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Precip AI

Precip AI

85

Hyperlocal precipitation and weather API — 1km-resolution rainfall, soil moisture, and soil temperature from radar, satellite, and gauge observations.

API KeyFreemiumJSONBot Blocking: NoneNo CCweatherprecipitationrainfallsoil-moisturehyperlocalgeospatialmcp-serverhistorical-data

Pros

  • + MCP server available — agents can call Precip tools directly via Model Context Protocol
  • + Clean REST JSON responses with lat/lon queries; 17 endpoints covering precip, soil, weather, and map tiles
  • + Observation-based data (radar + gauges) rather than forecast-only — 60% more accurate than HRRR for hourly totals

Cons

  • - No public OpenAPI spec — agents can't auto-discover endpoints without hardcoded tool definitions
  • - API key requires emailing sales ([email protected]); no self-serve signup flow for instant access

Integration

example.py
import requests
API_KEY = "your-api-key"resp = requests.get(    "https://api.precip.ai/v1/weather",    params={"latitude": 37.7749, "longitude": -122.4194},    headers={"x-api-key": API_KEY})data = resp.json()print(data)
Documentation Website

Details

Category
Weather
Pricing
Freemium
Free Tier
Free tier available; contact sales for API key. Paid plans from $49/mo.
Rate Limit
Rate-limited on free tier; contact to upgrade for production use
Verified
2026-03-31

Score Breakdown

Base +50
OpenAPI Spec (No) 0
Auth Complexity (API Key) +10
Response Format (JSON) +10
Bot Blocking (None) +10
No Credit Card (Yes) +5
Completely Free (No) 0
Total 85