bls.macro.payrolls
Get U.S. nonfarm payroll employment data from the BLS Current Employment Statistics (CES) survey. Returns seasonally adjusted monthly payroll counts in thousands of jobs. Industries: "total" = Total Nonfarm, "private" = Total Private, "manufacturing", "construction", "professional" = Professional...
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/bls.macro.payrolls.md
What bls.macro.payrolls does on Apibase
AI agents call bls.macro.payrolls to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
end_year | integer | — | Last year of payroll data (default: current year). |
industry | string | — | Industry sector: "total" = Total Nonfarm (default), "private" = Total Private, "manufacturing", "construction", "professional" = Professional & Business Service |
start_year | integer | — | First year of payroll data (default: current year - 4). |
Parameters from the server's own tool schema.
Why bls.macro.payrolls is rated Low
Retrieves historical economic statistics with no data modification or external action capability.
From the tool's definition Get U.S. nonfarm payroll employment data, Returns seasonally adjusted monthly payroll counts.
Attacks that exploit this kind of access
The rule that runs bls.macro.payrolls safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For bls.macro.payrolls, this is the rule to start with:
bls.macro.payrolls is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Apibase, apply this rule, and every bls.macro.payrolls call is checked against it from then on.
Questions about bls.macro.payrolls
Get U.S. nonfarm payroll employment data from the BLS Current Employment Statistics (CES) survey. Returns seasonally adjusted monthly payroll counts in thousands of jobs. Industries: "total" = Total Nonfarm, "private" = Total Private, "manufacturing", "construction", "professional" = Professional & Business Services, "healthcare" = Healthcare & Social Assistance, "retail" = Retail Trade, "finance" = Financial Activities. Monthly jobs report data — the most closely watched U.S. economic indicator. Use for labor market analysis, sector employment trends, and economic research. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
bls.macro.payrolls accepts 3 parameters: end_year, industry, start_year. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for bls.macro.payrolls: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Apibase. Nothing to install.
bls.macro.payrolls is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the bls.macro.payrolls rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for bls.macro.payrolls. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
bls.macro.payrolls is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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