gsa_rate_stats

Pack: gsa-calc · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)

No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/gsa_rate_stats for the schema, then POST the same URL with its arguments for the data.

Price statistics only for a GSA schedule labor category — min, 25th percentile, median, 75th percentile and max hourly ceiling rate across every matching contract rate, with no individual rows. Use when you want the benchmark number rather than the listings: “what is the median GSA rate for a business analyst”, “p75 hourly rate for cybersecurity engineers with a clearance”. Same filters as gsa_labor_rates. Example: gsa_rate_stats({ labor_category: “project manager”, education: “BA”, min_experience: 10 })

Parameters

Example call

Arguments

{
  "labor_category": "project manager",
  "education": "bachelors"
}

curl

curl -X POST https://gateway.pipeworx.io/gsa-calc/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"gsa_rate_stats","arguments":{"labor_category":"project manager","education":"bachelors"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('gsa_rate_stats', {
  "labor_category": "project manager",
  "education": "bachelors"
});

More examples

{
  "labor_category": "engineer",
  "worksite": "contractor",
  "business_size": "small business"
}

Connect

Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://pipeworx.io/mcp"
    }
  }
}

{
  "mcpServers": {
    "gsa-calc": {
      "url": "https://gateway.pipeworx.io/gsa-calc/mcp"
    }
  }
}

See Getting Started for client-specific install steps.