TBS Weather & Climate API – River Discharge & Flood Risk Forecast is a paid API for AI agents from x402.tbs-digital.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-09).
Returns current river discharge (m³/s) and flood-risk statistics (mean, median, max, min, percentiles) for the nearest river to any lat/lon or city, powered by Copernicus GloFAS at 5 km grid resolution.
River discharge and flood-risk forecast (Copernicus GloFAS, 5 km grid) for the nearest river to any lat/lon. Returns current river discharge in cubic meters per second (m3/s) plus mean, median, max, min and 25/75 percentiles. Hydrology and natural-disaster data for flood forecasting, insurance, agriculture and river logistics.
Returns a JSON object with the flood sub-object containing current river discharge in m³/s plus statistical measures (mean, median, max, min, 25th and 75th percentiles), alongside location metadata (lat, lon, name, country), data source attribution, request ID, and generation timestamp.
GEThttps://x402.tbs-digital.com/weather/flood?utm_source=zero.xyzChoose this endpoint when you need river discharge and flood-risk hydrological data specifically from the Copernicus GloFAS model at 5 km resolution. It is the right choice for flood insurance risk assessment, agricultural flood planning, river logistics, and natural disaster preparedness workflows where probabilistic discharge statistics (percentiles) are needed. Prefer it over generic weather APIs that lack hydrological river data, or over coastal/marine endpoints when the risk is riverine rather than oceanic.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"flood": {
"river_discharge_m3s": 42.5,
"river_discharge_max_m3s": 61,
"river_discharge_min_m3s": 22.4,
"river_discharge_p25_m3s": 31,
"river_discharge_p75_m3s": 47,
"river_discharge_mean_m3s": 38,
"river_discharge_median_m3s": 37.2
},
"payer": {
"address": "0x0000000000000000000000000000000000000000",
"network": "base"
},
"source": "open-meteo",
"location": {
"lat": 48.85,
"lon": 2.35,
"name": "Paris",
"country": "FR"
},
"request_id": "0b21c0e6-6a3f-4e2a-8b1e-2f9d4c7a1e55",
"generated_at": "2026-08-09T12:00:00.000Z"
}
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