---
title: "Rf Air Quality Predict"
method: POST
path: "/api/v1/rf-air-quality/predict"
---

# Rf Air Quality Predict

`POST /api/v1/rf-air-quality/predict`

## Request

- Base URL: `https://www.deepmapai.com`
- URL: `https://www.deepmapai.com/api/v1/rf-air-quality/predict`
- Auth: none declared

Combined RF (WiFi + Starlink) -> AQI ML prediction.

Uses trained GradientBoosting models to predict AQI class,
PM2.5 from WiFi and Starlink independently, and detect
pollution events from RF signal anomalies.

## Headers

- `x-api-key` string

## Request body

- RfAirQualityPredictRequest: Combined RF (WiFi + Starlink) -> AQI ML prediction.
  - `wifi_excess_atten_dB` number: WiFi excess attenuation (dB)
  - `wifi_frequency_ghz` number: WiFi frequency (GHz)
  - `starlink_snr_dev_dB` number: Starlink SNR deviation (dB)
  - `starlink_jitter_ms` number: Starlink latency jitter (ms)
  - `humidity_pct` number: Relative humidity (%)
  - `temperature_c` number: Temperature (C)
  - `rain_rate_mmh` number: Rain rate (mm/h)
  - `cloud_cover_pct` number: Cloud cover (%)
  - `inversion_index` number: Temperature inversion index (0-10)
  - `use_demo` boolean

## Response `200`

Successful Response

- unknown

## Other responses

- `422`: Validation Error

---

[API](https://skmtc.dev/deepmapai/apis/deepmap-ai.md) · [All operations](https://skmtc.dev/deepmapai/apis/deepmap-ai/llms.txt) · [OpenAPI document](https://skmtc.dev/deepmapai/apis/deepmap-ai/revisions/dab995d977d0?raw)