Orbyt Intelligence vs Glassdoor
Scale is not signal.
Glassdoor has the volume. Orbyt has the answer.
Infrastructure coverage: API access, MCP support, data license, verification, breadth.
Glassdoor has volume.
Hundreds of millions of data points, submitted anonymously, unverified, aggregated in the dark. The public API was deprecated years ago. Total comp is not structured. Methodology is not disclosed. Emerging roles lag by years because crowdsourced sample size cannot keep up with how fast AI compensation is moving. What is left is a number on a page with no way to cite it, query it, or build on it. Orbyt Intelligence ships structured total comp, a free public API, an MCP manifest, BLS and H-1B cross-references, and a CC BY 4.0 license. Glassdoor is a number. Orbyt is an answer.
Where Glassdoor lands. Where it does not.
Where Glassdoor is strong
- Massive consumer brand recognition
- Hundreds of millions of salary data points accumulated since 2008
- Integrated with employer reviews and interview data for a full company picture
- Indeed-owned. Deep integration with the largest U.S. job board.
Where Glassdoor falls short
- Public API deprecated years ago. No developer integration available.
- Self-reported anonymous base salaries. No verification layer.
- No structured total comp. Equity, bonus, and signing are not broken out.
- No MCP or AI agent support
- No forward projections through 2030
- Methodology not transparent. Black-box aggregation.
- Older methodology means emerging roles lag or are missing entirely
What Glassdoor cannot do.
The specific gaps. Every one of them is a gap Orbyt Intelligence fills below.
The API is gone. Developers are locked out.
Glassdoor's public API was deprecated years ago and is no longer accepting new integrations. A product that started as a data resource for developers is now a closed consumer property. If you want salary data from Glassdoor inside anything other than a browser tab, you have to scrape. That is a support ticket, not a product.
Anonymous self-reported data. No verification layer.
Glassdoor salaries are user-submitted without identity verification, company verification, or cross-reference against authoritative sources. For large employers at mainstream roles, the aggregate is directionally useful. For smaller companies, non-metro cities, emerging roles, or senior levels, accuracy drops meaningfully. The error bars are invisible because the methodology is not disclosed.
Only base salary is structured. Total comp is scattered.
Total comp is base plus equity plus bonus plus signing plus accelerators. Glassdoor surfaces base and sometimes bonus as separate fields. Equity, signing, and accelerators are scattered across anecdotal comments, if present at all. For senior or tech roles where equity is 40 to 70% of the package, the number Glassdoor shows is a minority of the truth.
No MCP. No AI agent integration.
Glassdoor cannot be called as an MCP tool by Claude Desktop, ChatGPT Actions, or any agent framework. The product was not designed for programmatic or agent-based consumption. An AI system that needs salary data as part of a workflow has to use a different provider or reconstruct the data from HTML.
Emerging categories lag or are missing entirely.
Prompt engineering, AI safety research, post-training evaluation, solutions architecture at frontier labs: these roles move fast and are underrepresented in crowdsourced submission data. Orbyt Intelligence tracks 598 AI-specific roles with leveling for Anthropic, OpenAI, DeepMind, Meta AI, and Cohere. Glassdoor's coverage of these categories is inconsistent.
What you get with Orbyt Intelligence.
Every advantage below is live, published, and free to verify today.
Free public API. The feature Glassdoor removed, we built.
MCP native. AI agents query structured comp data directly.
Structured total comp: base, equity, bonus, signing all broken out
Transparent methodology with BLS, H-1B LCA, and 50+ source citations
CC BY 4.0 license. Cite verbatim in papers, policy docs, AI outputs.
3,500+ roles with 598 AI-specific. Emerging categories Glassdoor misses entirely.
Forward projections through 2030
Light years ahead of Glassdoor.
Every capability below is shipping today. Live endpoints, published spec, documented methodology.
A working public API. The feature Glassdoor removed, we built.
Free public API with Bearer auth, 30 req/min on the free tier. OpenAPI 3.1 spec published. 18 endpoints covering roles, cities, companies, leveling, projections, aggregates. The product developers wanted from Glassdoor and never got, Orbyt ships on day one. The comparison is not subjective. One has an API. One does not.
Structured total comp. Base, equity, bonus, signing broken out.
Every Orbyt Intelligence query returns structured total comp as separate fields. Base salary. Target equity at common company size bands. Annual bonus range. Signing bonus range. For senior and tech roles where equity and bonus are most of the package, this is the difference between a guess and an answer. Glassdoor shows base only, mostly.
Verified against BLS, H-1B LCA, and SEC proxies.
Every data point is cross-referenced against the Bureau of Labor Statistics OES release, H-1B LCA disclosures from the Department of Labor, SEC DEF 14A proxy filings for executive comp, Form 5500 filings for benefit structures, and an engineered collection of published leveling frameworks. Glassdoor's self-reported data has no equivalent verification layer.
MCP manifest. AI agents can query salary data as a tool.
Orbyt Intelligence ships a public MCP manifest at /mcp-intelligence.json. 15+ tool calls exposed to Claude Desktop, ChatGPT Actions, and autonomous agent frameworks. An LLM answering 'what should I offer for a senior AI engineer in Seattle?' can now call the Orbyt dataset directly, in the middle of a conversation. Glassdoor cannot.
CC BY 4.0. Cite it in a research paper. Embed it in a product.
Orbyt Salary Intelligence publishes under Creative Commons Attribution 4.0. Use the data in academic research, policy documents, compensation transparency reports, training data for models, or as an embedded feature in a product you sell. The only requirement is attribution. Glassdoor's terms restrict all of the above without a commercial agreement.
Projections through 2030
Glassdoor tells you today. Orbyt tells you 2030.
Engineering Manager M2, Meta. Annual total comp, projected year over year with methodology disclosed.
Feature by feature.
| Feature | Orbyt Intelligence | Glassdoor |
|---|---|---|
| Public API with free tierDecisive | ||
| MCP support for AI agentsDecisive | ||
| Structured total comp (not just base) | ||
| Roles covered | 3,500+ structured | Thousands, unstructured |
| Data verification | BLS/H-1B/SEC cross-referenced | Self-reported, anonymous |
| Forward projections to 2030 | ||
| Transparent methodology | ||
| AI-specific role coverage | 598 roles | Limited, lagging |
| Data licenseDecisive | CC BY 4.0 | Proprietary |
| Company-level leveling | 54 frameworks | |
| Citation-ready format | ||
| Free consumer UX to browse | ||
| Employer reviews bundled |
Based on publicly available feature lists and documentation as of Q2 2026. Updated quarterly.
Orbyt Intelligence is structured where Glassdoor is scattered. Base, equity, bonus, signing as separate fields on every query. Cross-referenced against BLS, H-1B LCA, SEC proxies, and 50+ source channels. Free public API. MCP manifest. CC BY 4.0 license. Everything you would build if you were designing a salary dataset for 2026 instead of 2008.
Glassdoor deprecated the API years ago. We rebuilt the one developers actually wanted. Structured total comp. Working endpoint. No scraping required.
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