fed_z1_change
Calculate the absolute and percentage change in one curated Federal Reserve Z.1 aggregate between two exact hosted quarters. Returns both observations, dollar change, percent change, series definitions, release provenance, and source hashes. Use this for 'how much did household net worth change f...
This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/fed-z1-change.md
What fed_z1_change does on Livedatalink
AI agents call fed_z1_change to retrieve information from Livedatalink 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 |
|---|---|---|---|
series | string | Yes | Exact curated slug or official Z.1 series ID. Call fed_z1_catalog to discover supported values. |
end_period | string | Yes | Quarter in official Z.1 YYYY:Qn form, such as 2020:Q4. |
start_period | string | Yes | Quarter in official Z.1 YYYY:Qn form, such as 2020:Q4. |
response_format | string | — | Human-readable markdown or machine-readable JSON. Default markdown. |
Parameters from the server's own tool schema.
Why fed_z1_change is rated Low
Even though fed_z1_change only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs fed_z1_change safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livedatalink, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fed_z1_change, this is the rule to start with:
fed_z1_change 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 Livedatalink, apply this rule, and every fed_z1_change call is checked against it from then on.
Questions about fed_z1_change
Calculate the absolute and percentage change in one curated Federal Reserve Z.1 aggregate between two exact hosted quarters. Returns both observations, dollar change, percent change, series definitions, release provenance, and source hashes. Use this for 'how much did household net worth change from 2019 Q4 to 2024 Q4?', 'growth in mortgage debt since 2020', or 'change in federal debt outstanding between two quarters'. This is descriptive historical arithmetic, not a forecast or recommendation. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.
fed_z1_change accepts 4 parameters: series, end_period, start_period, response_format. Required: series, end_period, start_period. The full parameter table on this page comes from the server's own tool schema.
Register the Livedatalink MCP server in PolicyLayer and add a rule for fed_z1_change: 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 Livedatalink. Nothing to install.
fed_z1_change 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 fed_z1_change 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 fed_z1_change. 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.
fed_z1_change is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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