gsa_rate_stats
Pack: gsa-calc · Endpoint: https://gateway.pipeworx.io/gsa-calc/mcp
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
| Name | Type | Required | Description |
|---|---|---|---|
labor_category | string | yes | Job title to benchmark, e.g. “project manager”. |
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, or use one-click install buttons:
{
"mcpServers": {
"gsa-calc": {
"url": "https://gateway.pipeworx.io/gsa-calc/mcp"
}
}
}
See Getting Started for client-specific install steps.