Drop a coordinate and a timestamp. Our AI figures out the rest — weather, air quality, what to wear, and a summary that actually sounds human.
{ "location": { "lat": 40.7128, "lon": -74.006 }, "weather": { "temp_f": 65, "feels_like": 68, "wind_mph": 4, "precip_pct": 0 }, "air_quality": { "aqi": 112, "category": "unhealthy_sg" }, "clothing": ["light layers", "sun hat"], "ai_summary": "You'll be warm at the plate…" }
Our agentic AI pipeline orchestrates premium data sources and large language models into a single 2-second call. No glue code required.
Premium forecast data with hourly resolution. Automatic metric-to-imperial conversion based on locale.
US EPA AQI scale with six pollen types (grass, tree, weed, mold…) and per-type severity classification.
Our proprietary LLM pipeline generates context-aware, sport-specific commentary. Falls back gracefully with zero downtime.
Rule-based recommendations across 7 temperature ranges. Sport-specific gear. Automatic health alerts layered in.
Government-issued alerts piped through in real time with automatic retry logic and exponential backoff.
Parallel upstream calls, ~2s average response, stateless architecture. Horizontally scales to whatever you throw at it.
You send coordinates. We orchestrate the data stack. You get a rich JSON payload that's ready to render.
Any HTTP client works. Pass a latitude, longitude, datetime, and an optional sport hint.
A swarm of specialized AI agents fan out across premium data sources, reason about conditions in real time, and synthesize everything into a single coherent response.
A single well-typed JSON object. Render it directly or compose it into your own UI.
Left: the raw response. Right: the same data dropped into a real mobile app UI. This is what RosterPro ships today.
{ "request_id": "req_7fK2mZqX9aH", "location": { "lat": 40.7128, "lon": -74.0060, "timezone": "America/New_York" }, "weather": { "condition": "mostly_sunny", "temp_f": 65, "feels_like_f": 68, "wind_mph": 4, "precip_chance": 0.0, "uv_index": 6 }, "air_quality": { "aqi": 112, "category": "unhealthy_for_sensitive_groups", "primary_pollutant": "ozone" }, "pollen": { "tree": "high", "grass": "moderate" }, "clothing": [ "light long-sleeve", "breathable pants", "sun hat" ], "alerts": [], "ai_summary": "You'll be warm at the plate with a feels-like 68°F temperature, but poor air quality may affect your breathing, so take breaks as needed." }
Any product with a schedule and an outdoor component. Plug in once, get context everywhere.
Game-day weather for practices, games, and tournaments — right where parents already check the schedule.
Festivals, concerts, weddings — give organizers weather-aware planning and attendees day-of confidence.
Advise runners, cyclists, and hikers on optimal windows — or warn them off when conditions aren't right.
Start free, upgrade when you're ready. All plans include the full data stack — paid tiers unlock higher volume and AI summaries.
We aggregate multiple premium weather, air quality, and environmental data providers — curated for accuracy and coverage. Our agentic AI layer reasons across all signals and generates the natural-language summary. All requests fan out in parallel for speed.
Median response time is ~2 seconds end-to-end, including the LLM generation step. p95 sits around 3.4s. If you skip the AI summary, typical responses are under 600ms.
No. All data provider access is fully managed and included in every plan. Enterprise customers can optionally bring their own credentials if they have existing commercial arrangements.
We degrade gracefully. The response always returns with whatever data we successfully gathered, and a _partial flag tells you which fields were unavailable. Your UI never has to handle a hard failure.
Rate limits scale with your plan. Free: 10 req/min. Personal: 60 req/min. Team: 600 req/min. Enterprise: unlimited, with custom burst allowances.
Yes. The sport field is entirely optional. Without it, the AI summary becomes a general-purpose outdoor advisory. We have customers building event platforms, delivery logistics, and even solar-panel monitoring on top of the API.
Generate an API key, paste the endpoint into your code, and start returning smarter responses before your coffee gets cold.