Data — unpaid → 402 (from a non-allowlisted IP)

1. Client calls a paid endpoint without payment → 402 Payment Required with a PAYMENT-REQUIRED header (price, network, pay-to address).
2. Client signs a USDC payment and retries with a PAYMENT-SIGNATURE header.
3. Server verifies + settles via the facilitator, then returns 200 with data and a PAYMENT-RESPONSE header.

curl -i "https://api.datanexusai.org/api/"

curl -i "https://api.datanexusai.org/api/v1/datasets"

Variable	Example	Notes
X402_ENABLED	True	Turn on gating
X402_PAY_TO	0xYourAddress	EVM wallet that receives USDC (same address on Base/Polygon/Arbitrum)
X402_NETWORKS	base,polygon,arbitrum	Comma-separated networks (aliases or CAIP-2 ids)
X402_PRICE	0.01	Per request (becomes $0.01; avoid $ in .env)
X402_FACILITATOR_URL	https://facilitator.payai.network	Multi-network facilitator. Coinbase CDP: https://api.cdp.coinbase.com/platform/v2/x402
X402_FREE_IPS	1.2.3.4	Optional owner allowlist

Install: pip install "x402[evm,httpx]==2.24.0"

Cash-out path: USDC on Base → Coinbase → EUR → Revolut.

Compatible clients: any x402 buyer (AI agents, @x402/fetch, Python x402 client). See https://docs.x402.org

---

Sample: https://api.datanexusai.org/api/sebra/getPeriodsWithMostPayments?period=days&from=01-10-2020&to=01-11-2020

Which calendar slots have the largest payment sums (and how many payments).

Period (required, one of):

Value	Meaning
days	Day of month 1–31
months	Calendar month + year
weekdays	Weekday (Monday=0 … Sunday=6)

Pass as ?period=days or as a flag: ?days / ?months / ?weekdays.

Optional query params:

Param	Example	Description
from / to	see below	Inclusive date window. If from is set and to is omitted, to is today.
currency	EUR	BGN or EUR. If omitted, rows are grouped by currency.
year	2024	Restrict to one calendar year.
limit	10	Max rows after sorting by amount descending.

Date window (from / to):

period	Format	Example	Meaning
days, weekdays	DD-MM-YYYY	from=01-10-2020&to=01-11-2020	1 Oct 2020 through 1 Nov 2020
months	MM-YYYY	from=01-2020&to=05-2020	January 2020 through May 2020 (whole months)

months also accepts DD-MM-YYYY if you need an exact calendar cut. days / weekdays also accept MM-YYYY as the first/last day of that month.

If from is given without to, the window is from that date through today. Only to (no from) still means everything up to that date. With neither bound, the full history is used.

Examples:

GET /api/sebra/getPeriodsWithMostPayments?period=days
GET /api/sebra/getPeriodsWithMostPayments?period=days&from=01-10-2020&to=01-11-2020
GET /api/sebra/getPeriodsWithMostPayments?period=days&from=01-10-2020
GET /api/sebra/getPeriodsWithMostPayments?period=months&from=01-2020&to=05-2020&currency=EUR
GET /api/sebra/getPeriodsWithMostPayments?period=weekdays&year=2025&limit=5
GET /api/sebra/getPeriodsWithMostPayments?days&currency=EUR

curl "https://api.datanexusai.org/api/sebra/getPeriodsWithMostPayments?period=days&from=01-10-2020&to=01-11-2020"
curl "https://api.datanexusai.org/api/sebra/getPeriodsWithMostPayments?period=months&from=01-2020&to=05-2020&currency=EUR"

200 response (shape):

{
  "endpoint": "getPeriodsWithMostPayments",
  "period": "days",
  "period_key": "day_of_month",
  "description": "Days of the month (1–31) with the largest payment sums",
  "ordered_by": "total_amount",
  "filters": { "currency": "EUR", "year": null, "from": "2020-10-01", "to": "2020-11-01", "limit": null },
  "count": 31,
  "items": [
    {
      "day_of_month": 28,
      "label": "28",
      "currency": "EUR",
      "total_amount": "1234567.89",
      "payment_count": 42,
      "observed_days": 12,
      "rank": 1
    }
  ]
}

For months, items use month, then year, plus a Bulgarian month label (e.g. януари). Each calendar month is a separate row (August 2020 ≠ August 2024).
For weekdays, items use weekday plus a Bulgarian weekday label (e.g. понеделник).

400: missing/invalid period, invalid currency, invalid from/to, from after to, or limit < 1.

---

Sample: https://api.datanexusai.org/api/sebra/getTaxonomyForYear/2019

Where the money went in that calendar year: SEBRA economic accounts grouped as Salaries (Заплати), Maintenance (Издръжка), Capital expenditure (Капиталови разходи) (plus social payments, transfers, taxes, other), ordered by amount descending.

Also: GET /api/sebra/getTaxonomyForYear?year=2019

Params:

Param	Example	Description
year	2019	Required unless given in the path.
currency	BGN	BGN or EUR. If omitted, groups are split by currency.

Examples:

GET /api/sebra/getTaxonomyForYear/2019
GET /api/sebra/getTaxonomyForYear?year=2019
GET /api/sebra/getTaxonomyForYear/2019?currency=BGN

curl "https://api.datanexusai.org/api/sebra/getTaxonomyForYear/2019"

200 response (shape):

{
  "endpoint": "getTaxonomyForYear",
  "year": 2019,
  "ordered_by": "total_amount",
  "filters": { "year": 2019, "currency": null },
  "year_totals": [{ "currency": "BGN", "total_amount": "1000000.00" }],
  "count": 3,
  "items": [
    {
      "category": "Заплати",
      "category_key": "salaries",
      "currency": "BGN",
      "total_amount": "500000.00",
      "share_percent": "50.00",
      "payment_count": 120,
      "account_count": 2,
      "rank": 1,
      "accounts": [
        {
          "code": "01 xxxx",
          "description": "Заплати, възнаграждения и други плащания за персонала - нетна сума за изплащане",
          "total_amount": "490000.00",
          "payment_count": 100,
          "rank": 1
        }
      ]
    }
  ]
}

Salaries (Заплати), Maintenance (Издръжка) and Capital expenditure (Капиталови разходи) are always present (amount 0 if that year had none). Other buckets appear only when there is spend.

400: missing/invalid year, or invalid currency.

---

Sample: https://api.datanexusai.org/api/sebra/getTaxonomyForPeriod?from=01-10-2020&to=01-11-2020

Same account buckets as getTaxonomyForYear (Salaries, Maintenance, Capital expenditure, …), but for a date window.

Params:

Param	Example	Description
from	01-10-2020 or 01-2020	Required. DD-MM-YYYY or MM-YYYY (month starts on day 1).
to	01-11-2020 or 05-2020	Inclusive end. If omitted, today. MM-YYYY means the last day of that month.
currency	BGN	BGN or EUR. If omitted, groups are split by currency.

Examples:

GET /api/sebra/getTaxonomyForPeriod?from=01-10-2020&to=01-11-2020
GET /api/sebra/getTaxonomyForPeriod?from=01-10-2020
GET /api/sebra/getTaxonomyForPeriod?from=01-2020&to=05-2020
GET /api/sebra/getTaxonomyForPeriod?from=01-2020&currency=BGN

curl "https://api.datanexusai.org/api/sebra/getTaxonomyForPeriod?from=01-10-2020&to=01-11-2020"
curl "https://api.datanexusai.org/api/sebra/getTaxonomyForPeriod?from=01-2020"

200 response (shape): same items as getTaxonomyForYear. Totals are in period_totals. filters.from / filters.to are ISO dates.

400: missing/invalid from/to, from after to, or invalid currency.

---

Sample: https://api.datanexusai.org/api/sebra/getMostSponsoredProgramme/2019

Programmes ranked by total amount (then payment count): programme → payment count → total amount.

Filter with a year or a from/to window (not both). Without either, the full history is used.

Params:

Param	Example	Description
year	2019	Calendar year. Also: /getMostSponsoredProgramme/2019.
from / to	01-10-2020, 01-2020	Same date window as getTaxonomyForPeriod. If from is set and to is omitted, to is today.
currency	EUR	BGN or EUR. If omitted, rows are grouped by currency.
limit	10	Max programmes after ranking.

Examples:

GET /api/sebra/getMostSponsoredProgramme/2019
GET /api/sebra/getMostSponsoredProgramme?year=2019
GET /api/sebra/getMostSponsoredProgramme?from=01-10-2020&to=01-11-2020
GET /api/sebra/getMostSponsoredProgramme?from=01-2020&to=05-2020&limit=10
GET /api/sebra/getMostSponsoredProgramme?from=01-2020&currency=BGN

curl "https://api.datanexusai.org/api/sebra/getMostSponsoredProgramme/2019"
curl "https://api.datanexusai.org/api/sebra/getMostSponsoredProgramme?from=01-10-2020&to=01-11-2020&limit=10"

200 response (shape):

{
  "endpoint": "getMostSponsoredProgramme",
  "ordered_by": "total_amount",
  "filters": { "year": 2019, "from": null, "to": null, "currency": null, "limit": null },
  "count": 1,
  "items": [
    {
      "programme": "Оперативна програма …",
      "payment_count": 42,
      "total_amount": "1234567.89",
      "currency": "BGN",
      "rank": 1
    }
  ]
}

400: invalid year, year together with from/to, invalid from/to, invalid currency, or limit < 1.

---

Sample: https://api.datanexusai.org/api/sebra/getUnusualPayments/2019

Four unusual-activity lists for the same year or from/to window. limit (default 5) is applied to each list.

1. unusual_days — days whose total amount is unusually high (z-score ≥ 2 vs other days in the window).
2. unusual_programmes — days when a programme paid unusually much vs that programme’s own days in the window (needs ≥ 5 days for the programme).
3. expense_spikes — expense type (Salaries, Maintenance, Capital expenditure, …) whose monthly total is at least 2× the previous month in the window.
4. unusual_payment_counts — days with an unusually high number of payments (z-score ≥ 2).

Params: same as getMostSponsoredProgramme (year or from/to, currency, limit).

Examples:

GET /api/sebra/getUnusualPayments/2019
GET /api/sebra/getUnusualPayments?year=2019&limit=5
GET /api/sebra/getUnusualPayments?from=01-10-2020&to=01-11-2020
GET /api/sebra/getUnusualPayments?from=01-2020&to=05-2020&limit=5

curl "https://api.datanexusai.org/api/sebra/getUnusualPayments/2019?limit=5"

200 response (shape):

{
  "endpoint": "getUnusualPayments",
  "method": "zscore >= 2 vs the mean in the same window; expense spikes are month-over-month ratio >= 2",
  "filters": { "year": 2019, "from": null, "to": null, "currency": null, "limit": 5 },
  "unusual_days": [
    {
      "payment_date": "2019-12-20",
      "currency": "BGN",
      "total_amount": "9000000.00",
      "mean_amount": "1000000.00",
      "zscore": "3.20",
      "payment_count": 400,
      "rank": 1
    }
  ],
  "unusual_programmes": [
    {
      "programme": "Оперативна програма …",
      "payment_date": "2019-06-15",
      "currency": "BGN",
      "total_amount": "2000000.00",
      "mean_amount": "200000.00",
      "zscore": "4.10",
      "observed_days": 40,
      "rank": 1
    }
  ],
  "expense_spikes": [
    {
      "category": "Капиталови разходи",
      "category_key": "capital",
      "currency": "BGN",
      "month": "2019-11",
      "total_amount": "800000.00",
      "previous_amount": "200000.00",
      "increase_ratio": "4.00",
      "rank": 1
    }
  ],
  "unusual_payment_counts": [
    {
      "payment_date": "2019-03-25",
      "currency": "BGN",
      "payment_count": 2000,
      "mean_count": "400.00",
      "zscore": "2.80",
      "total_amount": "1500000.00",
      "rank": 1
    }
  ]
}

A list can be empty if nothing in the window crosses the threshold.

400: invalid year, year together with from/to, invalid from/to, invalid currency, or limit < 1.

---

Sample: https://api.datanexusai.org/api/hearthstone/getTranslatedCardInBG?name=Fireball

Look up an English card name in hearthstone_cards_en, resolve dbf_id / id, return matching rows from hearthstone_cards_bg.

Param	Example	Description
name	Fireball	Required unless given in the path. Exact match, case-insensitive.

Examples:

GET /api/hearthstone/getTranslatedCardInBG?name=Fireball
GET /api/hearthstone/getTranslatedCardInBG/Fireball

200 response (shape): query, matched_en (id/dbf_id/name), count, items (BG card objects). Multiple EN variants with the same name return multiple BG items when present.

404: name not found in English table. 400: missing name.

Sample: https://api.datanexusai.org/api/hearthstone/getCardsByClass?class=Shaman

All cards with hearthstone_cards_en.card_class = SHAMAN (accepts Shaman, SHAMAN, шаман, …). Each item is { "en": {...}, "bg": {...} } (bg may be null).

Param	Example	Description
class	Shaman	Required unless given in the path.
collectible	true	Optional. true / false to filter collectible cards.
limit	200	Max rows (default 200, max 2000).

Examples:

GET /api/hearthstone/getCardsByClass?class=Shaman
GET /api/hearthstone/getCardsByClass/Mage?collectible=true&limit=50

400: missing/unknown class, or invalid limit.

Sample: https://api.datanexusai.org/api/hearthstone/getCard?name=Fireball

Bilingual lookup from both tables. Provide name and/or dbf_id.

Param	Example	Description
name	Fireball	English name, case-insensitive.
dbf_id	315	Numeric Hearthstone dbf id.

Examples:

GET /api/hearthstone/getCard?name=Fireball
GET /api/hearthstone/getCard?dbf_id=315
GET /api/hearthstone/getCard?name=Fireball&dbf_id=315

200: items as { "en": {...}, "bg": {...} }. 404: no EN match. 400: neither param given.

---

Sample: https://api.datanexusai.org/api/ptp/getPtpPerCity?city=Sofia&year=2025

All crashes for a city. Works with Latin or Cyrillic names (Sofia, София, Varna, Пловдив, …).

Params:

Param	Example	Description
city	Sofia	Required unless given in the path.
year	2025	Calendar year.
from / to	01-01-2025, 01-2025	Same window as SEBRA. If from is set and to is omitted, to is today.
limit	100	Optional max rows (newest first). Omit to return all matches.

Use either year or from/to, not both.

Examples:

GET /api/ptp/getPtpPerCity?city=Sofia
GET /api/ptp/getPtpPerCity/Sofia?year=2025
GET /api/ptp/getPtpPerCity?city=Варна&from=01-01-2025&to=31-12-2025
GET /api/ptp/getPtpPerCity?city=Plovdiv&from=01-2025

curl "https://api.datanexusai.org/api/ptp/getPtpPerCity?city=Sofia"
curl "https://api.datanexusai.org/api/ptp/getPtpPerCity/Sofia?year=2025"

200 response (shape):

{
  "endpoint": "getPtpPerCity",
  "filters": { "city": "Sofia", "matched_as": ["СОФИЯ", "СТОЛИЧНА"], "year": 2025, "from": null, "to": null, "limit": null },
  "count": 2,
  "items": [
    {
      "crash_datetime": "2025-12-20T13:10:00",
      "crash_type": "сблъскване между МПС странично",
      "ptp_place": "в населено място",
      "region": "СОФИЯ",
      "municipality": "СТОЛИЧНА",
      "location": "ГР.СОФИЯ",
      "latitude": "42.69770000",
      "longitude": "23.32190000",
      "died_count": 0,
      "injured_count": 1,
      "participant_count": 2,
      "is_major": false
    }
  ]
}

400: missing city, invalid year, year together with from/to, invalid from/to, or limit < 1.

---

Sample: https://api.datanexusai.org/api/ptp/getPtpPerRegion?region=Sofia&year=2025

All crashes in a district/oblast (region column). Sofia maps to СОФИЯ (СТОЛИЦА) (Sofia city), not Sofia district. For the district use region=Софийска.

Same time params as getPtpPerCity: year or from/to, optional limit.

Examples:

GET /api/ptp/getPtpPerRegion?region=Sofia
GET /api/ptp/getPtpPerRegion/Sofia?year=2025
GET /api/ptp/getPtpPerRegion?region=Варна&from=01-2025
GET /api/ptp/getPtpPerRegion?region=Софийска

curl "https://api.datanexusai.org/api/ptp/getPtpPerRegion?region=Sofia"

Response shape matches getPtpPerCity (endpoint is getPtpPerRegion, filter key is region).

400: missing region, invalid year, year together with from/to, invalid from/to, or limit < 1.

---

Sample: https://api.datanexusai.org/api/ptp/getMostDeadlyLocations?year=2020

Deadliest 2 km crash clusters for a year. Centroids come from the monthly table egovbg_ptp_dedly_locations. Counts (crash_count, died_count, injured_count) are summed only from linked rows in egovbg_ptp_reports for that year — crash details are not duplicated.

Locations with 0 deaths in the window are omitted. Sorted by deaths, then crash count.

Params:

Param	Example	Description
year	2020	Required unless given in the path, or use from/to instead.
from / to	01-01-2020, 01-2020	Same window as other PTP calls. If from is set and to is omitted, to is today.
limit	20	Max clusters. Default 20, max 200.

Use either year or from/to, not both.

Examples:

GET /api/ptp/getMostDeadlyLocations?year=2020
GET /api/ptp/getMostDeadlyLocations/2020
GET /api/ptp/getMostDeadlyLocations?year=2020&limit=10
GET /api/ptp/getMostDeadlyLocations?from=01-01-2020&to=31-12-2020

curl "https://api.datanexusai.org/api/ptp/getMostDeadlyLocations?year=2020"
curl "https://api.datanexusai.org/api/ptp/getMostDeadlyLocations/2020?limit=10"

200 response (shape):

{
  "endpoint": "getMostDeadlyLocations",
  "filters": { "year": 2020, "from": null, "to": null, "limit": 20 },
  "count": 2,
  "items": [
    {
      "location_id": 12,
      "latitude": "42.69770000",
      "longitude": "23.32190000",
      "radius_m": 2000,
      "region": "СОФИЯ (СТОЛИЦА)",
      "location": "ГР.СОФИЯ",
      "crash_count": 18,
      "died_count": 7,
      "injured_count": 21
    }
  ]
}

400: missing year (and no from/to), invalid year, year together with from/to, invalid from/to, or invalid limit.

---

Sample: https://api.datanexusai.org/api/v1/datasets

Latest import per dataset (dataset, source, source_file, source_url, file_hash, import_date, row_count).

Sample: https://api.datanexusai.org/api/v1/datasets/cereals_prices

id is agrifood_import.dataset (cereals_prices, oilseeds_prices, pigmeat_prices). results are import versions.

Sample: https://api.datanexusai.org/api/v1/commodities?dataset=cereals_prices&limit=20

Catalog from agrifood_cereals_product, agrifood_oilseeds_product, agrifood_pigmeat_class.

Param	Column
dataset	tagged dataset id
q / commodity / product	product_name or pig_class

Sample: https://api.datanexusai.org/api/v1/countries

From agrifood_member_state (code, name). Optional dataset keeps countries that appear in that fact table.

Sample: https://api.datanexusai.org/api/v1/prices?dataset=cereals_prices&country=BG&date_from=2024-01-01&limit=20

Union of agrifood_cereals_price, agrifood_oilseeds_price, agrifood_pigmeat_price.

Param	Maps to
dataset	dataset
commodity / product	product_name / pig_class
country	member_state_code or member_state_name
market	market_name
date	begin_date
date_from / date_to	begin_date range
period	week_number or marketing_year
unit	unit
stage	stage_name / market_stage
product_type	product_type
pig_class	pig_class

Sample: https://api.datanexusai.org/api/v1/commodities/cereals_prices:Milling%20rye/prices?country=AT&limit=20

Same filters, restricted to one commodity id. Ordered by begin_date descending.

Sample: https://api.datanexusai.org/api/v1/commodities/cereals_prices:Milling%20rye/history?country=AT&limit=20

Time series for that commodity (begin_date ascending), same filters.

Sample: https://api.datanexusai.org/api/v1/changes?country=BG&commodity=1001&date_from=2020&date_to=2025&metric=imports

Period-to-period changes for price, imports, exports, trade_balance. Filters: country, commodity, date_from, date_to, metric. Each row has previous_value, current_value, absolute_change, percentage_change, period. Missing values are skipped (not filled with 0).

Weekly Agri-food price LAG remains available as https://api.datanexusai.org/api/v1/prices/changes?dataset=pigmeat_prices&country=BG&limit=20 (also if dataset= is passed to /api/v1/changes).

Sample: https://api.datanexusai.org/api/v1/anomalies?min_percent=40&limit=20

Rows with |percent_change| >= min_percent (default 25) or |zscore| >= z (default 3) within the same series.

Sample: https://api.datanexusai.org/api/v1/latest?dataset=oilseeds_prices&limit=20

Newest begin_date per series.

GET /api/v1/datasets
GET /api/v1/prices?dataset=cereals_prices&country=BG&date_from=2024-01-01&limit=20
GET /api/v1/commodities/cereals_prices:Milling%20rye/history?country=AT
GET /api/v1/changes?country=BG&commodity=1001&metric=imports
GET /api/v1/prices/changes?dataset=pigmeat_prices&country=BG
GET /api/v1/anomalies?min_percent=40
GET /api/v1/latest?dataset=oilseeds_prices

curl "https://api.datanexusai.org/api/v1/datasets"
curl "https://api.datanexusai.org/api/v1/prices?country=BG&limit=5"

---

Sample: https://api.datanexusai.org/api/v1/trade?reporter=BG&product=1001&date_from=2020

Filters: reporter/country, partner, product/commodity, flow (1,2,import,export), date_from, date_to. Rows pivot VALUE_IN_EUROS → value and QUANTITY_IN_100KG → quantity.

Sample: https://api.datanexusai.org/api/v1/trade/balance?country=BG&commodity=1001

Requires reporter and product. trade_balance = exports - imports on VALUE_IN_EUROS.

Sample: https://api.datanexusai.org/api/v1/trade/partners?reporter=BG&product=1001&period=2025

Requires reporter and product. Optional flow (import/export/both, default both), period, date_from, date_to, limit (default 20), sort (value/quantity/share). WORLD and other aggregate partner codes are excluded from the ranking; WORLD totals are used as share denominators and reported in data_quality.

Sample: https://api.datanexusai.org/api/v1/markets/BG/1001

Combines Agri-food average annual price with Comext trade (imports, exports, trade_balance = exports - imports). Missing values stay null. Optional: year, date_from, date_to, partner (default WORLD), flow.

Sample: https://api.datanexusai.org/api/v1/markets/BG/1001/history?date_from=2020&date_to=2025

Annual series from Agri-food prices + Comext trade: period, price, imports, exports, trade_balance. Optional date_from, date_to. Missing indicators are null.

Sample: https://api.datanexusai.org/api/v1/markets/BG/1001/insights

YoY percent changes and z-score anomalies (z default 3). Deterministic SQL/Python, no LLM.

Sample: https://api.datanexusai.org/api/v1/markets/changes?countries=BG&commodities=1001&min_percent=10

YoY moves with |percent| >= min_percent (default 10). Optional countries, commodities.

Sample: https://api.datanexusai.org/api/v1/markets/anomalies?countries=BG&commodities=1001

|yoy| >= min_percent (default 40) or |zscore| >= z on price/imports.

Sample: https://api.datanexusai.org/api/v1/markets/compare?countries=BG,RO,GR,DE&commodity=1001

Compare 2+ countries for one commodity and one period. Filters: countries, commodity, date_from, date_to. Each country: price, imports, exports, trade_balance, price_change, imports_change, exports_change. Missing values are null. Without dates, uses the latest common period.

GET /api/v1/trade?reporter=BG&product=1001&date_from=2020
GET /api/v1/trade/balance?country=BG&commodity=1001
GET /api/v1/markets/BG/1001
GET /api/v1/markets/BG/1001/history
GET /api/v1/markets/compare?countries=BG,RO,GR,DE&commodity=1001

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Endpoint	Derived output
GET /api/analytics/us/yield-curve	US_10Y_2Y_SPREAD = DGS10 − DGS2
GET /api/analytics/us-eu/inflation	US CPI YoY − EU HICP YoY
GET /api/analytics/us/macro	inflation/UE/rate changes + macro regime
GET /api/analytics/market/volatility-regime	VIX regime / percentile / z-score

GET /api/analytics/us/yield-curve
GET /api/analytics/us-eu/inflation
GET /api/analytics/us/macro
GET /api/analytics/market/volatility-regime?lookback_days=252

This product uses the FRED® API but is not endorsed or certified by the Federal Reserve Bank of St. Louis.

Sample: https://api.datanexusai.org/api/v1/macro/eu-inflation-divergence

Member-state HICP YoY vs EA20/EU27 benchmark + MoM from HICP index. Ranked by absolute gap.

Param	Notes
period	Optional (e.g. 2024-08); default = latest

Sample: https://api.datanexusai.org/api/v1/rates/ecb-stance

DFR / MRO / MLFR corridor + €STR−DFR spread + liquidity stance label.

Sample: https://api.datanexusai.org/api/v1/rates/eu-curve-slope

Euro-area AAA curve levels + 10Y−2Y / 30Y−10Y slopes, butterfly, steep/flat/inverted regime.

Sample: https://api.datanexusai.org/api/v1/fx/eurusd-analytics?lookback_days=252

EURUSD multi-horizon returns, annualized vol, percentile, z-score, max drawdown.

Param	Notes
lookback_days	History window (default 252, max 2000)

GET /api/v1/macro/eu-inflation-divergence
GET /api/v1/rates/ecb-stance
GET /api/v1/rates/eu-curve-slope
GET /api/v1/fx/eurusd-analytics?lookback_days=252