n_sectors_with_data field surfaces how many sectors contributed to that period's total.include_breakdown=false drops per-sector values from each row (smaller payload, less transparency). Cached 5 minutes via cache_async_lock_for double-check (mirror of /cross/transatlantic).x-api-key: ********************curl --location 'https://sugra.ai/api/v1/cross/total-nbfi/by-country/lu?include_breakdown=undefined&periods=undefined' \
--header 'x-api-key: <api-key>'{
"data": {
"country": "LU",
"name": "Luxembourg",
"upper_period": "2025-Q4",
"coverage": {
"S122_banks": "string",
"S123_mmf": "string",
"S124_funds": "string",
"S128_insurance": "string",
"S129_pension": "string"
},
"data_partial": false,
"missing_sectors": [],
"rows_count": 20,
"rows": [
{
"period": "2025-Q4",
"total_eur_mn": 5641135,
"n_sectors_with_data": 5,
"breakdown": {
"S122_banks": 0,
"S123_mmf": 0,
"S124_funds": 0,
"S128_insurance": 0,
"S129_pension": 0
}
}
]
},
"meta": {
"endpoint": "/api/v1/fred/us/cpi",
"data_time": "2026-04-16T14:30:00Z",
"response_time": "2026-04-16T14:30:12Z",
"provider": "Sugra API v1.0.1",
"source": "string",
"attribution": "string",
"fallback_used": true,
"fallback_chain": [
"string"
],
"cached": true,
"stale": true
}
}