dbnomics.data.series
List all time series available in a specific dataset on DBnomics, with pagination. Each series has a unique code, human-readable name, frequency, and dimension labels. Examples: WB/WDI contains NY.GDP.MKTP.CD (nominal GDP) for 200+ countries; OECD/QNA contains quarterly GDP growth for OECD member...
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/dbnomics.data.series.md
What dbnomics.data.series does on Apibase
AI agents call dbnomics.data.series 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 |
|---|---|---|---|
limit | integer | — | Number of series to return (1–200, default 50) |
offset | integer | — | Pagination offset — number of series to skip (default 0) |
dataset_code | string | Yes | Dataset code within the provider (e.g. WDI for World Development Indicators). Use dbnomics.datasets to list codes. |
provider_code | string | Yes | DBnomics provider code (e.g. WB, OECD, IMF). Use dbnomics.providers to list codes. |
Parameters from the server's own tool schema.
Why dbnomics.data.series is rated Low
Tool retrieves metadata about economic time series without modifying data or executing operations.
From the tool's definition List all time series available in a specific dataset, pagination, open data
Attacks that exploit this kind of access
The rule that runs dbnomics.data.series 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 dbnomics.data.series, this is the rule to start with:
dbnomics.data.series 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 dbnomics.data.series call is checked against it from then on.
Questions about dbnomics.data.series
List all time series available in a specific dataset on DBnomics, with pagination. Each series has a unique code, human-readable name, frequency, and dimension labels. Examples: WB/WDI contains NY.GDP.MKTP.CD (nominal GDP) for 200+ countries; OECD/QNA contains quarterly GDP growth for OECD members; EUROSTAT/nama_10_gdp contains GDP component breakdowns by EU country. Use the returned series codes with dbnomics.data.fetch_series to retrieve actual data. Supports pagination via limit (max 200) and offset. No API key required — open data under CC-BY 4.0. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
dbnomics.data.series accepts 4 parameters: limit, offset, dataset_code, provider_code. Required: dataset_code, provider_code. 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 dbnomics.data.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 Apibase. Nothing to install.
dbnomics.data.series 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 dbnomics.data.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.
Set action: deny in the PolicyLayer policy for dbnomics.data.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.
dbnomics.data.series 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.
More on Apibase, and thousands of servers like it.
This server
Across the catalogue