The most complete
AI salary dataset. Period.
15 million data points. 3,445 roles. 81 U.S. cities.
See how it compares to everything else.
See the table.The proof.
Every feature. Every competitor. No asterisks.
| Feature | Orbyt | Levels.fyi | Glassdoor | Payscale | Pave | Blind | BLS OES |
|---|---|---|---|---|---|---|---|
| Data Coverage | |||||||
| Total roles tracked | 3,445 | ~500 | ~1,000 | ~800 | Enterprise only | ~800 | |
| Specialized roles tracked | 598 | ~100 | ~50 | ~30 | ~20 | ||
| U.S. cities covered | 81 | ~20 | ~50 | ~40 | ~400 | ||
| Company leveling frameworks | 54 companies | Partial | Enterprise only | ||||
| Methodology | |||||||
| Multi-source (BLS, H-1B, pay-transparency postings, community) | BLS only | ||||||
| Self-reported / crowdsourced | Supplement | Primary | Primary | Primary | Primary | Primary | |
| BLS SOC code citations | |||||||
| Cost-of-living adjustment (BEA RPP) | Partial | ||||||
| Community data flywheel | |||||||
| API Access | |||||||
| Public REST API | 20 endpoints | ||||||
| Entry tier price published | Build $99/mo | Free (public domain) | |||||
| MCP native (AI agents) | |||||||
| OpenAPI spec | |||||||
| llms.txt | |||||||
| Total Comp Breakdown | |||||||
| Base salary | Unverified | ||||||
| Equity per year | Unverified | ||||||
| Bonus percentage | Partial | ||||||
| Signing bonus | Partial | ||||||
| Company size salary bands | |||||||
| Remote salary differentials | |||||||
| LLM / Agent Support | |||||||
| MCP manifest | |||||||
| llms.txt discovery | |||||||
| Citation-ready responses | Partial | ||||||
| Structured JSON output | |||||||
| Pricing & Transparency | |||||||
| Published pricing | N/A | Ad-supported | Contact sales | Contact sales | N/A | Free | |
| Public consumer browsing | Website only | Website only | Limited | Website only | |||
| Updates & History | |||||||
| Update frequency | Annual | Ongoing | Ongoing | Ongoing | Ongoing | Ongoing | Annual (18-mo lag) |
| Historical tracking | Q3 2025+ | Enterprise only | Annual | ||||
| Forward projections (2030) | |||||||
Based on publicly available feature lists and documentation. Updated regularly.
Why it matters.
Not all salary data is created equal.
Multi-source beats self-reported.
Self-reported data skews high. People share outlier offers, not median outcomes. Orbyt Intelligence cross-references BLS OES surveys, H-1B LCA filings from the DOL, state pay-transparency job postings, and community submissions. When four independent sources converge, you get a number you can cite.
Structured comp beats a single number.
A total compensation figure without context is noise. Orbyt breaks every role into base salary, equity per year, bonus percentage, and signing bonus. You see the full picture: how compensation actually gets distributed, not just one headline number.
API-first beats scraping.
Every other salary platform treats programmatic access as an afterthought or blocks it entirely. Orbyt Intelligence ships 20 REST endpoints, an MCP manifest for AI agents, an OpenAPI spec, and llms.txt. Build on it. No scraping. No hacks. No terms-of-service risk.
Company leveling beats title matching.
A Senior Engineer at a 50-person startup and a Google L5 are not the same role. Orbyt tracks leveling frameworks for 54 companies so you can compare compensation at equivalent levels, not just equivalent titles.
Head to head.
The long version, one competitor at a time. Strengths, gaps, full feature tables, FAQ.