ine-chile.series.data
Get observation values for a Chilean SIMEL dataflow_id (e.g. "DF_NOCU_SEXO" for employed persons by sex). Filter by last_n_observations (most recent N per series, default 10, max 100) or a start_period/end_period range (e.g. "2020", "2020-01"). Each series is labeled with its dimension values (se...
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/ine-chile.series.data.md
What ine-chile.series.data does on Apibase
AI agents call ine-chile.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 |
|---|---|---|---|
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 | SIMEL dataflow id, from ine-chile.dataflows (e.g. "DF_NOCU_SEXO"). |
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 ine-chile.series.data is rated Low
Retrieves time series demographic and economic data from public Chilean statistics API without modification or execution.
From the tool's definition Get observation values, filter by period range, returns labeled data pairs
Attacks that exploit this kind of access
The rule that runs ine-chile.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 ine-chile.series.data, this is the rule to start with:
ine-chile.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 ine-chile.series.data call is checked against it from then on.
Questions about ine-chile.series.data
Get observation values for a Chilean SIMEL dataflow_id (e.g. "DF_NOCU_SEXO" for employed persons by sex). Filter by last_n_observations (most recent N per series, default 10, max 100) or a start_period/end_period range (e.g. "2020", "2020-01"). Each series is labeled with its dimension values (sex, region, etc.) and a list of period/value pairs. Data: sdmx.ine.gob.cl (INE Chile SDMX API), no auth required. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
ine-chile.series.data accepts 4 parameters: 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 ine-chile.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.
ine-chile.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 ine-chile.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 ine-chile.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.
ine-chile.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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