Cite it.

One API. Every compensation question.

AI Research

Foundation model labs, alignment teams

Cite compensation in papers. Train on methodology-first data. Verified Dataset schema indexed by Google and Perplexity.

HR Tech

Benchmark tools, ATS platforms

Embed live salary benchmarks. Stable API contracts. Annual data refresh cadence. Citation-ready responses.

Analysts

Newsrooms, financial research

Track tech sector comp for earnings analysis and reporting. Annual history reveals hiring cycles BLS misses.

Try it now.

Live data from the real API. Try the demo endpoint, or create a free account for full access.

Live demo

Personalized estimate with citation + assumptions.

role

city

exp

GEThttps://www.orbytjobs.ai/api/v1/intelligence/salaries/calculate?role=ai-engineer&city=san-francisco&exp=senior

Response

Click Run → to fetch live data. Try the demo endpoint, or create a free account for full API access.

Authentication.

All tiers require a Bearer token.
Create a free account to get your API key.

01

Start with the free tier

30 requests per minute. Create a free account to get your API key. Try the demo endpoint without auth.

02

Scale to Pro when you need more

03

Add the token to your requests

Pass as Authorization: Bearer <token> in every request. Rate-limit headers tell you the rest.

04

Ship it

Every response is cite-ready. Attribution + methodology + assumptions baked into the JSON.

Rate limits.

All tiers use Bearer token auth.
Upgrade only when you need the headroom.

TierPriceRate limitAuthFeatures

Free$030 req/minBearer token1-year previewCurrent data, projections, calculate, search

Pro$199/mo · $1,999/yr300 req/minBearer tokenFull annual historyCitation-ready responses, priority support

Scale$999/mo · $9,999/yr1,500 req/minBearer tokenFull annual history48-hour priority preview, dedicated support

Enterprise$4,999/mo · $49,999/yr5,000 req/minBearer tokenFull annual history1-week priority preview, 99.95% SLA, custom invoicing

Every response returns X-RateLimit-Remaining and X-RateLimit-Tier headers. Use them for adaptive backoff.

Versioning.

Build on v1 without fear.

The Intelligence API uses explicit major versions in the URL path. You are reading the documentation for /api/v1/intelligence/salaries/.

Breaking changes will be released as /api/v2/ while v1 continues to receive annual data refreshes and bug fixes for at least 18 months after any v2 release.

Every change is published to the API Changelog. Subscribe once, build forever.

Intelligence API.

CORS enabled. 90-day CDN cache. Attribution in every response. See the full data catalog.

Salary Data

GET/api/v1/intelligence/salariesCurrent salary data with remote, skills, education, freelance, and industry breakdowns

GET/api/v1/intelligence/salaries/calculatePersonalized estimate with experience adjustment

GET/api/v1/intelligence/salaries/historyAnnual snapshots since Q3 2025

GET/api/v1/intelligence/salaries/projectionsYear-by-year forecasts through 2030

Analysis

GET/api/v1/intelligence/salaries/compareCompare two roles side-by-side with premium and leverage

GET/api/v1/intelligence/salaries/skillsSkills that increase pay, ranked by premium

GET/api/v1/intelligence/salaries/adjacentNearest roles by salary for career transition planning

GET/api/v1/intelligence/salaries/employer-costTotal cost to employer including taxes, benefits, and overhead

MCP.

One server. Every tool. Any AI client.

Same API key. Pro plan and above.

MCP

GET/api/mcp/intelligence/salarySalary estimate with full comp breakdown

GET/api/mcp/intelligence/rolesSearch or list available roles

GET/api/mcp/intelligence/compareSide-by-side role or city comparison

GET/api/mcp/intelligence/rangePercentile distribution (P10-P90)

GET/api/mcp/intelligence/trendsAnnual historical salary trends

Error reference

Every error returns a consistent JSON envelope with an error message.

400A required query parameter is missing or invalid (e.g., missing role, unknown exp level).

{ "error": "role parameter is required" }

404The role or city slug was not found in the Orbyt Intelligence catalog. Use /api/v1/intelligence/salaries/search to resolve natural-language references.

{ "error": "Role \"fake-role\" not found" }

429Rate limit exceeded. Free 30/min, Pro 300/min, Scale 1,500/min, Enterprise 5,000/min. Check X-RateLimit-Remaining header.

{ "error": "Rate limit exceeded. 30 requests per minute (free tier)." }

Every response is cite-ready.

Every Intelligence API response ships with a self-attributing
attribution object. The citation travels with the data.

Source
Entity name, ready to paste into paper footnotes or UI credits.
Methodology URL
Direct link to the published methodology page. Reviewers can audit.
Updated
ISO date of the quarter the data represents. Never stale without saying so.
No extra call
Attribution ships with the data, not as a separate fetch. Zero overhead.

Response.attribution

{
  "role": { "slug": "ai-engineer", "title": "AI Engineer" },
  "salary": { "median": 232000 },
  "attribution": {
    "source": "Orbyt Intelligence",
    "url": "https://www.orbytjobs.ai/intelligence",
    "methodology": "https://www.orbytjobs.ai/orbyt-intelligence/methodology",
    "updated": "2026-04-10"
  }
}

CORS

Enabled for all origins.

Call the API directly from browser code. No backend proxy required.

Caching

90-day edge cache.

Responses cached at the edge with stale-while-revalidate. Standard HTTP headers respected.

Transport

HTTPS only, HTTP/2.

TLS 1.3 everywhere. JSON responses, UTF-8, gzip and brotli compression.

Quickstarts.

Three common patterns. Copy, paste, ship.

01

Offer fairness badge

Show a fairness label next to any offer with a one-line citation.

# Get the personalized estimate, then compare against the user's offer
curl "https://www.orbytjobs.ai/api/v1/intelligence/salaries/calculate?role=ai-engineer&city=san-francisco&exp=senior"

02

Annual trend chart

Pull history into any charting library. Show the delta badge from the response.

# Fetch 4 quarters of history for a role and city
curl "https://www.orbytjobs.ai/api/v1/intelligence/salaries/history?role=ai-engineer&city=san-francisco"

03

Fuzzy role resolver

User types a natural-language role. Resolve to a valid slug, then query.

# Step 1: Resolve the natural-language query to a role slug
curl "https://www.orbytjobs.ai/api/v1/intelligence/salaries/search?q=machine+learning"

# Step 2: Use the resolved slug (e.g. "ml-engineer") in the calculate call
curl "https://www.orbytjobs.ai/api/v1/intelligence/salaries/calculate?role=ml-engineer&city=san-francisco&exp=senior"

Machine-readable.

OpenAPI 3.1. MCP manifest. Drop into any LLM or agent.

Download OpenAPI Download MCP manifest

Back to the product page

Orbyt Intelligence →

{ "role": { "slug": "ai-engineer", "title": "AI Engineer" }, "city": { "slug": "san-francisco", "name": "San Francisco", "state": "CA", "costOfLivingMultiplier": 1.35 }, "experience": { "level": "senior", "multiplier": 1.28 }, "estimate": { "low": 251000, "median": 298000, "high": 362000, "currency": "USD", "period": "annual" }, "totalCompensation": { "base": 298000, "equity": 89000, "bonus": 35000, "signing": 10000, "total": 432000 }, "citation": "According to Orbyt Intelligence...", "assumptions": [ "Base derived from national median adjusted by COL", "Experience level applies a 1.28x multiplier", "..." ] }

{ "role": { "slug": "ai-engineer", "title": "AI Engineer" }, "salary": { "median": 232000 }, "attribution": { "source": "Orbyt Intelligence", "url": "https://www.orbytjobs.ai/intelligence", "methodology": "https://www.orbytjobs.ai/orbyt-intelligence/methodology", "updated": "2026-04-10" } }

# Step 1: Resolve the natural-language query to a role slug curl "https://www.orbytjobs.ai/api/v1/intelligence/salaries/search?q=machine+learning" # Step 2: Use the resolved slug (e.g. "ml-engineer") in the calculate call curl "https://www.orbytjobs.ai/api/v1/intelligence/salaries/calculate?role=ml-engineer&city=san-francisco&exp=senior"

Intelligence API & MCP.

Cite it.

AI Research

HR Tech

Analysts

Try it now.

Authentication.

Start with the free tier

Scale to Pro when you need more

Add the token to your requests

Ship it

Rate limits.

Versioning.

Intelligence API.

Salary Data

Analysis

Directory

MCP.

MCP

Error reference

Every response is cite-ready.

Quickstarts.

Offer fairness badge

Annual trend chart

Fuzzy role resolver

Machine-readable.

Intelligence API & MCP.

Cite it.

AI Research

HR Tech

Analysts

Try it now.

Authentication.

Start with the free tier

Scale to Pro when you need more

Add the token to your requests

Ship it

Rate limits.

Versioning.

Intelligence API.

Salary Data

Analysis

Directory

MCP.

MCP

Error reference

Every response is cite-ready.

Quickstarts.

Offer fairness badge

Annual trend chart

Fuzzy role resolver

Machine-readable.