Intelligence API & MCP.

AI compensation. With proof. Six engines, cite-ready data, Bloomberg-grade lineage on every response.

3445 roles · 81 cities · 20 API endpoints · 6 MCP

AI compensation. With proof. Six engines for the AI labor market, delivered as a JSON API + MCP. Compensation, skills, companies, hiring velocity, funding stage, skill half-life. 15M+ data points, structured total comp, company leveling frameworks, remote differentials, annual history, projections through 2030. Every response includes BLS SOC citations and a Bloomberg-grade `data_point_id` resolvable via `/lineage`. Build tier starts at $99/mo.

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 (the Demo tab, GET /api/v1/intelligence/salaries/demo), or subscribe to the Build tier for full access.

Live demo

Find roles and cities by keyword. Public, no API key needed.

q

GEThttps://www.orbytjobs.ai/api/v1/intelligence/salaries/search?q=machine+learning+engineer

Response

Click Run → to fetch live data. Try the no-auth demo endpoint (GET /api/v1/intelligence/salaries/demo, the Demo tab above), or subscribe to the Build tier ($99/mo) for full API access.

Authentication.

All tiers require a Bearer token.
Subscribe to Build ($99/mo) or higher to generate your API key.

01

Start with the Build tier

60 requests per minute for $99/mo. Subscribe and generate an API key in the dashboard. Try the no-auth demo endpoint first: GET /api/v1/intelligence/salaries/demo.

02

Scale to Pro when you need more

Upgrade to Pro at $299/mo to unlock 300 req/min, full annual history, MCP, lineage, and the Skill Premiums + Half-Life engines.

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

Build$99/mo · $990/yr60 req/minBearer token1-year previewAI Role Taxonomy engine, current data, projections, calculate, search

Pro$299/mo · $2,990/yr300 req/minBearer tokenFull annual historySkill Premiums, Half-Life, Comp by Stage, Hiring Velocity, MCP, lineage, priority support

Scale$1,999/mo · $19,990/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% uptime target, 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

Companies

GET/api/v1/intelligence/salaries/companies54 companies with leveling frameworks, comp per level, equity vesting, interview difficulty

Tools

POST/api/v1/intelligence/salaries/compare-offersCompare 2-5 job offers side-by-side with after-tax, COL-adjusted ranking, and insights

POST/api/v1/intelligence/salaries/negotiateAI-powered negotiation script: counter-offer, talking points, email + phone scripts. Pro+ tier

Submissions

POST/api/v1/intelligence/salaries/submitSubmit anonymous salary data. 3 submissions per day per user. Feeds the community dataset

GET/api/v1/intelligence/salaries/crowdAggregated community-reported salary data. Data flywheel: requires 1 own submission first

Provenance

GET/api/v1/intelligence/lineage/[data_point_id]Bloomberg-grade source trail for any data point. Sources, fetch timestamps, weights, reconciliation rule. Pro+ tier with intelligence:lineage scope

MCP.

One server. Six locked tools. Any AI client.

Same API key. Pro plan and above. Decision-Ready Responses per RFC-004.

Full MCP integration guide

MCP

POST/api/v1/intelligence/mcpJSON-RPC 2.0 endpoint. 6 tools: list_capabilities, analyze_compensation, analyze_skills, analyze_market, discover_roles_and_cities, find_adjacent_opportunities. Decision-Ready responses with citation.request_id traceability.

GET/api/mcp/intelligence/salaryLegacy REST MCP: salary estimate with full comp breakdown

GET/api/mcp/intelligence/rolesLegacy REST MCP: search or list available roles

GET/api/mcp/intelligence/compareLegacy REST MCP: side-by-side role or city comparison

GET/api/mcp/intelligence/rangeLegacy REST MCP: percentile distribution (P10-P90)

GET/api/mcp/intelligence/trendsLegacy REST MCP: annual 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). The envelope names the offending param and how to fix it.

{
  "error": {
    "type": "invalid_request_error",
    "code": "parameter_missing",
    "param": "role",
    "message": "The `role` query parameter is required.",
    "doc_url": "https://www.orbytjobs.ai/intelligence/api/errors/parameter_missing",
    "request_id": "req_11b2385b7fc30468",
    "retry_strategy": "retry_with_clarification",
    "retry_hint": { "clarification_needed": "Pass ?role=<slug>" },
    "follow_up_suggestions": [
      "Use /api/v1/intelligence/salaries/roles to list available role slugs",
      "Use /api/v1/intelligence/salaries/search?q=<term> to discover canonical slugs"
    ]
  }
}

401Missing or invalid Bearer token. Every endpoint except the public catalog (/search, /roles, /cities) and /demo requires Authorization: Bearer intelligence_...

{
  "error": {
    "type": "authentication_error",
    "code": "authentication_required",
    "message": "All Intelligence API requests require a Bearer token. Pass `Authorization: Bearer intelligence_…`.",
    "doc_url": "https://www.orbytjobs.ai/intelligence/api/errors/authentication_required",
    "request_id": "req_2f4c9a01d3b75e88",
    "retry_strategy": "retry_with_clarification",
    "retry_hint": { "clarification_needed": "Add Authorization: Bearer intelligence_… header" }
  }
}

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": {
    "type": "not_found_error",
    "code": "role_not_found",
    "param": "role",
    "message": "Role 'fake-role' was not found in the canonical taxonomy.",
    "doc_url": "https://www.orbytjobs.ai/intelligence/api/errors/role_not_found",
    "request_id": "req_8a31c0de52f6b974",
    "retry_strategy": "use_alternative_tool",
    "retry_hint": { "alternative_tool": "/api/v1/intelligence/salaries/search" },
    "follow_up_suggestions": [
      "Use /api/v1/intelligence/salaries/search?q=fake-role to find similar role slugs"
    ]
  }
}

429Rate limit exceeded. Build 60/min, Pro 300/min, Scale 1,500/min, Enterprise 5,000/min. Check X-RateLimit-Remaining header.

{
  "error": {
    "type": "rate_limit_error",
    "code": "rate_limit_exceeded",
    "message": "Tier rate limit exceeded. Wait for the cool-down window or upgrade your subscription tier.",
    "doc_url": "https://www.orbytjobs.ai/intelligence/api/errors/rate_limit_exceeded",
    "request_id": "req_5e7d20c4a9f1b386",
    "retry_strategy": "retry_after_seconds",
    "retry_hint": { "after_seconds": 60 },
    "follow_up_suggestions": [
      "Upgrade to Pro for 300 req/min",
      "Upgrade to Scale for 1500 req/min"
    ]
  }
}

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

{
  "data": {
    "role": { "id": "role:ai-engineer", "slug": "ai-engineer", "title": "AI Engineer" },
    "estimate": { "median": 232000, "currency": "USD", "period": "annual" }
  },
  "attribution": {
    "source": "Orbyt Intelligence",
    "url": "https://www.orbytjobs.ai/intelligence",
    "methodology": "https://www.orbytjobs.ai/orbyt-intelligence/methodology",
    "methodology_version": "2026.2",
    "updated": "2026-06-12",
    "version": "v1",
    "as_of": "2026-06-12"
  },
  "request": { "id": "req_aaaabbbbccccdddd", "endpoint": "/api/v1/intelligence/salaries/calculate", "duration_ms": 14, "tier": "build", "scopes": ["intelligence:read"] }
}

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" \
  -H "Authorization: Bearer $ORBYT_API_KEY"

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" \
  -H "Authorization: Bearer $ORBYT_API_KEY"

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 (search is public)
curl "https://www.orbytjobs.ai/api/v1/intelligence/salaries/search?q=machine+learning+engineer"

# Step 2: Use the resolved slug (e.g. "machine-learning-engineer") in the authenticated calculate call
curl "https://www.orbytjobs.ai/api/v1/intelligence/salaries/calculate?role=machine-learning-engineer&city=san-francisco&exp=senior" \
  -H "Authorization: Bearer $ORBYT_API_KEY"

Machine-readable.

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

Download OpenAPI Download MCP manifest

Deeper docs.

The reference above is the API surface. The deep-dives below cover every engine, the MCP server, the CLI, and the webhook event catalog.

AI Engines

All six engines, one hub. Role taxonomy, skill premiums, half-life, comp by stage, signals, velocity.

MCP Integration

Six locked tools, Decision-Ready Responses, three transports (HTTP / stdio / WebSocket).

CLI

@orbyt/cli: terminal client, MCP stdio, webhook tunneling, CI/CD recipes.

Webhooks

Event types, signature verification, retry policy, local-dev tunneling.

Methodology

Sources, formulas, confidence intervals, reconciliation rules.

Pricing

Build, Pro, Scale, Enterprise tiers. Restricted keys with per-engine scopes.

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", "..." ] }

{ "error": { "type": "invalid_request_error", "code": "parameter_missing", "param": "role", "message": "The `role` query parameter is required.", "doc_url": "https://www.orbytjobs.ai/intelligence/api/errors/parameter_missing", "request_id": "req_11b2385b7fc30468", "retry_strategy": "retry_with_clarification", "retry_hint": { "clarification_needed": "Pass ?role=<slug>" }, "follow_up_suggestions": [ "Use /api/v1/intelligence/salaries/roles to list available role slugs", "Use /api/v1/intelligence/salaries/search?q=<term> to discover canonical slugs" ] } }

{ "error": { "type": "authentication_error", "code": "authentication_required", "message": "All Intelligence API requests require a Bearer token. Pass `Authorization: Bearer intelligence_…`.", "doc_url": "https://www.orbytjobs.ai/intelligence/api/errors/authentication_required", "request_id": "req_2f4c9a01d3b75e88", "retry_strategy": "retry_with_clarification", "retry_hint": { "clarification_needed": "Add Authorization: Bearer intelligence_… header" } } }

{ "error": { "type": "not_found_error", "code": "role_not_found", "param": "role", "message": "Role 'fake-role' was not found in the canonical taxonomy.", "doc_url": "https://www.orbytjobs.ai/intelligence/api/errors/role_not_found", "request_id": "req_8a31c0de52f6b974", "retry_strategy": "use_alternative_tool", "retry_hint": { "alternative_tool": "/api/v1/intelligence/salaries/search" }, "follow_up_suggestions": [ "Use /api/v1/intelligence/salaries/search?q=fake-role to find similar role slugs" ] } }

{ "error": { "type": "rate_limit_error", "code": "rate_limit_exceeded", "message": "Tier rate limit exceeded. Wait for the cool-down window or upgrade your subscription tier.", "doc_url": "https://www.orbytjobs.ai/intelligence/api/errors/rate_limit_exceeded", "request_id": "req_5e7d20c4a9f1b386", "retry_strategy": "retry_after_seconds", "retry_hint": { "after_seconds": 60 }, "follow_up_suggestions": [ "Upgrade to Pro for 300 req/min", "Upgrade to Scale for 1500 req/min" ] } }

{ "data": { "role": { "id": "role:ai-engineer", "slug": "ai-engineer", "title": "AI Engineer" }, "estimate": { "median": 232000, "currency": "USD", "period": "annual" } }, "attribution": { "source": "Orbyt Intelligence", "url": "https://www.orbytjobs.ai/intelligence", "methodology": "https://www.orbytjobs.ai/orbyt-intelligence/methodology", "methodology_version": "2026.2", "updated": "2026-06-12", "version": "v1", "as_of": "2026-06-12" }, "request": { "id": "req_aaaabbbbccccdddd", "endpoint": "/api/v1/intelligence/salaries/calculate", "duration_ms": 14, "tier": "build", "scopes": ["intelligence:read"] } }

# 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" \ -H "Authorization: Bearer $ORBYT_API_KEY"

# 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" \ -H "Authorization: Bearer $ORBYT_API_KEY"

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

Intelligence API & MCP.

Cite it.

AI Research

HR Tech

Analysts

Try it now.

Authentication.

Start with the Build tier

Scale to Pro when you need more

Add the token to your requests

Ship it

Rate limits.

Versioning.

Intelligence API.

Salary Data

Analysis

Companies

Directory

Tools

Submissions

Provenance

MCP.

MCP

Error reference

Every response is cite-ready.

Quickstarts.

Offer fairness badge

Annual trend chart

Fuzzy role resolver

Machine-readable.

Deeper docs.

Intelligence API & MCP.

Cite it.

AI Research

HR Tech

Analysts

Try it now.

Authentication.

Start with the Build tier

Scale to Pro when you need more

Add the token to your requests

Ship it

Rate limits.

Versioning.

Intelligence API.

Salary Data

Analysis

Companies

Directory

Tools

Submissions

Provenance

MCP.

MCP

Error reference

Every response is cite-ready.

Quickstarts.

Offer fairness badge

Annual trend chart

Fuzzy role resolver

Machine-readable.

Deeper docs.