HaitiDocs

Filter, total and group the partner portfolio's operations with the parameters of the site's project browser: partner, agency, kind, instrument, stage, sector, dept, start_from, start_to, close_from, close_to, min, max, budget, type, extended, restructured, cerc, q, fy, family, group, sort, page, per, year_basis. Totals count funding partners and state how many operations report each figure.

Retrieve a resource by id from search, or 'catalog:indicators' for a compact list of every data series. Returns title, human-readable text, url, and metadata (source attribution, license, freshness, citation) for display or full read. For a document, pass 'query' to get the passages of the body most relevant to your question; 'max_chars' bounds the returned text. For an indicator, 'component', 'line_item', 'scope', 'source_id', 'measure', and 'frequency' return a specific slice of the series (e.g. one component, one fiscal-table line, or one source) instead of the headline; the valid codes for each are listed in the indicator's 'facets'. 'filters' takes any other facet by name, e.g. {"bank": "..."} or {"admin1": "..."}. The source attribution and citation in the response can be used to ground a brief or note.

Retrieve several resources at once by passing a list of ids (bounded). Prefer this over repeated single fetch calls when you need more than one resource. Returns the same shape as fetch for each resolved id.

Return the GeoJSON CONTENT of a map layer for rendering or spatial analysis. Use this when you need to display or analyse the actual layer data and cannot fetch the URL directly (e.g. in a Python sandbox without external DNS access). Large layers are automatically sampled and coordinate-rounded to a safe payload size; the response includes a 'note' describing any sampling and the full-fidelity 'download_url' for the complete layer. Optional 'bbox' ([min_lon, min_lat, max_lon, max_lat]) pre-filters features to an area of interest before the feature cap is applied, giving higher spatial detail for a sub-region. Optional 'max_features' (default 6000) sets the cap. This tool complements 'fetch', which returns metadata and a URL without content.

List the structured fiscal datasets: budget and execution lines extracted from the budget books and unified across years, with their fiscal years, stages, versions, components, currency, quality notes and a summary of the reconciliation checks. Call this first, then fiscal_query.

Reconciliation checks that came with a fiscal dataset: a printed total against the sum of its parts, with the difference and a note where the source book is known to disagree with itself. Filter by dataset, status (pass, fail, not_testable), scope (a department name or code) and version.

Query budget and execution lines. Filters: dataset, entity_code, entity_contains, programme_code, project_code, object_code, object_contains, economic_class, sector_code, component, grain, stage, measure, version_id, fiscal_year, fy_end, fy_from, fy_to, in_total (true, false or any), label_contains, and dims.<name> for source columns with no core field. 'group_by' sums by up to five fields (for example entity_code and fy_end). Every row carries its source page, table and row, and amounts are in the dataset's currency as printed. Add amounts only inside one component, grain, stage, measure and version: the response lists any cut a sum mixes in 'warnings'. 'limit' is at most 200.

Retrieve the document passages most relevant to a query, drawn from the full text across the public library (or within one 'doc_id'). Each passage carries its source citation and link. Use this as the primary tool to gather sourced excerpts to ground or draft a brief or note: the returned passages are cited and ready to weave into prose. CITE BY NUMBER, ONE NUMBER PER DOCUMENT: mark each claim with a bracketed number, reuse that same number for every claim drawn from the same document, and list the sources once at the end of the answer, numbered, each with its 'citation_key' and url. Do not repeat a document's full title inline.

Enumerate the public document library with paging and facet counts (by year and document type). Optional 'filters' (organization, doc_type, year_from, year_to, topic, language, query). Use it to sweep every source on a theme.

Search Haiti's public knowledge and data library: curated economic indicators, map layers, documents, World Bank projects, and news. Returns a ranked list with id, title, and url; pass the id to fetch or get_passages. Use this to scan what exists on a topic before grounding with get_passages or opening a full resource with fetch. Search with the few words that name the subject ('tax revenue', not the whole question), with no filters first. To find a data series, fetch 'catalog:indicators', which lists every series. Each hit carries 'match', the share of the query's words it matches (0 to 1, rarer words weighing more), and a hit inside a series carries the 'filters' that select it. Optional 'filters': 'types' (any of: doc, indicator, map_layer, project, development), organization, doc_type, year_from, year_to, topic, language; plus 'offset' (paging) narrow and page the results. 'sort': 'newest' orders the same matches by date, newest first: use it, with types ['development'], for what happened recently.