Uk Ons

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

Tool list unknown · tools last changed 2026-10-19 · checked 2026-10-20 14:21 UTC

Tool changes

• 2026-10-19ons_timeseriesremoved

  Fetch a single UK ONS time series by its www.ons.gov.uk URI (the classic timeseries API, distinct from the filterable datasets above). Returns the full series JSON (description + observations). e.g. uri "/economy/grossdomesticproductgdp/timeseries/abmi/pn2". (Named ons_timeseries — get_series is used by many other economic-data packs.)

• 2026-10-19get_observationsremoved

  Fetch observations from a dataset/edition/version. Pass dimension filters as `dimensions` map ({"geography": "K02000001", "time": "2023"}). Use `*` for "all values" within a dimension.

• 2026-10-19get_versionremoved

  Fetch metadata for a specific version of an ONS dataset edition, including dimension definitions with codelist links, CSV/XLS download URLs, release date, and publication state.

• 2026-10-19list_editionsremoved

  List all named editions of an ONS dataset (e.g., "time-series", "annual"). Returns each edition label, release date, state, and the latest version ID to use with get_version or get_observations.

• 2026-10-19list_datasetsremoved

  Paginated catalog of ONS datasets. Returns id, title, description, contacts, release frequency, last release, theme.

• 2026-10-19forgetremoved

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

• 2026-10-19recallremoved

  Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

• 2026-10-19generate_llms_txtremoved

  Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

• 2026-10-19suggest_questionsremoved

  What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

• 2026-10-19pipeworx_trendingremoved

  What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.