EU Trade Explorer

Report-section helper ("Autonomy & vulnerability"): net import reliance (`get_net_import_reliance`) is always the headline fact/chart. Trade intensity and export propensity (`get_trade_intensity` / `get_export_propensity`) are both computed, then a deterministic salience score -- distance from an unremarkable ~50% band, plus the magnitude of its own change -- decides which one leads the narrative; this choice is never left to the caller. `trade_intensity_pct` is returned fully unit-consistent (first/last/min/max all expressed as a percentage, matching `export_propensity_pct`). Sub-contracting is deliberately not included in this section at all -- it is an unrelated, tiny-base PRODCOM series that only muddied the narrative. Returns `{narrative_facts, chart_data, available, reason}`.

List all top-level Combined Nomenclature chapters (2-digit codes). Bootstraps browsing the nomenclature top-down; drill into a chapter with `get_subtree`.

Herfindahl-Hirschman Index (HHI) of trade concentration across partners or member states, per period (0 = perfectly spread, 10000 = one entity holds the whole market), plus the top-8-by-value share breakdown (rest bundled as 'Others'). Higher HHI = more dependent on a handful of counterparties.

Partner-concentration (HHI) compared across sub-products: one HHI line per sub-product rather than per flow, to see which sub-products drive a parent code's overall concentration.

Cross-sectional HHI per country for one year -- the choropleth counterpart of get_concentration. 'partner' entity_level = for every EU member state, HHI of its trade across partners; 'reporter' = for every partner, HHI of its trade across EU member states (subject to the Rotterdam/Antwerp entry-point distortion).

Reference data for reporters/partners: selectable EU/Euro-area/member states, named partner presets, predefined reporter/partner groups, and per-language country-name translations. Use this to find valid values for the `reporter`, `partner_set`, `partners` and `reporter_members` fields used throughout the other tools' `query` argument.

Return the period coverage (`data_min`/`data_max`, 'YYYY-MM') actually cached for the given product code(s) -- use before picking `period_start`/`period_end` so you don't request an empty window.

Export Propensity = Exports / Production, annual: the share of EU production that is exported. Not clamped -- values above 100% are legitimate (re-exports, stock drawdown, scope differences). Returns the export-propensity matrix, a sibling/per-code comparison, resolved PRODCOM codes and availability notes.

Fetch every report section (scope, overview, market structure, volatility, autonomy) for one shared `query` in a single call, instead of calling `get_product_profile` / `get_market_summary` / `get_market_structure_summary` / `get_volatility_summary` / `get_autonomy_summary` separately yourself. Guarantees all five sections describe the exact same product/reporter/partner/period slice -- five separate calls have no such guarantee, since nothing stops `query` from being re-typed slightly differently across them, or one of the five simply being forgotten. `query`'s own field defaults (`reporter='European Union'`, `partner_set='non-EU countries'`, `period_start='2015-01'`, `frequency='quarter'`, `remove_outliers=true`, ...) are exactly the sensible defaults for a first-cut report; override any of them for a different slice -- e.g. a specific member state, a custom partner group, a narrower period. Returns `{"query": {...}, "sections": {<name>: {narrative_facts, chart_data, links, available, reason}, ...}}` for `<name>` in `product_profile`, `market_summary`, `market_structure`, `volatility`, `autonomy`. `links` maps each `narrative_facts` key to a ready-made `https://tradedashboard.eu/...` URL for that same fact -- never construct one of these yourself; use the one already provided.

Choropleth-ready aggregates: per-period totals (quantity, value, price) for imports and exports, keyed by GISCO country code on both the reporter and partner sides.

Report-section helper ("Market structure"): combines, in priority order, the intra-EU specialisation snapshot (`get_specialisation`, already map-ready), partner-concentration detail (`get_concentration`, keeping the top-8-by-value share breakdown as `chart_data` alongside the condensed HHI trend) and, when a PRODCOM mapping exists for the product, EU production volumes (`get_production_series`). These three are independent data sources bundled only because they all describe "market structure" -- the specialisation RSCA is trade-based and has no relation to the PRODCOM production figures; treat them as separate findings, not a single connected story. `most_specialised_reporters` / `least_specialised_reporters` are pre-sorted by actual RSCA (highest/ lowest first respectively) -- use them as-is rather than re-deriving a ranking. `query.prodcom_code` is passed through untouched -- picking among ambiguous PRODCOM mappings is left to the caller, never guessed here. Returns `{narrative_facts, chart_data, available, reason}`.

Report-section helper ("General overview"): condensed, report-ready digest of how a market has evolved over the chosen window -- one call instead of separately fetching and cross-referencing get_overview + get_reporter_detail + get_concentration + get_net_import_reliance yourself. Set `query.frequency = "year"` for a multi-year evolution summary (recommended over the model's default of "quarter"). Every figure reflects `query` exactly as given -- the same product/reporter/partner_set/period slice a dashboard user would have selected. Nothing here substitutes a different reporter or partner_set (e.g. to contrast intra-EU against extra-EU trade): call this again with a different `query.partner_set` for that, the same way a dashboard user would switch the sidebar's selector. Returns `{narrative_facts, chart_data, available, reason}`. `narrative_facts` combines, for the flow selected by `query.partner_set`: - Headline trade: first/last/min/max/pct_change for export & import value, quantity and price, plus the trade-balance trend. - Partner concentration: first/last/pct_change of the value-based HHI for imports and exports. - Top partners *and* top EU reporters by value: each one's first/last/pct_change -- i.e. who is gaining or losing share. - Net import reliance: first/last/pct_change of the annual NIR % for `query`'s own `reporter`/`partner_set` (only `frequency` is normalised to "year", since NIR is structurally annual and the upstream API always returns it that way regardless); omitted if the product has no PRODCOM mapping. `chart_data` carries the full-fidelity headline trade and top-partner/ top-reporter series for charting.

Net Import Reliance (NIR) = (Imports - Exports) / Apparent consumption, annual, joining PRODCOM production with Comext trade. E.g. 40% means 40% of EU consumption is met by imports; negative means the EU is a net exporter. Returns the NIR % series, its supply/disposition components, sibling-category/per-code comparisons, the resolved PRODCOM codes and availability notes (CN-to-PRODCOM mapping is not always 1:1; see the `self.notes` / `unavailability_type` fields in the response). Use `query.prodcom_code` to pin a specific mapping.

Headline figures: total import/export quantities, values and weighted-average prices per period, the trade balance, and a top-partner breakdown. The best first call for any new product/reporter slice.

Per-partner import/export breakdown. For each flow, the top-N trading partners ranked both by quantity and by value (so you can compare volume-based vs. value-based rankings), each with its own quantity, value and price time series, plus an optional 'Other' bucket.

Before/after trade-pattern shift around a split point (`query.midpoint`): for each entity, compares average quantity and price before vs. after, and returns scatter points (quantity-change % vs. price-change %) with quadrant labels -- top-right = demand-driven growth, top-left = supply constraint/monopoly risk, bottom-right = dumping/oversupply risk, bottom-left = market contraction. Suggested workflow: spot a shock date via get_supply_shocks / get_price_shocks first, then set it as `query.midpoint` here.

Detect sudden price regime shifts ("rapid price changes"), accounting for each flow's usual volatility so naturally volatile flows aren't over-flagged. Returns ranked shock events per flow with timeline phases (price spike/drop, volatile trade, return to baseline, ...), magnitude and series.

Sub-product comparison: for a single parent CN code, expands into its children (or, for a multi-code request, compares the entered codes directly) and returns per-subcode quantity/value/price series for both flows -- so each sub-product plots as its own line instead of being aggregated away. A leaf code with no children returns `leaf: true`.

Report-section helper ("Scope & definitions"): the resolved product code + label, a one-sentence caveat when the code bundles several sub-products (`has_subcodes`), the data-coverage window actually cached for it, and whether it has a usable PRODCOM mapping (gating the autonomy/vulnerability section). Deliberately thin -- no full CN hierarchy breadcrumb or sibling enumeration. Returns `{narrative_facts, chart_data, available, reason}` -- see `get_market_summary` for the shape this convention follows across all of this bridge's report-section helpers.

How concentrated production of a product is across all DS-059358 reporting countries (PRODCOM; EU member states plus EFTA/candidate/other reporters -- not only the EU-27). HHI of PRODVAL across countries over time, plus each country's production share. Suppressed/absent country figures come back as null, not zero. Use `query.prodcom_code` to pin a specific PRODCOM mapping.

EU27 and per-country PRODCOM production series: EU quantity, EU production unit value, and the same two per reporting country (all DS-059358 reporters, not just EU-27, since production data carries no trade columns). Country-level figures are heavily confidentiality -suppressed; suppressed/absent values come back as null, not zero. Use `query.prodcom_code` to pin a specific PRODCOM mapping when a CN code maps to several.

Every EU reporter ranked by value for one year -- the country-view counterpart of `get_reporter_detail`. Returns a single-year snapshot (every real EU member state's quantity, value and price per flow, ranked by value) plus a benchmark price time series: the EU-wide weighted average, the cross-reporter min/max envelope, and the selected reporter's own line when `query.reporter` is a single real member state. Use it to answer "how does this country compare to every other EU reporter?".

Per-EU-member-state import/export breakdown -- the reporter-side counterpart of `get_partner_detail`. Top-N member states (by quantity and by value) with their quantity, value and price series. Aggregate reporters (EU, Euro area, groups) are excluded from the ranking.

Intra-EU revealed symmetric comparative advantage (RSCA) per member state -- a Balassa index benchmarked against the EU instead of the world. Runs -1 (under-specialised) to +1 (strongly specialised), value -based and intra-EU only. Treat with caution: intra-EU flows are distorted by the Rotterdam/Antwerp quasi-transit effect.

EU27 sub-contracting intensity: the share of sold production that is toll (sub-contracted) manufacturing rather than own-account output. Returns intensity (%) across value/quantity, its component series, per-period data-quality status, resolved PRODCOM codes and availability notes. The own/sub split only exists from 2021 onward.

Per-country sub-contracting intensity (PRODCOM): for each reporting country, the share of its sold production that is toll manufacturing -- which countries act as processing hubs vs. autonomous producers. Spans all DS-059358 reporters that report the own/sub split; others simply don't appear. Country cells are heavily confidentiality-suppressed (null, not zero, when absent).

Return the Combined Nomenclature sub-tree rooted at `code` (its children, and their children, ...), each with a `code` and a `text` description. Use this to see whether a heading you're about to use (e.g. as `query.product` elsewhere) is actually a clean match, or bundles several distinct sub-products together.

Detect abnormal collapses in trade volumes ("sudden volume changes"). Flags periods where a partner/product pair's volume drops well below its historical average (>2 sigma by default). Returns ranked shock events per flow, each with timeline phases (baseline, decline, disruption, recovery, ...), magnitude, abnormality score and underlying series.

Just the ordered list of top entities for a slice -- no time series. A lightweight helper for populating entity pickers or quickly checking who the top partners/reporters are without pulling full series.

Trade Intensity (TI) = (Imports + Exports) / (Imports + Production), annual. Near 1 = highly trade-exposed sector; near 0 = predominantly domestic. Used in the Commission's CEEAG methodology for carbon-leakage / State-aid eligibility. Returns the TI series, its components, sibling-category/per-code comparisons, resolved PRODCOM codes and availability notes.

Coefficient-of-variation (CV = stdev / mean) volatility per partner/reporter x product pair, over inactive-period-excluded history. Higher CV = the flow swings more relative to its typical level. Returns per-entity CV bars (with drill-down series) and, unless include_heatmap=false, an entity x sub-product CV heatmap.

Report-section helper ("Volatility & shocks"): the entities analysed are picked by `get_volatility` (ranks by trade volume, reports each one's CV) and by `get_price_shocks`/`get_supply_shocks` at default parameters (both already scoped to top-value partners via `cumulative_share=0.8`) -- never re-picked from the shocks themselves. Retries shock detection once with loosened thresholds before concluding "no shocks"; an empty result is itself a reportable finding, not a gap. When shocks are found, the top events by abnormality and their series are the section's findings; when none are found (even after the retry), stability is the finding. `get_pattern_shift` is intentionally not part of this bundle -- its before/after quadrant framing is too easily misread; call it directly if you specifically need it. Returns `{narrative_facts, chart_data, available, reason}`.

Read this first for an in-depth report. Returns the long-report workflow: which of the 35+ tools to combine per angle (partners, concentration, volatility & shocks, autonomy), the dashboard menu/tab structure for pointing readers at views, and the methodological notes needed to interpret and cite figures correctly. Call this before guessing at tool use.

Read this first for a quick report. Returns the short-report workflow: resolve a product code, then call `get_full_report` for the five most important report sections in one shot -- enough for a quick, simple report. Also covers access/quota, the shared `query` object and the `compact` option.

Resolve a free-text query or CN code(s) into validated product code(s) with descriptions -- the recommended first step before using a code as `product` in any other tool's `query`. Saves the search -> validate -> (optional) subtree round-trip: a bare keyword runs a search, a single code (or comma-separated list) is validated and described directly. Tip: Comext/CN nomenclature is frequently coarser than a colloquial product name (e.g. there is no code for "glass jars" alone -- only heading 7010, which bundles jars with bottles, flasks and closures). Check `has_subcodes` and, if useful, set `include_children=true` to see whether a finer sub-code is actually a better match before committing to one code for a whole report.

Keyword/code search over the Combined Nomenclature (or PRODCOM). Returns ranked `{code, label, path}` candidates. Prefer `resolve_product_code` for a one-call keyword-or-code helper; use this directly if you specifically want the raw ranked candidate list.

Validate and describe one or more Combined Nomenclature codes. For a single code, returns the full hierarchy of description levels (`levels`), the resolved `product_name`, and `has_subcodes`. For a comma-separated list, returns `{"results": [...]}` with one entry per code (each either a success dict or an `{"code", "error"}` pair).