Sugra Research direction

Scholarly and development data - from this morning's preprints to a century of growth statistics.

Sugra Research covers the scholarly record and long-run development data: arXiv preprints, Crossref DOI metadata, NBER working papers and recession dates, the Maddison Project's two millennia of GDP history, the Penn World Table productivity panel, and global development indicators from WHO, the UN, ILO, FAO and Our World in Data. Every upstream is an academic project or an intergovernmental organization, so all sources are named openly. Responses share the standard data + meta envelope; meta.source identifies the upstream on every call.

What data lives here

API Reference category	Endpoints	Coverage
Research	34	The core `/api/v1/research` surface: arXiv preprint search, papers and categories (7), Crossref works, journals, funders, references and citations (10), NBER working papers and US recession dates (2), Maddison Project long-run GDP and population (7), Penn World Table growth and productivity panel (8)
Health	10	WHO Global Health Observatory: indicator catalog, country data with sex, age and region filters, latest values and country rankings

Development data also lives as named slices inside adjacent categories: Our World in Data composites (10, Economics), UN Population DESA projections and demographics (10, Statistical Agencies), ILOSTAT labor statistics (14, Statistical Agencies), UN SDG goals, targets and series (10, Global Economy & Trade) and FAOSTAT agriculture and food security (12, Commodities).

US legislative and spending records - Congress.gov bills, laws, members, hearings and USAspending - sit in the Public Finance & Government category under Sugra Macro; they pair naturally with this direction for policy research. Counts reflect the live catalog as of 2026-07-18.

Flagship endpoints

arXiv preprint search

GET /api/v1/research/arxiv/search runs a fielded search across arXiv preprints. Filter with q, cat, author, title or a from_date/to_date window.

Response (truncated):

{
  "data": {
    "query": "all:\"agentic reasoning\"",
    "papers": [
      {
        "arxiv_id": "2601.12538",
        "title": "Agentic Reasoning for Large Language Models",
        "primary_category": "cs.AI",
        "published": "2026-01-18T18:58:23Z",
        "urls": {"pdf": "https://arxiv.org/pdf/2601.12538v1"}
      }
    ],
    "pagination": {"total_results": 674, "limit": 1}
  },
  "meta": {"endpoint": "/api/v1/research/arxiv/search", "source": "arxiv"}
}

/api/v1/research/arxiv/latest returns recent papers in a category, and /api/v1/research/arxiv/paper/{arxiv_id} fetches one paper by identifier.

Crossref DOI metadata

GET /api/v1/research/crossref/works/{doi} resolves any DOI to full scholarly metadata: title, venue, authors, license and citation counts.

Response (truncated):

{
  "data": {
    "work": {
      "DOI": "10.1038/s41586-021-03819-2",
      "type": "journal-article",
      "title": ["Highly accurate protein structure prediction with AlphaFold"],
      "container-title": ["Nature"],
      "published-print": {"date-parts": [[2021, 8, 26]]},
      "reference-count": 84,
      "is-referenced-by-count": 43030,
      "author": [{"given": "John", "family": "Jumper", "sequence": "first"}]
    }
  },
  "meta": {"source": "crossref"}
}

/references/{doi} lists the works a DOI cites and /citations/{doi} the works citing it, which is enough to walk a citation graph.

Maddison long-run GDP

GET /api/v1/research/maddison/country/{iso3} returns GDP per capita and population for one country across the full Maddison Project range - for Japan, 776 observations from year 1 to 2022.

Response (truncated):

{
  "data": {
    "iso3": "JPN",
    "country": "Japan",
    "count": 776,
    "observations": [
      {"year": 1, "gdppc": null, "pop": 3000.0},
      {"year": 2022, "gdppc": 38268.788301490815, "pop": 124762.11}
    ]
  },
  "meta": {"source": "maddison"}
}

/world, /regional and /top aggregate the same panel; /definitions carries methodology and the citation policy.

Penn World Table rankings

GET /api/v1/research/pwt/top ranks countries by any Penn World Table variable for a year. The same panel backs /country/{iso3}, /compare, /world and the /tfp-panel productivity series.

Response:

{
  "data": {
    "version": "pwt1100",
    "variable": "rgdpo",
    "description": "Output-side real GDP at chained PPPs (in mil. 2021US$)",
    "year": 2019,
    "ranking": [
      {"rank": 1, "countrycode": "CHN", "country": "China", "value": 25585278.0},
      {"rank": 2, "countrycode": "USA", "country": "United States", "value": 22896074.0},
      {"rank": 3, "countrycode": "IND", "country": "India", "value": 10489483.0}
    ],
    "attribution": "Penn World Table (Feenstra, Inklaar & Timmer, University of Groningen, CC BY 4.0)."
  },
  "meta": {"endpoint": "/api/v1/research/pwt/top", "source": "pwt"}
}

Typical workflows

AI agents grounding literature claims: search preprints by topic or author, resolve DOIs to authoritative metadata, walk references and citations, and cite meta.source and the per-dataset attribution field instead of relying on model memory.

Economic research and teaching: join Maddison and Penn World Table long-run panels with current official statistics from Sugra Macro to place today's prints in a century of context.

Development analytics: build country scorecards from SDG series, WHO health indicators, ILOSTAT labor data, FAOSTAT food security and UN population projections in one key.

Where to go next

Sources: the Sugra Research sources page lists every upstream project and organization with tier and license.

API Reference: the sidebar categories Research and Health document every endpoint with parameters and schemas; the development-data slices live under Economics, Statistical Agencies, Global Economy & Trade and Commodities.

Quickstart covers authentication, the response envelope and rate-limit headers.

Sugra Research direction

What data lives here#

Flagship endpoints#

arXiv preprint search#

Crossref DOI metadata#

Maddison long-run GDP#

Penn World Table rankings#

Typical workflows#

Where to go next#

What data lives here

Flagship endpoints

arXiv preprint search

Crossref DOI metadata

Maddison long-run GDP

Penn World Table rankings

Typical workflows

Where to go next