`get_data`

Pack: abs-au · Endpoint: https://gateway.pipeworx.io/abs-au/mcp

Fetch observations from an ABS dataflow. dataKey is a dot-separated SDMX filter with one position per dimension (order from dataflow_structure); each position is a code, ”+“-joined codes, or empty for wildcard. Pass “all” to fetch everything (can be large). Returns decoded series with their dimension labels and time-indexed values. Fetch dataflow_structure first to learn the dimension order and valid codes.

Parameters

Name	Type	Required	Description
`dataflowId`	string	yes	Dataflow id, e.g. “CPI”.
`dataKey`	string	yes	Dot-separated dimension filter, e.g. “1.10001.10.50.Q” or “all”. Empty positions are wildcards.
`startPeriod`	string	no	Earliest period, e.g. “2020” or “2020-Q1” or “2020-01”.
`endPeriod`	string	no	Latest period, e.g. “2024”.
`maxSeries`	number	no	Cap decoded series returned (default 100). The raw response may contain thousands.

Example call

Arguments

{
  "dataflowId": "CPI",
  "dataKey": "1.10001.10.50.Q",
  "startPeriod": "2020-Q1",
  "endPeriod": "2024-Q4"
}

curl

curl -X POST https://gateway.pipeworx.io/abs-au/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_data","arguments":{"dataflowId":"CPI","dataKey":"1.10001.10.50.Q","startPeriod":"2020-Q1","endPeriod":"2024-Q4"}}}'

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('get_data', {
  "dataflowId": "CPI",
  "dataKey": "1.10001.10.50.Q",
  "startPeriod": "2020-Q1",
  "endPeriod": "2024-Q4"
});

More examples

{
  "dataflowId": "LF",
  "dataKey": "M3.3.1599.20.AUS.M",
  "startPeriod": "2025-01",
  "endPeriod": "2025-06",
  "maxSeries": 50
}

Connect

Add this to your MCP client config, or use one-click install buttons:

{
  "mcpServers": {
    "abs-au": {
      "url": "https://gateway.pipeworx.io/abs-au/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

get_data