H-1B Salary Database: Search Employer Wage Benchmarks from LCA Filings

H-1B wage data matters because it sits at the intersection of compensation, immigration, recruiting, and employer research.

Job seekers want to know which companies sponsor visas and what they pay. Immigration attorneys and HR teams need wage context for LCA work. Compensation teams want market benchmarks. Recruiters and analysts want employer-level sponsorship patterns.

The H-1B Visa Data MCP server turns public LCA disclosure filings into a searchable workflow for AI agents and REST clients.

The Questions Are Naturally Specific

People do not search H-1B data in the abstract. They ask concrete questions.

What do Bay Area software companies pay senior backend engineers on H-1B filings? Which employers sponsor data scientists in Austin? What wage range shows up for product managers in New York? Does this employer file repeatedly, or is there only one old application?

Those questions are much closer to how people actually use the data. The product should not feel like a table browser. It should feel like a wage and sponsorship research assistant that happens to be grounded in public LCA filings.

Why AI Is A Good Interface

H-1B searches are rarely clean database queries. A user may ask:

What do Bay Area software companies pay senior backend engineers on H-1B filings?

That requires the agent to understand role wording variations, employer names, worksite geography, wage units, case status, and filing periods. It also needs to summarize the answer in a way that a human can use.

Structured MCP tools give the agent a reliable data source, while the language model handles summarization and follow-up.

Who This Helps

For compensation teams, LCA filings give a public benchmark for roles, locations, and employers that are otherwise hard to compare.

For HR and immigration teams, the data helps frame wage discussions and sponsorship patterns before a case becomes a paperwork exercise.

For recruiters and talent analysts, employer-level filing history can show where companies are actively sponsoring and which roles appear repeatedly.

For job seekers, the value is direct: search an employer, location, or job title and understand what has actually appeared in public filings.

A Concrete Agent Workflow

A user asks:

Find recent H-1B filings for senior software engineers in Austin and summarize the wage range by employer.

The agent can search filings by title and location, normalize wage values where needed, group results by employer, and highlight employers with repeated filings. The user gets an answer, not a spreadsheet assignment.

For backend teams, the generated OpenAPI page at /mcp-info/bundle/h1b-visa/apidocs exposes the same tool surface for internal compensation dashboards, employer sponsorship lookup, recruiting research products, and analyst workflows.

Questions To Ask

Good H-1B research questions sound specific because the work is specific:

What do Bay Area software companies pay senior backend engineers on recent H-1B filings?

Which employers sponsor data scientists in Austin?

Show H-1B wage filings for product managers in New York and group them by employer.

Does this company file repeatedly for software engineering roles, or is there only one old application?

Related Products

H-1B data becomes stronger when combined with employer intelligence from SEC Executive Compensation, FMCSA Carrier Safety, and Nonprofit Lookup.

Start with the H-1B Visa Data MCP server, or use /mcp-info/bundle/h1b-visa/apidocs for REST integration.