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  1. Home/
  2. Intelligence/
  3. Compare/
  4. vs Comprehensive.io

Orbyt vs Comprehensive.io.

Comprehensive is the startup dashboard. Orbyt is the full map.

Real-time compensation benchmarking for VC-backed startups

Start free.

At a glance.

Infrastructure coverage.

0
Orbyt
0
Comprehensive.io

What Comprehensive.io is.

Comprehensive.io is a compensation benchmarking platform founded in 2022 by Roger Lee, focused on VC-backed startups in major U.S. hubs. The product pulls real-time data from connected customer payroll systems and surfaces benchmarks through a polished HR-facing dashboard. For startups inside the customer network, the dataset is fresh and the UX is modern. Outside that network the coverage thins: public companies, enterprise SaaS, frontier AI labs that are not customers, non-tech industries, and regional employers see the dataset drop off a cliff. Comprehensive has paid APIs for customers but no free public tier, no MCP manifest, and no CC BY license on the data. The product is built for HR at Series A through Series C companies. Orbyt Intelligence covers 3,445 roles across 81 U.S. cities whether or not a company has ever signed a contract with us: source-driven coverage, not customer-driven coverage.

Pricing, head to head.

EntryHigher tiers
Comprehensive.ioBrowse only~$500-$2,000/mo
Orbyt Intelligence60 req/min free, 300 on Pro ($99/mo)$299/mo (Pro)

Comprehensive.io's consumer UI is free to browse without an account. Paid API and dashboard access is published for Starter tiers (roughly $500 to $2,000 per month for early-stage startups) and quote-only for Growth and Enterprise tiers. There is no self-serve developer tier and no way to evaluate the API before a contract. Orbyt Intelligence publishes its full pricing grid: Free (60 req/min, 1,000 requests a month, AI Role Taxonomy engine, no card), scaling through Pro at $99 per month (300 req/min, MCP server, /lineage provenance) and Ultra at $199 per month (1,500 req/min, company leveling catalog, annual reports). Every tier is visible at orbyt-intelligence/pricing: no sales call required. For a developer, a researcher, or a startup founder who wants to validate salary data against a use case before committing budget, Comprehensive is closed and Orbyt is open, starting free.

Orbyt wins.

A slice, or the map.

3,445 roles across 81 cities, every one of them queryable. Comprehensive shows you the VC-startup slice; Orbyt shows you the whole map.

MCP server with six locked tools for Claude Code, ChatGPT, and autonomous agents. Comprehensive has no MCP.

The free tier gets you in. No procurement, no $500-$2,000 starter contract, no Growth-tier quote dance.

A lineage API via /lineage. Every estimate carries a data_point_id; UK and Canada ids resolve to BLS OES and H-1B LCA (DOL). US figures are modeled today and the methodology page states that plainly.

3,445 roles vs Comprehensive's startup-centric subset

81 U.S. cities vs Comprehensive's major-metro focus

Orbyt Intelligence covers the market Comprehensive does not. 3,445 roles across 81 U.S. cities. AI labs, Big Tech, enterprise SaaS, public companies, non-tech industries. Public API free to start. MCP server for AI agents. CC BY 4.0 license. The word Comprehensive describes one of these two products. It is not the one with that name.

Feature by feature.

On real-time freshness inside the customer network, Comprehensive wins: payroll-feed data refreshes continuously for participating companies. On coverage breadth, Orbyt wins by a wide margin. Comprehensive's dataset is concentrated on VC-backed startups in major hubs; Orbyt covers 3,445 roles across 81 U.S. cities including FAANG, enterprise SaaS, public companies, and frontier AI labs regardless of customer status. On developer experience, it is not close: Comprehensive has no self-serve API tier, no MCP manifest, no OpenAPI spec, no MCP tool-call surface. Orbyt ships all of those starting on the free tier. On forward modeling, Orbyt projects through 2030 with a public methodology; Comprehensive reports what is current. On license, Orbyt is CC BY 4.0 (cite, redistribute, train models, embed in products); Comprehensive data is proprietary and contract-locked. On emerging-role coverage specifically, Orbyt tracks 598 specialized roles with leveling frameworks for Anthropic, OpenAI, DeepMind, Meta AI, and Cohere; Comprehensive's coverage depends on whether those labs are customers.

Who each is for.

Use Comprehensive.io if you are an HR or People Ops lead at a VC-backed startup in the Comprehensive customer network, you need real-time benchmarks against peer companies in your slice, and you value the dashboard UX. For that audience, inside that network, the product is a solid choice. Use Orbyt Intelligence if your comp data needs extend outside the VC-backed startup ecosystem, if you are a developer building a feature, if you are an AI team running agent workflows, if you are a researcher citing data in a paper, or if your coverage requirements include public companies, enterprise SaaS, or frontier AI labs that may not be Comprehensive customers. The distinction is sharp: Comprehensive is a private club, Orbyt is the public square. Both can be legitimate, depending on who the buyer is and what the use case covers.

Bottom line, in 2026.

In 2026, Comprehensive.io is an excellent product for a narrow audience and Orbyt Intelligence is the only open programmatic alternative that scales past that audience. The name Comprehensive describes Orbyt's product, not theirs. 3,445 roles. 81 cities. Public API free to start. MCP server for AI agents. Forward projections through 2030. CC BY 4.0 license. Every one of those features describes what a compensation data product should ship in 2026 if it is designed for the whole market, not just the part of the market willing to connect payroll feeds to a vendor. Comprehensive will keep owning the VC-backed startup slice. Orbyt owns everything else.

How to migrate from Comprehensive.io to Orbyt.

Migrating from Comprehensive.io to Orbyt Intelligence is straightforward because the two products solve overlapping problems. If you are using Comprehensive for startup comp benchmarking and your coverage needs have grown past the VC-backed network, here is the path.

  1. ✓Sign up for an Orbyt Intelligence account at intelligence/signup. The free tier unlocks 60 req/min with Bearer authentication and the AI Role Taxonomy engine, with no card.
  2. ✓Generate an API key from the API dashboard. The OpenAPI 3.1 spec is at /openapi-intelligence.yaml for code generation.
  3. ✓Map your current Comprehensive role taxonomy to Orbyt role slugs. Orbyt's coverage extends past the startup slice into AI labs, FAANG, enterprise SaaS, and public companies; if you have been working around Comprehensive's coverage gaps, those gaps disappear here.
  4. ✓For AI agents, drop the Orbyt MCP manifest URL into Claude Desktop or ChatGPT Actions. Manifest is at /mcp-intelligence.json. Comprehensive has no MCP story; Orbyt does.
  5. ✓Replace any Comprehensive CSV exports or API calls with `/api/v1/intelligence/salaries` queries. Orbyt returns structured total comp (base, equity, bonus, signing) with source citations and percentile bands.
  6. ✓Confirm your citation complies with CC BY 4.0. Orbyt's required attribution is 'Orbyt Intelligence, Q2 2026' plus a link to the dataset. Comprehensive's data under their terms cannot be redistributed in a derivative product.

Most teams finish the migration in under an hour once the role mapping is done. The coverage expansion is the biggest immediate win: companies and roles that were gaps in Comprehensive's startup-focused dataset are first-class in Orbyt's. Forward projections through 2030 and the CC BY 4.0 license are the longer-term wins for anyone building on top of the data.

Start free.

Live API. Build from $99/mo. No auth on demo endpoint.

This is what Comprehensive.io cannot do.

Director of Engineering at Microsoft (outside the VC-startup slice).

Data refreshed 4 months ago. Next refresh Q3 2026.
Request
GET https://www.orbytjobs.ai/api/v1/intelligence/salaries/demo?role=ai-engineer&city=san-francisco
200 OKapplication/json
{
  "role":  "Director of Engineering",
  "company": "Microsoft",
  "level":   "Level 64",
  "levelingFramework": "Microsoft L60-L70",
  "base":      { "p50": 320000 },
  "equity":    { "p50": 450000, "vestingPeriod": "4 years" },
  "bonus":     { "p50": 95000 },
  "signing":   { "p50": 125000 },
  "totalComp": { "p50": 865000 },
  "companyType": "Public, Fortune 50",
  "coverageNote": "Outside the VC-backed startup ecosystem.",
  "license": "CC BY 4.0"
}

Response shape is stable. OpenAPI spec published at /openapi-intelligence.yaml. Every field is cited, versioned, and under CC BY 4.0.

Where Comprehensive.io lands. Where it does not.

Where Comprehensive.io is strong

  • Modern compensation benchmarking UX
  • Strong positioning in VC-backed startup ecosystem
  • API exists for paid customers
  • Real compensation transparency advocacy and public presence
  • Real-time data feeds from their customer base

Where Comprehensive.io falls short

  • Dataset concentrated on VC-backed startups. Thin outside that slice.
  • No public API tier
  • No MCP or AI-agent integration
  • Narrower role and city coverage than Orbyt
  • No forward projections through 2030
  • Heavy HR-buyer focus. Not built for developers or candidates.

What Comprehensive.io cannot do.

The specific gaps. Every one of them is a gap Orbyt Intelligence fills below.

The dataset is a slice, not a map.

Comprehensive.io coverage is concentrated on VC-backed startups in major hubs. That is by design, and their customers in that segment are well served. Step outside the segment, and the coverage gets thin fast. Public companies, enterprise SaaS at scale, frontier AI labs that are not already Comprehensive customers, and industries outside tech see sharp coverage drops.

No public API tier.

Comprehensive.io has APIs for paid customers. There is no self-serve developer tier and no way to evaluate the API before a contract. For a developer, a researcher, or a startup founder who wants to validate the data against a use case before committing, the doors are closed. Orbyt's free tier is the published alternative: instant access, no sales call.

No MCP. AI agents cannot use Comprehensive as a tool.

Claude Desktop, ChatGPT Actions, autonomous agents in Langchain or crewai pipelines: none of them can call Comprehensive as a first-class MCP tool. As of Q2 2026, there is no MCP manifest on the Comprehensive.io roadmap. An agent that needs salary data inside a workflow has to use a different provider or fall back to scraping.

No forward projections. No 2030 model.

Comprehensive surfaces real-time data from customer payroll feeds. That is useful for lagging questions (what do startups pay today?) but silent on the leading questions (what will AI engineer comp look like in 2028?). Orbyt Intelligence publishes forward projections through 2030 for every role and city, with the methodology disclosed.

Proprietary license. Cannot cite or redistribute.

Comprehensive data is proprietary. If you are writing a paper, building a public comp transparency tool, training a model, or embedding the data in a product that serves your own customers, the license restricts what you can do. Orbyt Intelligence is CC BY 4.0, which explicitly permits all of the above with attribution.

Projections through 2030

Comprehensive.io tells you today. Orbyt tells you 2030.

Director of Engineering, Microsoft (Seattle). Annual total comp, projected year over year with methodology disclosed.

Feature by feature.

Feature comparison between Orbyt Intelligence and Comprehensive.io
FeatureOrbyt IntelligenceComprehensive.io
Public API with transparent pricingDecisive
MCP support for AI agentsDecisive
Total comp breakdown
Roles covered3,445Startup subset
Cities covered (U.S.)81Major hubs
Forward projections to 2030
Non-startup company coverageBroad (FAANG, enterprise, public)Limited
Update cadenceQuarterlyReal-time from customers
Data licenseDecisiveCC BY 4.0Proprietary
Pricing transparentYes (paid tiers)
Free consumer UX to browse
OpenAPI spec published
Target buyerDevelopers, AI teams, candidates, HRStartup HR/People teams

Based on publicly available feature lists and documentation as of Q2 2026. Updated quarterly.

They named their product Comprehensive. We built the comprehensive dataset. Names are cheap. Coverage is not.
JB
Justin Bartak
Founder, Orbyt

Common questions.

Orbyt Intelligence. 3,445 roles across 81 U.S. cities covering VC-backed startups, AI labs, Big Tech, enterprise SaaS, and public companies. Not just the startup slice. Plus a public API tier and MCP support for AI agents, neither of which Comprehensive ships.

Comprehensive has APIs for paid customers but no published self-serve developer tier. Orbyt Intelligence publishes a Bearer-auth API at /api/v1/intelligence/* starting free (60 req/min), plus an OpenAPI 3.1 spec and MCP manifest, all public.

Orbyt Intelligence. AI labs (Anthropic, OpenAI, Google DeepMind, Meta AI) and frontier-model companies are explicitly covered with leveling frameworks and role-specific premiums. Comprehensive's startup dataset includes some AI companies but does not have the leveling and emerging-role depth Orbyt ships.

Yes. CC BY 4.0 license explicitly permits redistribution and derivative works with attribution. Link to the source and cite 'Orbyt Intelligence, Q2 2026' or the current quarter. Comprehensive's data is proprietary. You cannot legally republish.

Yes. 3,445 roles span AI/ML, software engineering, data, DevOps, security, design, product, sales, marketing, finance, and operations. Comprehensive.io leans heavily toward technical and product roles at software startups.

Free starts at 60 req/min on a Bearer-auth API, with no card. Paid tiers are Pro at $99/mo and Ultra at $199/mo, both published. Comprehensive's pricing is public for paid plans but starts higher and lacks an MCP server.

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