dataseries.org valid

dataseries.org

Open Swiss economic data (SNB, SECO, KOF, FSO and more), unified, charted and downloadable in one place.

For agents: Unified, charted and downloadable Swiss economic data from SNB, SECO, KOF and FSO in one place.

swiss economic datasnbsecokofopen data

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T06:36:50.775Z. Cached copy · Source on dataseries.org

# dataseries.org

> Open Swiss economic data (SNB, SECO, KOF, FSO and more), unified, charted and downloadable in one place.

Base URL: https://dataseries.org

## How to read a series

Every dataset has a crawlable page with the recent numbers inline, a chart, and a ready CSV link:
  https://dataseries.org/d/<dataset_id>

Compare or pick specific series with query params (comma-separated level codes of the split dimension):
  https://dataseries.org/d/<dataset_id>?series=<codeA>,<codeB>

Raw data (no page) as tidy CSV or JSON. Optional from=/to= bound the dates
(YYYY-MM-DD, inclusive); the ONLY other accepted params are dataset and dims,
and any other name is a 400, so a wrong guess corrects itself:
  https://dataseries.org/series.csv?dataset=<dataset_id>&dims=<dim>=<codeA>,<codeB>&from=<date>&to=<date>
  https://dataseries.org/series?dataset=<dataset_id>&dims=<dim>=<codeA>,<codeB>&from=<date>&to=<date>

A complete working example:
  https://dataseries.org/series.csv?dataset=ch_seco_gdp&dims=type=real;structure=gdp;seas_adj=cssa
  (Swiss GDP, chain-linked volumes, seasonally/calendar/sports-event adjusted.)
  Change seas_adj to na (raw), csa (seasonal+calendar) or nasa (sports-event only).

Get the codes for any dataset from https://dataseries.org/dataset/<dataset_id>/meta. The
`dimensions` object lists every dimension and every level code within it. Do not
guess codes from the labels on the page; they are short forms like `nasa` and
`cssa` that you cannot derive. A wrong code or dimension name now returns 400
with the valid ones listed, so read the error rather than trying variations.
`;` separates dimensions and `=` binds a code to one; `:` also works if that is
easier to write (dims=structure:gdp is the same as dims=structure=gdp).

Natural-language lookup (returns the best dataset + ready URLs as JSON):
  https://dataseries.org/resolve?q=<your question>
  The reply also carries `matched` and `unmatched`: the words of your query we
  did and did not recognise, plus a one-line `note` when they differ. Check
  `unmatched` before trusting the results: "youth unemployment" answers on
  `unemployment` alone and reports `youth` as unmatched, which means we hold no
  youth breakdown, not that the results are about youth. Common words are
  ignored and appear in neither list.

A branded chart image you can embed directly (best for chat/markdown answers):
  ![chart](https://dataseries.org/chart.png?dataset=<dataset_id>)

For a web page, embed the LIVE interactive chart as an iframe (append &embed=1):
  <iframe src="https://dataseries.org/d/<dataset_id>?embed=1" width="680" height="680" style="border:0"></iframe>
  (oEmbed-aware platforms auto-embed a pasted /d/<id> link: https://dataseries.org/oembed?url=<page_url>)

Embed options:
  Theme: the embed follows the viewer's prefers-color-scheme by default. Add
    &theme=dark or &theme=light to pin it. To drive it from a page whose own
    dark mode the visitor can toggle, LEAVE theme OFF the URL (an expli
…

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Machine-readable: GET /v1/resolve?q=dataseries.org · GET /v1/domain/dataseries.org · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for dataseries.org:
1. POST https://agentwebmap.com/v1/sites/dataseries.org/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://dataseries.org/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/dataseries.org/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/dataseries.org).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.