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fhfa_hpi_series

Return a bounded FHFA House Price Index history for one US geography from LiveDataLink's self-hosted official snapshot. Includes stable FHFA place_id, geography level, year/period, adjusted and unadjusted index values, pagination, snapshot hash, and required attribution. Use this for 'show Califo...

SERVERLivedatalink SOURCEhttps://livedatalink.ai/mcp
Low RISK CLASS
Category Read
Parameters 101 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/fhfa-hpi-series.md

What fhfa_hpi_series does on Livedatalink

AI agents call fhfa_hpi_series 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.

ParameterTypeRequiredDescription
limit integer — Maximum observations. Default 24.
place string Yes Exact FHFA place_id or geography name, such as 'CA', 'California', a 5-digit CBSA id, or an FHFA metro name.
offset integer — Observations to skip for pagination. Default 0.
end_year integer — Optional latest observation year.
frequency string — Observation frequency. Default quarterly.
hpi_flavor string — FHFA index flavor. Default purchase-only.
start_year integer — Optional earliest observation year.
index_basis string — Index column to use. Default seasonally_adjusted.
geography_level string — Optional exact FHFA geography level to disambiguate state, metro, division, or national series.
response_format string — Human-readable markdown or machine-readable JSON. Default markdown.

Parameters from the server's own tool schema.

Why fhfa_hpi_series is rated Low

Even though fhfa_hpi_series 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.

Risk signalsHigh parameter count (10 properties)

Questions about fhfa_hpi_series

What does the fhfa_hpi_series tool do? +

Return a bounded FHFA House Price Index history for one US geography from LiveDataLink's self-hosted official snapshot. Includes stable FHFA place_id, geography level, year/period, adjusted and unadjusted index values, pagination, snapshot hash, and required attribution. Use this for 'show California house-price history', 'chart the Austin metro HPI', or as a federal price-index leg alongside realestate_trend. The index measures average price change; it is not a property value or appraisal. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.

What parameters does fhfa_hpi_series accept? +

fhfa_hpi_series accepts 10 parameters: limit, place, offset, end_year, frequency, hpi_flavor, start_year, index_basis, geography_level, response_format. Required: place. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on fhfa_hpi_series? +

Register the Livedatalink MCP server in PolicyLayer and add a rule for fhfa_hpi_series: 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.

What risk level is fhfa_hpi_series? +

fhfa_hpi_series is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit fhfa_hpi_series? +

Yes. Add a rate_limit block to the fhfa_hpi_series 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.

How do I block fhfa_hpi_series completely? +

Set action: deny in the PolicyLayer policy for fhfa_hpi_series. 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.

What MCP server provides fhfa_hpi_series? +

fhfa_hpi_series 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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