latvia-statistics.series.table_query
Run a statistical query against a Latvia statistics table — specify dimension filters to slice data by indicator, time period, region, etc. Returns JSON-stat2 format with labeled dimensions and numeric values. Always call latvia-statistics.table_metadata first to discover valid dimension codes an...
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What latvia-statistics.series.table_query does on Apibase
AI agents call latvia-statistics.series.table_query 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 |
|---|---|---|---|
query | array | Yes | Array of dimension filters. Each filter selects which values to include for one dimension. Example: [{code:'INDICATOR',selection:{filter:'item',values:['POP_SY' |
table_path | string | Yes | Full path to the leaf table to query — same as latvia-statistics.table_metadata table_path. Example: 'POP/IR/IRS/IRS010'. |
Parameters from the server's own tool schema.
Why latvia-statistics.series.table_query is rated Low
Retrieves statistical data from Latvia's public statistics database without creating, modifying, or deleting data.
From the tool's definition statistical query, returns JSON-stat2 format, dimension filters, no modifications
Risk signalsAccepts freeform code/query input (query[].code)
Attacks that exploit this kind of access
The rule that runs latvia-statistics.series.table_query 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 latvia-statistics.series.table_query, this is the rule to start with:
latvia-statistics.series.table_query 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 latvia-statistics.series.table_query call is checked against it from then on.
Questions about latvia-statistics.series.table_query
Run a statistical query against a Latvia statistics table — specify dimension filters to slice data by indicator, time period, region, etc. Returns JSON-stat2 format with labeled dimensions and numeric values. Always call latvia-statistics.table_metadata first to discover valid dimension codes and value codes. Example: population at start of year (INDICATOR='POP_SY'), latest year (TIME filter='top' values=['1']). Data: data.stat.gov.lv, no auth required, CC BY 4.0 (Central Statistical Bureau of Latvia). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
latvia-statistics.series.table_query accepts 2 parameters: query, table_path. Required: query, table_path. 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 latvia-statistics.series.table_query: 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.
latvia-statistics.series.table_query 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 latvia-statistics.series.table_query 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 latvia-statistics.series.table_query. 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.
latvia-statistics.series.table_query 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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