{"data":{"airports":{"sources":[{"url":"https://ourairports.com/data/","name":"OurAirports"}],"data_as_of":"2026-11-01","coverage":"snapshot of the community-maintained list","loaded_on":"2026-11-01","refresh":"static snapshot (source changes daily; refresh planned)","license":"Public domain","known_limits":"Small airfields and heliports include duplicates marked \"[Duplicate]\" by the source."},"colors":{"sources":[{"url":"https://github.com/meodai/color-name-list","name":"color-name-list (meodai)"}],"data_as_of":"2026-11-01","coverage":"30,242 names","loaded_on":"2026-11-01","refresh":"static snapshot","license":"MIT","known_limits":null},"conflict":{"sources":[{"url":"https://ucdp.uu.se/downloads/","name":"UCDP Georeferenced Event Dataset"}],"data_as_of":"2025-12-31","coverage":"events 1989-2025, aggregated by country and admin1 per year","loaded_on":"2026-11-01","refresh":"yearly (UCDP releases once a year)","license":"CC BY 4.0","known_limits":"Region totals include events only located to country precision, which inflates some regions."},"japan":{"sources":[{"url":"https://www.nstac.go.jp/use/literacy/ssdse/","name":"SSDSE (Statistics Center)"},{"url":"https://www.data.go.jp/","name":"Government of Japan open data (MIC, MHLW, MAFF, MLIT)"}],"data_as_of":null,"coverage":"1,741 municipalities, 122 indicators; years 2008 onward, some indicators are official projections up to 2070 (check the year field)","loaded_on":"2026-11-01","refresh":"static snapshot","license":"CC BY 4.0 compatible (Government of Japan Standard Terms of Use 2.0)","known_limits":"Each indicator has its own year; compare within one year."},"languages":{"sources":[{"url":"https://glottolog.org","name":"Glottolog 5"}],"data_as_of":null,"coverage":"8,120 languages","loaded_on":"2026-11-01","refresh":"static snapshot","license":"CC BY 4.0","known_limits":"Exact Glottolog minor version not recorded."},"licenses":{"sources":[{"url":"https://spdx.org/licenses/","name":"SPDX License List"}],"data_as_of":"2026-11-01","coverage":"740 licences","loaded_on":"2026-11-01","refresh":"static snapshot","license":"CC0","known_limits":null},"markets":{"sources":[{"url":"https://docs.overturemaps.org/","name":"Overture Maps places"},{"url":"https://www.naturalearthdata.com/","name":"Natural Earth"}],"data_as_of":"2026-10-21","coverage":"137,975 places in 207 countries (release 2026-10-21.0)","loaded_on":"2026-11-01","refresh":"monthly (Overture releases monthly; refresh planned)","license":"CDLA-Permissive-2.0 / Apache-2.0; Natural Earth public domain","known_limits":"Coverage is thin in some countries (e.g. China); /gaps shows where."},"platforms":{"sources":[{"url":"https://www.wikidata.org","name":"Wikidata"}],"data_as_of":null,"coverage":"5,001 platforms","loaded_on":"2026-11-01","refresh":"static snapshot","license":"CC0","known_limits":"Wikidata snapshot date not recorded."},"regions":{"sources":[{"url":"https://www.naturalearthdata.com/","name":"Natural Earth admin-1"},{"url":"https://glad.umd.edu/","name":"Hansen GFC v1.12, GLAD GLCLU v2, JRC GSW v1.4, JRC GHSL R2023A, SoilGrids 2.0"}],"data_as_of":null,"coverage":"4,596 regions; land indicators 2000-2020 and forest loss since 2001","loaded_on":"2026-11-01","refresh":"static","license":"Public domain (boundaries); CC BY 4.0 (indicators)","known_limits":"Population growth figures can be extreme where the 2000 baseline is small."},"units":{"sources":[{"url":"https://qudt.org","name":"QUDT"},{"url":"https://physics.nist.gov/cuu/Constants/","name":"CODATA 2022 / NIST"}],"data_as_of":"2024-05-09","coverage":"2,932 units, 355 constants (CODATA 2022), 3,352 isotopes","loaded_on":"2026-11-01","refresh":"static","license":"CC BY 4.0 (QUDT); US government work (NIST)","known_limits":"QUDT version not recorded; the date is the CODATA 2022 release."},"power":{"sources":[{"url":"https://datasets.wri.org/dataset/globalpowerplantdatabase","name":"WRI Global Power Plant Database v1.3.0"}],"data_as_of":"2021-06-01","coverage":"34,936 plants; v1.3.0 released June 2021; commissioning years up to 2020","loaded_on":"2026-11-01","refresh":"none (source no longer updated)","license":"CC BY 4.0","known_limits":"Source frozen in 2021: plants built after 2020 are missing."},"exchanges":{"sources":[{"url":"https://www.iso20022.org/market-identifier-codes","name":"ISO 10383 Market Identifier Codes"}],"data_as_of":null,"coverage":"2,883 MIC entries","loaded_on":"2026-11-01","refresh":"static snapshot (ISO publishes monthly)","license":"ISO 10383 public list","known_limits":"Snapshot date of the MIC list not recorded; ISO updates the list monthly."},"orgs":{"sources":[{"url":"https://openalex.org","name":"OpenAlex"},{"url":"https://www.irs.gov/charities-non-profits/exempt-organizations-business-master-file-extract-eo-bmf","name":"IRS Exempt Organizations Business Master File"}],"data_as_of":"2026-10-14","coverage":"195,967 OpenAlex organisations (snapshot 2026-10-14) + 606,825 US nonprofits","loaded_on":"2026-11-01","refresh":"static snapshot","license":"CC0 (OpenAlex); US government work (IRS)","known_limits":"Organisation form is inferred from the name. OpenAlex coverage follows scholarly records. /nonprofits covers US tax-exempt organisations only (IRS EO BMF eo1-4 as fetched 2026-11-01, 606,825 rows); care-of names and street addresses are dropped on purpose; NTEE cause is missing for about 196,000 rows; revenue and assets are the latest filed figures."},"rising":{"sources":[{"url":"https://huggingface.co/datasets/Lilambd/world-signals","name":"world-signals (Lilambd)"},{"url":"https://www.gdeltproject.org/","name":"GDELT 2.0"},{"url":"https://github.com/npm/registry/blob/main/docs/download-counts.md","name":"npm registry download counts"},{"url":"https://huggingface.co","name":"Hugging Face Hub"},{"url":"https://github.com","name":"GitHub search"}],"data_as_of":null,"coverage":"one computed day per world-signals day; compares with the previous measured day","loaded_on":"2026-11-01","refresh":"daily (when world-signals updates)","license":"Derived counts; cite GDELT Project; npm/HF/GitHub public metadata","known_limits":"Gaps in world-signals (e.g. 10/22-10/31) mean the first day after a gap compares across the gap. Google Trends, Apple Podcasts and Steam parts of world-signals are excluded here."},"koyomi":{"sources":[{"name":"astronomy-engine (computed)","license":"MIT"},{"name":"date-holidays","license":"CC BY-SA 3.0"},{"name":"helplines: official pages, source_url per row"}],"data_as_of":null,"coverage":"Calendars computed for 1900-2100 any place; holidays for countries in date-holidays; helplines for listed countries","loaded_on":"2026-11-01","refresh":"computed on request; holidays and helplines when updated","license":"Computed values CC0; holidays CC BY-SA 3.0 (date-holidays); helplines facts with source_url","known_limits":"Observational Hijri months may differ by a day locally; helplines checked on verified_on date; not advice. Crisis: /koyomi/helplines first, always free."},"local-markets":{"sources":[{"url":"https://overturemaps.org","name":"Overture Maps Foundation places","licence":"CDLA-Permissive-2.0","release":"2026-10-21.0"},{"url":"https://www.naturalearthdata.com","name":"Natural Earth populated places","licence":"public domain"}],"data_as_of":"2026-10-21","coverage":"137,975 market places worldwide; 58,804 regional or remote","loaded_on":"2026-11-01","refresh":"with each Overture release","license":"CDLA-Permissive-2.0 (places); locality values CC0","known_limits":"Overture under-records China and much of Africa; locality is distance to the nearest Natural Earth city (3,089 cities), not an official rural classification; farmers_market can include farm shops."},"kinds":{"sources":[{"url":"https://www.wikidata.org","name":"Wikidata","query":"P1762 Hornbostel-Sachs, P186 made from material, P279 subclass of, Q287 wood, Q37756 alloy, Q11344 element","licence":"CC0-1.0"}],"data_as_of":"2026-11-01","coverage":"musical instruments 2,392; woods 504; alloys 285; elements 174; instrument materials 41; links made_from 698, subclass_of 3,262","loaded_on":"2026-11-01","refresh":"monthly","license":"CC0-1.0","known_limits":"Only what Wikidata records: many instruments lack materials or a Japanese name (591 of 2,392 have one); made_from is sparse; popularity = Wikipedia sitelinks count, which favours well-known Western instruments."},"travel-meds":{"sources":[{"url":"see source_url on every row","name":"Government pages per country (MHLW, HSA, GOV.UK, FDA, Thai FDA/embassy, Shanghai gov, Korea MFDS via MOFA, BfArM)"}],"data_as_of":"2026-11-01","coverage":"9 countries (JP, SG, GB, US, TH, CN, KR, DE/Schengen, AE), 19 rows","loaded_on":"2026-11-01","refresh":"weekly recheck of source pages","license":"facts from public government pages; Lilambd shaping CC BY 4.0","known_limits":"v0: 9 countries. AE row is from a 2018 news article citing MOHAP (official page blocks automated reading). Australia not yet (TGA blocks automated reading). Not medical or legal advice; rules change, check the cited page before travel."},"security":{"sources":[{"url":"https://www.cisa.gov/known-exploited-vulnerabilities-catalog","name":"CISA Known Exploited Vulnerabilities","licence":"US Government work (public domain)"},{"url":"https://www.first.org/epss","name":"FIRST EPSS","licence":"free use with attribution"},{"url":"https://nvd.nist.gov/developers/vulnerabilities","name":"NVD CVE API 2.0","licence":"public domain; not endorsed by NVD"},{"url":"https://haveibeenpwned.com/api/v3/breaches","name":"Have I Been Pwned breaches","licence":"CC BY 4.0"},{"url":"https://lilambd.com","name":"Lilambd JP disclosure ledger v0.2","licence":"CC BY 4.0"}],"data_as_of":"2026-11-01","coverage":"KEV 1,766 exploited CVEs; EPSS 398,784 CVEs; NVD 417,673 CVEs (full history 1988-, refreshed every 2h); breaches: HIBP 934 + Japan disclosures 55; incidents ~7,200 (SEC 8-K Item 1.05, Washington and California AG notices, CISA/JPCERT/IPA advisories)","loaded_on":"2026-11-01","refresh":"KEV every 4h, NVD every 2h, EPSS daily, HIBP daily","license":"per source, see sources; attribution in every response","known_limits":"Organisation-level only, no personal records. No phishing URL feed yet (licences). JVN offline until late Nov 2026. Vendor matching by KEV names and NVD CPE strings."},"exposure":{"sources":[{"url":"https://www.cisa.gov/known-exploited-vulnerabilities-catalog","name":"CISA KEV","licence":"public domain"},{"url":"https://www.first.org/epss","name":"FIRST EPSS","licence":"free use with attribution"},{"url":"https://nvd.nist.gov","name":"NVD","licence":"public domain"},{"url":"https://haveibeenpwned.com","name":"Have I Been Pwned","licence":"CC BY 4.0"},{"url":"https://lilambd.com","name":"Lilambd JP disclosure ledger","licence":"CC BY 4.0"},{"url":"https://crt.sh","name":"crt.sh Certificate Transparency","licence":"public CT log data"}],"data_as_of":"2026-11-01","coverage":"any domain or vendor/product stack; breach history for 989 organisations; ~7,000 regulator-reported incidents by organisation name; all 1,766 KEV CVEs; NVD 417,673 CVEs","loaded_on":"2026-11-01","refresh":"computed live on every call from ledgers refreshed every 2-24h","license":"per source; attribution in every response","known_limits":"A brief is facts plus a ranking, not an audit. Stack matching by vendor/product names. Lookalike scan depends on crt.sh answering within 7 s (state shown). Breach history only where HIBP or the JP ledger has a record."},"pet-entry":{"sources":[{"url":"see source_url on every row","name":"Government pages per destination (MAFF AQS Japan, GOV.UK, European Commission DG SANTE, US CDC, NParks AVS Singapore)"}],"data_as_of":"2026-11-01","coverage":"5 destinations (JP, GB, EU, US, SG), 11 routes; origin lists: Japan designated regions, Singapore Schedule I, CDC 110 high-risk countries","loaded_on":"2026-11-01","refresh":"weekly recheck of source pages","license":"facts from public government pages; Lilambd shaping CC BY 4.0","known_limits":"v0: 5 destinations. Australia not yet (site blocks automated reading). EU Annex I-II list and Singapore Schedule II list not loaded, so those answers return both possible routes. GB blood-test country list not on the main page. lead_days_from_scratch is computed by Lilambd. Not veterinary or legal advice."},"agents":{"sources":[{"url":"https://docs.cdp.coinbase.com/x402","name":"x402 Bazaar discovery API (Coinbase CDP)"},{"url":"https://registry.modelcontextprotocol.io","name":"Official MCP Registry"},{"url":"https://huggingface.co","name":"Hugging Face Hub"},{"url":"https://www.npmjs.com","name":"npm registry"},{"url":"https://github.com","name":"GitHub search"}],"data_as_of":"2026-11-03","coverage":"about 92,700 mainnet x402 endpoints on 3,260 hosts; 50,000 MCP Registry servers; HF top 100 models/datasets/Spaces; npm/GitHub counters","loaded_on":"2026-11-03","refresh":"x402 every 5 minutes until a day is complete, MCP every 20 minutes, HF and counters daily; product view refreshed hourly","license":"Facts measured by Lilambd; listing texts belong to their publishers","known_limits":"History starts 2026-11-02. Categories come from keywords and can be wrong; about 60% of endpoints fall in other. MCP first_seen is the census day or the version publish date, not a true birth date for servers seen on the first day. Prices in USD only for USDC on Base, Base Sepolia and Solana."},"science":{"sources":[{"url":"https://openalex.org","name":"OpenAlex works snapshot 2026-10-14"},{"url":"https://www.naturalearthdata.com","name":"Natural Earth (population)"}],"data_as_of":"2026-10-14","coverage":"all 464,765,485 OpenAlex works: 18,007 country-years, 3,429 field-years, 8,716 rising subfield-country pairs, 252 subfields","loaded_on":"2026-11-03","refresh":"monthly (rebuild script in HF Lilambd/world-science)","license":"CC0 (OpenAlex)","known_limits":"Compare papers only: dataset records are inflated by mass registration (about 18M 2025 datasets carry a Japanese affiliation). XX = no affiliation country (4.3M papers in 2025). Records added before 2025-11 cannot be dated by month."},"world-cities":{"sources":[{"name":"Overture Maps divisions/transportation/land_use 2026-10-21.0","licence":"ODbL 1.0"},{"name":"GHSL GHS-POP/SMOD/BUILT-S R2023A, built greenness R2025A","licence":"CC BY 4.0"},{"name":"NOAA GHCN-Daily 1991-2020","licence":"Public domain"},{"name":"OurAirports","licence":"Public domain"},{"name":"Natural Earth ports","licence":"Public domain"},{"name":"AWS Terrain Tiles","licence":"open"}],"data_as_of":"2026-11-03","coverage":"6,902 cities (pop>=100k as tagged in OSM/Overture), 176 countries; climate 56%, admin polygon 41%","loaded_on":null,"refresh":"monthly (Overture release + airports); HF Lilambd/world-cities -> edge function world-cities-load","license":"ODbL 1.0","known_limits":"population_reported is the OSM tag (definitions vary); GHS-POP is modelled; admin polygons sometimes wrong (flag column); climate only where a GHCN station is within 50 km; OSM mapping depth varies; ports = Natural Earth 1,081 only; no sister cities yet"},"world-food":{"sources":[{"via":"PyPI agrifoodpy_data 0.1.0","name":"FAOSTAT Food Balance Sheets"},{"via":"R Recocrop 0.4-2","name":"FAO ECOCROP"},{"name":"USDA SR28"},{"name":"BLS 4.0 (Max Rubner-Institut)"}],"data_as_of":"2020-12-31","coverage":"184 countries x 2020 summary; FBS full 1961-2020 on files","loaded_on":"2026-11-03","refresh":"yearly (FAO FBS release)","license":"FAOSTAT terms (confirm CC BY 4.0 vs NC); ECOCROP via GPL package; SR28 public domain","known_limits":"kcal derived = food x density / pop / 365 (about 1% off FAO totals); FBS method break 2013/2014; crop-level QCL 2021-2024 and Wikidata dishes not yet loaded"},"jp-health":{"sources":[{"url":"https://www.mhlw.go.jp/","name":"MHLW DPC impact evaluation survey (discharge-patient survey) FY2024"},{"url":"https://dashboard.e-stat.go.jp/","name":"Statistics Bureau of Japan, Statistics Dashboard (e-Stat)"},{"url":"https://huggingface.co/datasets/Lilambd/japan-dpc-hospitals","name":"Lilambd/japan-dpc-hospitals (Hugging Face, CC BY 4.0)"},{"url":"https://huggingface.co/datasets/Lilambd/japan-prefecture-facts","name":"Lilambd/japan-prefecture-facts (Hugging Face, CC BY 4.0)"}],"data_as_of":"2025-03-31","coverage":"Japan: 4,414 DPC-survey hospitals in 47 prefectures and 1,275 municipality codes; MDC breakdown for the 100 largest hospitals; 564 prefecture facts in 12 topics","loaded_on":"2026-11-03","refresh":"static; reload when MHLW publishes the next DPC survey year","license":"Government of Japan Standard Terms of Use 2.0 (CC BY 4.0 compatible) for MHLW and e-Stat data; compilation by Lilambd CC BY 4.0","known_limits":"MDC case breakdown only for the 100 largest hospitals; no hospital coordinates (no nearby search); names in Japanese only (no English or romanised names in the source); 281 hospitals without bed count; no population so no per-capita figures; facts mostly 2024, job ratio 2026-07; values as published."},"climate":{"sources":[{"id":"S1","url":"https://power.larc.nasa.gov","name":"NASA POWER v10 MERRA-2 monthly grid"},{"id":"S2","url":"https://power.larc.nasa.gov","name":"NASA POWER v10 CERES SYN1deg monthly grid"},{"id":"S3","url":"https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily","name":"NOAA GHCN-Daily v3.35"},{"id":"S4","url":"https://www.naturalearthdata.com","name":"Natural Earth admin boundaries"},{"id":"S5","url":"https://ghsl.jrc.ec.europa.eu","name":"JRC GHS-POP 2020 (population weights)"}],"data_as_of":"2026-09-30","coverage":"238 countries/territories, area- and population-weighted; 1991-2020 monthly normals, Koppen shares, 1981-2025 trend, station check","loaded_on":"2026-11-03","refresh":"monthly (new NASA POWER month)","license":"CC BY 4.0 (Lilambd); sources NASA/NOAA public domain, GHS-POP CC BY 4.0","known_limits":"Grid ~50 km smooths mountains/coasts; median grid-minus-station bias -0.42 C at 8,070 stations; grid under-states warming in South Asia - see trend_check. Unknown = not recorded."},"hazard":{"sources":[{"url":"https://huggingface.co/datasets/Lilambd/world-hazard","name":"Lilambd World Hazard Ledger (Hugging Face)"},{"url":"https://earthquake.usgs.gov/fdsnws/event/1/","name":"USGS ComCat earthquake catalogue"},{"url":"https://www.ngdc.noaa.gov/hazard/","name":"NOAA NCEI Global Historical Hazard Database (significant earthquakes, tsunamis, volcanoes)"},{"url":"https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-monthly","name":"NOAA NCEI GHCN-Monthly v4"},{"url":"https://www.naturalearthdata.com/","name":"Natural Earth 10m admin-1"},{"url":"https://www.oecd.org/regional/regional-statistics/","name":"OECD regional statistics"},{"url":"https://datacatalog.worldbank.org/","name":"World Bank subnational population"},{"url":"https://www.geonames.org/","name":"GeoNames"}],"data_as_of":"2026-11-01","coverage":"4,596 admin-1 regions in 241 countries; 852 regions with M6+ since 1900; 1,240 regions with station warming; 5,924 GHCN-M v4 stations; 10,738 significant earthquakes, tsunamis and eruptions (NOAA NCEI); 41 joint-exposure regions; yearly anomaly 1951-2025","loaded_on":"2026-11-03","refresh":"static snapshot; reload when the Hugging Face shelf is updated","license":"Derived tables CC BY 4.0 (Lilambd); sources public domain (USGS, NOAA NCEI, Natural Earth, US Census) and CC BY 4.0 (OECD, World Bank, GeoNames)","known_limits":"No region boundaries: place-risk picks the region of the nearest station within 30 km, else the nearest region centroid. No row for quakes = no M6+ within 1.5 deg since 1900; no warming = no station record, not no warming. 60 ISO 3166-2 codes are shared by several Natural Earth regions (e.g. PH-MNL); lookup returns the largest, use a1 ids for the rest. Some Natural Earth local names are wrong. Populations come from several sources and years; 332 regions have none. Raw M4.5+ quake list (313k rows, .csv.gz) not loaded."},"sound":{"sources":[{"url":"https://github.com/theglobaljukebox","name":"The Global Jukebox"},{"url":"https://github.com/D-PLACE/dplace-cldf","name":"D-PLACE CCMC (Natural History of Song 2)"},{"url":"https://github.com/modavis/mimo","name":"MIMO Musical Instrument Museums Online"}],"data_as_of":"2026-11-02","coverage":"1,466 societies; 1,780 instruments; 643 Hornbostel-Sachs classes; 2,724 instrument names in 12 languages; 776 ensembles; 5,776 songs; 700 genres; 1,575 sound sources; 1,007 song functions; 37 Cantometrics axes (216 codes) with 37,845 society values","loaded_on":"2026-11-03","refresh":"static snapshot","license":"The Global Jukebox and D-PLACE CCMC: CC BY 4.0; MIMO: CC0; compilation CC BY 4.0 Lilambd","known_limits":"Coverage follows the research archives, so some regions have few societies. Performer and recorder names are left out. Scala tunings and secondary lists are excluded (licence unclear). Society coordinates are archive centroids. /styles needs society_id or var_id."},"pulse":{"sources":[{"url":"https://huggingface.co/datasets/Lilambd/world-pulse-daily","name":"World Pulse Daily Census (Lilambd)"},{"url":"https://arxiv.org/help/api","name":"arXiv API"},{"url":"https://api.crossref.org","name":"Crossref REST API"},{"url":"https://developers.zenodo.org","name":"Zenodo REST API"},{"url":"https://wikimedia.org/api/rest_v1/","name":"Wikimedia Action and Pageviews APIs"},{"url":"https://www.ecb.europa.eu/stats/policy_and_exchange_rates/euro_reference_exchange_rates/html/index.en.html","name":"ECB euro reference rates"},{"url":"https://stablecoins.llama.fi","name":"DefiLlama stablecoins API"},{"url":"https://docs.github.com/en/rest/search","name":"GitHub REST search API"},{"url":"https://pypistats.org","name":"npm downloads API and pypistats.org"},{"url":"https://huggingface.co/papers","name":"Hugging Face Daily Papers"},{"url":"https://api.stackexchange.com","name":"Stack Exchange API (CC BY-SA)"},{"url":"https://crates.io/data-access","name":"crates.io API"}],"data_as_of":"2026-11-03","coverage":"13 feeds, 2,994 rows per day, daily since 2026-11-03","loaded_on":"2026-11-03","refresh":"daily from the HF shelf (pushed ~05:45 UTC) via api_pub.pl_load_day","license":"Census CC BY-SA 4.0 (Lilambd); sources CC0 / CC BY-SA / ECB reuse with source / public API facts","known_limits":"History starts 2026-11-03, so changes appear from the second day; App Store, Hacker News and Docker Hub feeds excluded; GitHub top repositories excluded (owner usernames), counts only; a missing day means the census did not run"},"prices":{"sources":[{"url":"https://www.worldbank.org/en/research/commodity-markets","name":"World Bank Commodity Price Data (Pink Sheet)"},{"url":"https://www.worldbank.org/en/research/brief/inflation-database","name":"World Bank Global Database of Inflation"},{"url":"https://ec.europa.eu/eurostat/web/energy/database","name":"Eurostat household energy prices (nrg_pc_202, nrg_pc_204)"},{"url":"https://www.eia.gov/state/seds/","name":"US EIA State Energy Data System"},{"url":"https://huggingface.co/datasets/Lilambd/world-prices","name":"Lilambd World Prices Long Record"}],"data_as_of":"2026-11-02","coverage":"70 commodity prices and 16 indices monthly 1960-01 to 2026-08; headline, food and energy CPI for 186 countries monthly 1970 to 2025-03; Eurostat household electricity and gas yearly (about 40 European countries); EIA residential energy prices for 50 US states and DC yearly to 2024","loaded_on":"2026-11-03","refresh":"manual, with the Hugging Face shelf (commodities monthly, inflation database when the World Bank updates)","license":"CC BY 4.0 (World Bank, Eurostat); public domain (US EIA)","known_limits":"CPI values are index levels with country-specific base years, compare changes only; World Bank inflation database monthly only to 2025-03; commodity prices are world benchmarks, not local retail prices; some countries (e.g. Australia) have no monthly CPI; Kosovo appears in Eurostat data only"},"rivers":{"sources":[{"url":"https://docs.overturemaps.org/","name":"Overture Maps 2026-10-21.0 base/water, base/infrastructure, divisions (OpenStreetMap)"},{"url":"https://dataforgood.facebook.com/dfg/tools/high-resolution-population-density-maps","name":"Meta/CIESIN High Resolution Settlement Layer"}],"data_as_of":"2026-10-21","coverage":"DB v0: 40 longest named rivers (main stem 1,696-5,166 km). Full ledger: 13,293 named rivers >= 100 km, 307,200 tributary links, river x country km (files, HF Lilambd/world-rivers).","loaded_on":"2026-11-03","refresh":"monthly with Overture releases (planned)","license":"ODbL 1.0 (derived from OpenStreetMap); population CC BY 4.0","known_limits":"Unit = OSM-named river reach: rivers that change name (Danube, Nile, Amazon) are several rows linked by flows_into_id/system_root_id. No basin area or discharge in v0. HRSL has no or partial population for RU, CN, CA, AU, IR, UA and 11 more. Dams = OSM-mapped features within ~150 m."},"land":{"sources":[{"url":"https://huggingface.co/datasets/Lilambd/world-earth","name":"Lilambd World Earth Surface Ledger (Hugging Face)"},{"url":"https://huggingface.co/datasets/Lilambd/world-ground","name":"Lilambd World Ground Ledger (Hugging Face)"},{"url":"https://storage.googleapis.com/earthenginepartners-hansen/GFC-2025-v1.13/download.html","name":"Hansen/UMD/Google/USGS/NASA Global Forest Change GFC-2025-v1.13"},{"url":"https://storage.googleapis.com/earthenginepartners-hansen/GLCLU2000-2020/v2/download.html","name":"GLAD Global Land Cover and Land Use Change 2000-2020 v2"},{"url":"https://global-surface-water.appspot.com/","name":"JRC Global Surface Water v1.4"},{"url":"https://ghsl.jrc.ec.europa.eu/","name":"JRC GHSL GHS-BUILT-S and GHS-POP R2023A"},{"url":"https://soilgrids.org/","name":"ISRIC SoilGrids 2.0"},{"url":"https://www.ngdc.noaa.gov/hazard/volcano.shtml","name":"NOAA NCEI Global Volcano database"},{"url":"https://macrostrat.org/","name":"Macrostrat"},{"url":"https://www.ebi.ac.uk/ols4/ontologies/envo","name":"Environment Ontology (ENVO)"},{"url":"https://www.naturalearthdata.com/","name":"Natural Earth"}],"data_as_of":"2026-11-01","coverage":"4,596 admin-1 regions and 251 countries; forest loss 2001-2025 (canopy 10/30/50%), land cover 2000-2020, built-up 1975-2025, surface water 1984-2021, soil (static); ground exposure for 4,182 regions","loaded_on":"2026-11-03","refresh":"yearly (new Hansen GFC release)","license":"CC BY 4.0 (derived tables) with source attribution; NOAA and Natural Earth public domain; ENVO CC0","known_limits":"Forest loss is stand-replacing canopy loss (fire, logging, storms), not net deforestation; gain only 2000-2012. Loss-by-year kept for canopy 10, 30 and 50% only. 2025 built-up is a GHSL nowcast. Soil is static SoilGrids model output. Region centres (nearby, cell_0p5) only for the 4,182 regions in World Ground Ledger. 60 ISO 3166-2 codes are shared by more than one Natural Earth region (largest wins; use a1). Plate-boundary exposure fields excluded (PB2002 licence not stated). Some Natural Earth local names are wrong."},"signals":{"sources":[{"url":"https://huggingface.co/datasets/Lilambd/world-signals","name":"Lilambd World Signals (Hugging Face)"},{"url":"https://www.gdeltproject.org/","name":"GDELT 2.0 Event database (The GDELT Project)"}],"data_as_of":"2026-11-03","coverage":"19,185 country x CAMEO-root rows, 126,256 GDELT events, 228 GDELT (FIPS 10-4) country codes, 31 collected days 2026-09-22 to 2026-11-03; 20 CAMEO roots; 111 FIPS codes mapped to ISO2","loaded_on":"2026-11-03","refresh":"daily: load the new data/YYYY-MM-DD/gdelt_events.csv from the Hugging Face shelf after its morning (JST) build","license":"GDELT: free for any use with attribution; Lilambd/world-signals compilation CC BY 4.0","known_limits":"Each day is about one hour of GDELT export, not 24 hours; counts are news coverage, not verified incidents. Days not collected: 2026-10-15, 2026-10-16, 2026-10-22 to 2026-10-31 (never back-filled). GDELT FIPS codes: 111 mapped to ISO2, the rest listed under /gaps. No admin1, no coordinates. Google Trends, Apple podcasts, Steam, GitHub, HF trending and package downloads from the same shelf are excluded (terms unclear, personal names, or overlap with agents)."},"world-power":{"sources":[{"url":"https://ember-energy.org/data/yearly-electricity-data/","name":"Ember Yearly Electricity Data (2026)"},{"url":"https://www.energyinst.org/statistical-review","name":"Energy Institute Statistical Review of World Energy (2025)"},{"url":"https://github.com/owid/energy-data","name":"Our World in Data energy-data"},{"url":"https://datasets.wri.org/dataset/globalpowerplantdatabase","name":"WRI Global Power Plant Database v1.3.0"}],"data_as_of":"2026-11-03","coverage":"214 countries + World and regions; 34,936 plants in 167 countries","loaded_on":"2026-11-03","refresh":"yearly; monthly Ember load prepared","license":"CC BY 4.0 (attribution in every response)","known_limits":"Plant capacity is a 2017-2021 snapshot and misses newer plants; null = not recorded, never zero; about half of the countries have 2024 as their latest year"},"biodiversity":{"sources":[{"url":"https://doi.org/10.15468/dl.tup2g6","name":"GBIF.org (1 October 2026) GBIF Occurrence Download, CC0 and CC BY 4.0 records"},{"url":"https://huggingface.co/datasets/Lilambd/world-biodiversity-cells","name":"Lilambd world-biodiversity-cells (Hugging Face)"},{"url":"https://api.gbif.org/v1/","name":"GBIF API (live species facets, GBIF Backbone Taxonomy)"}],"data_as_of":"2026-10-01","coverage":"World, 0.5 degree grid: 214,398 cells (91,815 land), 180,857 with records; 231 countries; 3,398 admin1 regions; 3,026,672,393 open-licence occurrence records","loaded_on":"2026-11-03","refresh":"one-off snapshot (GBIF 2026-10-01); live GBIF species lookup in /place","license":"Counts only from CC0 1.0 and CC BY 4.0 GBIF records (CC BY 4.0 attribution: cite GBIF.org download doi 10.15468/dl.tup2g6); CC BY-NC records excluded","known_limits":"Counts are recording effort, not abundance. Species richness per cell counts distinct GBIF species keys with open-licence records. No per-cell species list in the snapshot: top species in /place are live from api.gbif.org (6 s timeout, may be null). Admin1 ids are Lilambd world mesh ids (e.g. jpn_1860), not ISO 3166-2. Per-species lookup and class tables were not loaded. GBIF issue flags were not applied, so some mis-located records remain."},"calendars":{"sources":[{"url":"https://github.com/unicode-org/cldr-json","name":"Unicode CLDR 49 (cldr-json)"},{"url":"https://huggingface.co/datasets/Lilambd/world-calendars","name":"Lilambd world-calendars (computed with hijridate, convertdate, lunardate, PyMeeus)"},{"url":"https://www.cambridge.org/9781107057623","name":"Reingold & Dershowitz, Calendrical Calculations 4th ed. (rules)"}],"data_as_of":"2026-11-03","coverage":"15 calendar systems; day table 2026-01-01..2030-12-31 in 11 calendars (1,826 days); arithmetic Julian/Coptic/Ethiopic/Buddhist/ROC/Japanese era/JDN for any date; weekday names 18,729 and era names 59,130 in 657 locales; week rules for 250 countries; 212 festival dates; 120 solar terms","loaded_on":"2026-11-03","refresh":"yearly (November, next 5 years) via HF Lilambd/world-calendars","license":"Unicode License v3 (CLDR); computed data by Lilambd; no holidays (koyomi)","known_limits":"Hijri follows Umm al-Qura (sighting countries may differ 1-2 days); Hijri/Hebrew/Persian/Chinese/Saka only 2026-2030; month names not loaded yet; rule texts English in leap_rule_en, original columns Japanese"},"disaster-exposure":{"sources":[{"url":"https://www.ngdc.noaa.gov/hazel/view/hazards/earthquake/search","name":"NOAA NCEI/WDS Global Significant Earthquake Database"},{"url":"https://www.ngdc.noaa.gov/hazel/view/hazards/tsunami/event-search","name":"NOAA NCEI/WDS Global Historical Tsunami Database"},{"url":"https://www.ngdc.noaa.gov/hazel/view/hazards/volcano/event-search","name":"NOAA NCEI/WDS Significant Volcanic Eruptions Database"}],"data_as_of":"2026-11-01","coverage":"6,288 records worldwide, 1900 to 2026","loaded_on":"2026-11-03","refresh":"with Lilambd/world-hazard rebuilds (monthly)","license":"NOAA data: US Government work; compilation CC BY 4.0 Lilambd","known_limits":"Only NOAA significant events (deaths, damage or large size). deaths_on_records sums published values and can double count a quake and its tsunami. Older records may have year or month only (day null). No floods, storms or droughts yet."},"firm-brief":{"sources":[{"url":"https://www.gleif.org/en/lei-data/gleif-golden-copy","name":"GLEIF Golden Copy incl. relationship records (CC0)"},{"url":"https://world.openfoodfacts.org/data","name":"Open Food Facts / Beauty / Products data dumps (ODbL 1.0)"},{"url":"https://openalex.org","name":"OpenAlex institutions and funders (CC0)"},{"url":"https://ted.europa.eu","name":"EU Tenders Electronic Daily notices"},{"url":"https://projects.worldbank.org/en/projects-operations/procurement","name":"World Bank procurement notices"},{"url":"https://disclosure2.edinet-fsa.go.jp","name":"EDINET code list (FSA Japan) and Wikidata (CC0), when loaded"}],"data_as_of":"2026-11-03","coverage":"200 largest GLEIF ultimate-parent groups (by active descendants); 133 Open Food Facts brand owners with >=300 products; 196k OpenAlex institutions (36.6k companies); 2,237 tender notices (TED 2026-11-02, World Bank 2026-10-23..11-01); country stats for 241 countries; 543 country-to-parent-country ownership pairs.","loaded_on":"2026-11-03","refresh":"Snapshot of 2026-11-03; refreshed when the underlying ledgers are reloaded.","license":"GLEIF CC0; OpenAlex CC0; Open Food Facts ODbL 1.0 (attribution and share-alike apply to derived databases); tender notices are public EU / World Bank publications; Lilambd computed fields may be reused with attribution.","known_limits":"Name matching only (no fuzzy entity resolution): a brand-owner subsidiary (e.g. Nestle USA Inc.) is linked to its GLEIF group only by shared name. Groups outside the top 200, and Japanese groups searched in English (e.g. Toyota), have no GLEIF ownership block. Tenders are notices naming the buyer; award winners are not recorded, so tenders_won is always null. Flows are country-level counts of ownership links, not money. Brand search sees only each owner's top brand. OpenAlex name matches can include unrelated bodies sharing a word. EDINET and Wikidata blocks stay empty until those tables are loaded. No officers or other personal data."},"next-languages":{"sources":[{"url":"https://github.com/unicode-org/cldr-json","name":"Unicode CLDR (cldr-json)"},{"url":"https://www.unicode.org/Public/17.0.0/ucd/Scripts.txt","name":"Unicode Character Database 17.0 Scripts.txt"},{"url":"https://www.unicode.org/iso15924/","name":"ISO 15924 (npm iso-15924)"},{"url":"https://github.com/glottolog/glottolog-cldf","name":"Glottolog 5 CLDF"},{"url":"https://huggingface.co/datasets/Lilambd/world-marketplaces","name":"Lilambd world-marketplaces v3 (digital marketplaces per country)"}],"data_as_of":"2026-11-03","coverage":"60 candidate languages (CLDR languages with territory data, excluding en ja zh es pt fr de ko hi ar); 173 Unicode-encoded scripts","loaded_on":"2026-11-03","refresh":"manual; next rebuild with CLDR release","license":"Data: Unicode License v3 (CLDR, UCD), CC BY 4.0 (Glottolog). Scores computed by Lilambd.","known_limits":"Speakers include second-language users. GDP is PPP from CLDR. The 10 already-covered languages are never ranked. Payment or sanctions constraints in target countries are not considered."},"place-brief":{"sources":[{"url":"https://www.ngdc.noaa.gov/hazel/view/hazards/earthquake/search","name":"NOAA NCEI/WDS Global Significant Earthquake Database"},{"url":"https://www.ngdc.noaa.gov/hazel/view/hazards/tsunami/event-search","name":"NOAA NCEI/WDS Global Historical Tsunami Database"},{"url":"https://www.ngdc.noaa.gov/hazel/view/hazards/volcano/event-search","name":"NOAA NCEI/WDS Significant Volcanic Eruptions Database"},{"url":"https://earthquake.usgs.gov/fdsnws/event/1/","name":"USGS ComCat earthquake catalog (M6+ 1900-2026, aggregated per admin1)"},{"url":"https://www.ncei.noaa.gov/pub/data/ghcn/v4/","name":"NOAA GHCN-Monthly v4 (station normals 1961-1990, 1991-2020)"},{"url":"https://www.naturalearthdata.com/","name":"Natural Earth admin-1 and populated places"},{"url":"https://ourairports.com/data/","name":"OurAirports"},{"url":"https://datasets.wri.org/dataset/globalpowerplantdatabase","name":"WRI Global Power Plant Database v1.3.0"},{"url":"https://docs.overturemaps.org/","name":"Overture Maps places release 2026-10-21.0"},{"url":"https://data.worldbank.org/","name":"World Bank World Development Indicators (country population, GDP per capita, income group)"}],"data_as_of":"2026-11-01","coverage":"Any lat/lon on Earth. 10,738 NCEI hazard events (6,697 significant earthquakes, 3,138 tsunamis, 903 volcanic eruptions), 852 admin1 M6+ rates, 5,924 GHCN stations, 4,596 admin1 regions, 3,089 cities, 86,329 airports, 34,936 power plants, 137,975 market places. Cyclones (IBTrACS), recent-event feed, seaports and world-cities profiles are wired in and appear automatically once those loads finish.","loaded_on":"2026-11-03","refresh":"Hazard catalogues fetched 2026-11-01 (static snapshot, refresh planned); airports snapshot 2026-11-01; markets with each Overture release; power plants frozen (source ended 2021).","license":"NOAA/USGS US Government public domain; Natural Earth and OurAirports public domain; WRI GPPD CC BY 4.0; Overture places CDLA-Permissive-2.0; World Bank CC BY 4.0. Computed fields (distances, counts, ranks) by Lilambd.","known_limits":"Historical record only, not a hazard model or probability. NCEI 'significant' catalogues list damaging or large events, not all quakes. Tsunamis are counted by source location, not run-up on this coast. Admin1 is inferred from the nearest polygon-tagged station/event within 40 km, else nearest admin1 centroid (can be wrong near borders; null far offshore). No soil, geology, flood-zone or elevation model yet: elevation shown is the nearest airport's. Power plants miss anything built after 2020. Markets under-recorded in China and much of Africa. Cyclones, seaports, recent events and city profiles show 'not loaded yet' until their loads complete."},"rules-ahead":{"sources":[{"url":"https://public-comment.e-gov.go.jp/","name":"e-Gov Public Comment (Japan, Digital Agency / Ministry of Internal Affairs and Communications)"},{"url":"https://laws.e-gov.go.jp/","name":"e-Gov Law Search API (Japan)"},{"url":"https://www.federalregister.gov/developers/documentation/api/v1","name":"US Federal Register API (Office of the Federal Register, NARA)"}],"data_as_of":"2026-11-03","coverage":"JP: e-Gov public-comment drafts currently open (26 on 2026-11-03), recent e-Gov results with number of comments (33, results 2026-10-30..2026-11-02), promulgated-but-not-in-force revisions of the JP laws tracked in api_pub.egov_revisions (12 revisions, 7 laws, mainly pharma, narcotics, aviation, animal health). US: Federal Register proposed and final rules published 2026-08-04..2026-11-02 (1,147 documents) plus some older significant rules. 41 bilingual topics plus free-text matching.","loaded_on":"2026-11-03","refresh":"Daily (rule_signals and pubcom_results loaded daily; e-Gov law revisions as loaded)","license":"Japan: Public Data License / Government of Japan Standard Terms of Use 2.0 (CC BY 4.0 compatible), attribution e-Gov. US: Federal Register content is US public domain. Computed fields by Lilambd.","known_limits":"Topic matching is keyword based on title and category (plus agency for US) and can miss or over-include items. JP drafts table holds only currently open drafts, not closed history; JP titles have no English translation. JP law amendments cover only laws tracked in egov_revisions, not all of Japanese law; e-Gov placeholder in-force dates (2117-12-31) are shown as not yet fixed. US coverage starts 2026-08. Routine US items hidden by default. Not legal advice."},"world-dishes":{"sources":[{"url":"https://query.wikidata.org/","name":"Wikidata SPARQL (dish -> country of origin / cuisine), fetched 2026-11-03"}],"data_as_of":null,"coverage":null,"loaded_on":"2026-11-03","refresh":"Snapshot of 2026-11-03; yearly refresh with the world food ledger","license":"Wikidata CC0 1.0","known_limits":null},"world-education":{"sources":[{"url":"https://github.com/open-numbers/ddf--open_numbers--world_development_indicators","name":"World Bank World Development Indicators (UNESCO Institute for Statistics for SE.* series)"},{"url":"https://openalex.org","name":"OpenAlex institutions snapshot 2026-10-14"},{"url":"https://ror.org","name":"Research Organization Registry"}],"data_as_of":"2026-11-03","coverage":"209 countries, 14 headline indicators, latest year per indicator (some years are old: always read year)","loaded_on":"2026-11-03","refresh":"Monthly rebuild from the WDI mirror and the OpenAlex snapshot","license":"World Bank WDI CC BY 4.0 (UNESCO UIS series); OpenAlex CC0; ROR CC0. Computed fields by Lilambd, reuse with attribution.","known_limits":"Years differ by country; gross enrolment can exceed 100%; some series have breaks (e.g. Zimbabwe education spend); institution counts include all OpenAlex institution types."},"x402-pricing":{"sources":[{"url":"https://docs.cdp.coinbase.com/x402/bazaar","name":"Coinbase CDP x402 discovery API (Bazaar), daily census by Lilambd"},{"url":"https://www.x402scan.com/","name":"x402scan.com seller ranking (30-day transactions, USD volume, unique buyers per origin), daily snapshot"}],"data_as_of":"2026-11-03","coverage":"Listed: ~92,000 x402 endpoints seen in the Bazaar census, priced in Base mainnet USDC (testnets excluded) for keyword and per-category stats in /answer. Paid: ~350 x402scan sellers with 30-day tx counts and USD volume (Base and Solana mainnet). 18 keyword categories + other. Daily history from 2026-11-01.","loaded_on":"2026-11-03","refresh":"Daily (Bazaar census and x402scan snapshot loaded daily)","license":"Facts from public discovery API and public on-chain rankings; computed fields (usd_per_tx, quantiles, bands, percentiles, verdicts) by Lilambd. Not financial advice.","known_limits":"Categories come from Lilambd keyword rules and can misfile endpoints. Paid price per seller is total_usd / tx_count over all of that seller's endpoints, not per endpoint. Listed quantiles are endpoint-weighted, so hosts with thousands of near-identical listings can dominate (median_of_host_medians_usd is given as a check). /categories and /trend listed figures come from the daily rollup over all networks (may include <1% testnet rows and non-USDC assets); /answer listed figures are live, Base mainnet USDC only. x402scan covers only its top ~350 sellers per 30-day window. History begins 2026-11-01."},"country-economy":{"sources":[{"url":"https://ilostat.ilo.org/data/","name":"ILOSTAT (ILO): EMP_TEMP_SEX_OCU_NB_A, EMP_TEMP_SEX_STE_NB_A, EMP_NIFL_SEX_RT_A, EAR_EHRA_SEX_OCU_CUR_NB_A"},{"url":"https://data-explorer.oecd.org/","name":"OECD Table 5A household final consumption by purpose (DF_TABLE5A_T501, COICOP 2018)"},{"url":"https://www.oecd.org/en/data/datasets/corporate-tax-statistics-database.html","name":"OECD Corporate Tax Statistics, statutory CIT rates"},{"url":"https://www.oecd.org/en/data/datasets/income-and-wealth-distribution-database.html","name":"OECD Income Distribution Database (IDD)"},{"url":"https://data-explorer.oecd.org/","name":"OECD National Accounts Table 13, non-financial sector accounts (DF_TABLE13)"},{"url":"https://www.stat-search.boj.or.jp/","name":"Bank of Japan MD01 monetary base"},{"url":"https://www.boj.or.jp/en/statistics/sj/index.htm","name":"Bank of Japan flow of funds accounts"},{"url":"https://gml.noaa.gov/webdata/ccgg/trends/co2/co2_mm_mlo.csv","name":"NOAA GML Mauna Loa CO2 monthly mean"},{"url":"https://data.worldbank.org/","name":"Lilambd market_countries reference (population, GDP per capita; values match World Bank WDI 2019)"}],"data_as_of":"2026-11-03","coverage":"198 countries with at least one ledger. Work/jobs ~190 countries (ILOSTAT, latest mostly 2023-2025); hourly earnings ~100; corporate tax 146 jurisdictions (2000-2026); household consumption by purpose 30 European countries + JP, KR, TR, IL, CH (2015-2025); income distribution, sector accounts, money flows, monetary base and household financial assets: Japan only today (IDD to 2021, Table 13 to 2024, BOJ to 2026-09 / 2026Q2); CO2 world to 2026-09.","loaded_on":"2026-11-03","refresh":"Reads the live ledgers on every call; new rows (more countries in income_dist, sector_accounts, money_stock, fin_assets) show up automatically. ILOSTAT and OECD ledgers loaded 2026-11; BOJ monthly/quarterly.","license":"ILOSTAT CC BY 4.0; OECD CC BY 4.0; Bank of Japan statistics (attribution required); NOAA US Government public domain; World Bank CC BY 4.0. Shares, ratios and 5-year changes are computed by Lilambd.","known_limits":"Indicators have different latest periods (not aligned to one year). Money is nominal in local currency; only ILOSTAT earnings are given in USD and PPP. Japan lacks ILOSTAT hourly earnings and ISCO groups 3 and 7 in the latest year; US is missing from OECD Table 5A consumption. Income distribution mixes OECD IDD methodologies (METH2011 before 2018, METH2012 from 2018), so 5-year changes there cross a series break. Household saving rate is S1M B8N / B6N without the pension-entitlement adjustment. Population and GDP per capita come from a reference table whose values match World Bank 2019, vintage not stamped. ILOSTAT earnings ledger unit label says monthly_earnings, but the series (EAR_EHRA) is hourly and is labelled hourly here. BOJ asset item names are Japanese labels (glossary in the answer)."}},"note":"data_as_of = newest real-world date the data describes; null = not recorded. loaded_on = when Lilambd loaded it."}