ilostat.series.data
Get observation values for an ILOSTAT dataflow (dataflow_id from ilostat.dataflows). Use key (from ilostat.structure) to filter by country/frequency/measure/sex/age, e.g. "USA.A....." for United States annual data, all other dimensions unfiltered. Control the time range with start_period/end_peri...
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/ilostat.series.data.md
What ilostat.series.data does on Apibase
AI agents call ilostat.series.data to retrieve information from Apibase 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 |
|---|---|---|---|
key | string | — | SDMX dot-separated dimension filter key in dimension position order (e.g. "USA.A....." for a country restricted to United States, all other dimensions unfiltere |
end_period | string | — | End of period range, e.g. "2024" (annual) or "2024-12" (monthly). Takes precedence over last_n_observations when set. |
dataflow_id | string | Yes | ILOSTAT dataflow id, from ilostat.dataflows (e.g. "DF_EMP_TEMP_SEX_AGE_NB" for employment by sex and age). |
start_period | string | — | Start of period range, e.g. "2020" (annual) or "2020-01" (monthly). Takes precedence over last_n_observations when set. |
last_n_observations | integer | — | Return only the most recent N observations per series (max 100, default 10). Ignored if start_period or end_period is set. |
Parameters from the server's own tool schema.
Why ilostat.series.data is rated Low
Tool retrieves public labor statistics data without side effects or destructive capabilities.
From the tool's definition Get observation values for an ILOSTAT dataflow; filters by country/frequency/measure; no auth required.
Attacks that exploit this kind of access
The rule that runs ilostat.series.data safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ilostat.series.data, this is the rule to start with:
ilostat.series.data 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 Apibase, apply this rule, and every ilostat.series.data call is checked against it from then on.
Questions about ilostat.series.data
Get observation values for an ILOSTAT dataflow (dataflow_id from ilostat.dataflows). Use key (from ilostat.structure) to filter by country/frequency/measure/sex/age, e.g. "USA.A....." for United States annual data, all other dimensions unfiltered. Control the time range with start_period/end_period or last_n_observations. Data: sdmx.ilo.org (ILOSTAT SDMX public REST API), no auth required. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
ilostat.series.data accepts 5 parameters: key, end_period, dataflow_id, start_period, last_n_observations. Required: dataflow_id. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for ilostat.series.data: 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 Apibase. Nothing to install.
ilostat.series.data 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 ilostat.series.data 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 ilostat.series.data. 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.
ilostat.series.data is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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