🚵 Is It Rideable Partners hub →

Data licensing

The trail-conditions data layer, licensed.

Is It Rideable models whether the dirt is hero, dusty, soft, or too muddy — today and ten days out — for thousands of mountain bike and gravel trails across twelve Western states, plus snow melt-out for the high country. It's built entirely from public weather, terrain, and snowpack data, refreshed daily. You can license that read: pull it into your app, paint your own map layer, put it on a destination page, or let an AI assistant quote it. The honest per-trail answer stays free on our own surfaces — what you're licensing is access to it inside your product.

What the data is

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A per-trail read

One clear answer per trail — hero dirt, tacky, dusty, soft, muddy, snow, snow-free — with a 0–100 score and a condition color, keyed on the trail's name so it lines up with your data.

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A ten-day outlook

Not just today: the same read projected out ten days, so a rider (or a shuttle op, or a DMO page) can answer "when is it good this week?" — the question that actually moves a trip.

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Snow melt-out

For the high trails, percent snow-free and a melt-out estimate — the spring question no trail map answers. The "when does it open" layer, from real snowpack data.

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The reason why

Every read ships with a one-line explanation ("0.10" rain Tue, dried by sun"). Not a black box — a defensible, human-readable rationale you can show your users.

How it's verified

The read is honest by construction: every number traces to a real fetched value — Open-Meteo weather, USGS/Mapzen terrain, NRCS SNOTEL snowpack, USDA soil. Nothing is invented; when a source is missing we say "no data" rather than guess. The model is a transparent heuristic (mud drainage by soil, sun load by aspect and canopy, melt by snowpack), not an opaque score, and it's the same engine that runs our own app — so what you license is exactly what riders see.

We log every prediction against the ground-truth reports riders and trail orgs file, and we publish a public accuracy ledger, predicted-versus-observed, in the open. Diligence-grade provenance is the point: you can show a partner (or a licensee's legal team) precisely where the number came from.

Free to view. Licensed to build on.

The honest per-trail answer is free on our own surfaces, and any trail org or community site can drop in our branded embed widget for free, forever. What's licensed is using the data commercially, on your own terms — pulling the raw feed, rendering it under your brand, querying it at volume, or reaching into its history. Same model as licensed imagery: viewing is free; building a product on it is the paid part.

What a license gets you that the free embed doesn't

License tiers

TierWho it's for & what's includedPrice
Org / Community Trail orgs & land managers. The branded embeds, widgets, and two-way condition sync on your own trails. Free forever
Media widget Publishers & guide sites. Commercial-use license + white-label render + the JSON read, per property. $1,800/yr
Tourism / DMO Destination marketing orgs. The full-region data feed (GeoJSON + CSV) for all your visitor pages, co-branded, + priority support. $6,000/yr
Commercial API Apps, tour & shuttle ops, AI assistants. The read + bulk feed + history at volume, with an SLA. $500–1,500/mo
Founding Licensee The first three to sign — a named logo & a case study, in exchange for the anchor rate. 50% for life
Commercial API priced by region count & volume, billed annually. The DMO license bundles into our Destination tier ($12–36k). Org / Community is, and stays, free — see Organizations. Attribution — a do-follow link back to the trail's page — is required on every tier. Uptime & support terms are written into each commercial agreement.
Founding Licensee · first 3

Anchor the data business.

The first three licensees lock 50% off, for the life of the agreement — in exchange for a named logo on this page and a short case study. You get the anchor rate and first-mover shelf space; we get a reference customer. After the third, list price applies.


See it live

The read is already keyless on our own answer surfaces (that's deliberate — we want to be the source people quote). Try any of these without a key:

An embed widget (drop-in, no key)

This is live — the exact widget, rendering real conditions right now:

<iframe src="https://isitrideable.com/embed-widget?type=trail&name=Horse%20Gulch%20Trail&region=durango&size=bar"
        width="100%" height="64" style="border:0;max-width:520px;border-radius:14px"></iframe>
Height must match the size: &size=bar → 64px · &size=mini → 230px · full (no size) → 400px. The partner API page generates the exact snippet for any size.

The JSON read (keyed — commercial tiers)

GET https://isitrideable.com/api/partner?key=YOUR_KEY&trail=Horse%20Gulch%20Trail&region=durango
→ { "matched": true,
    "trail":  { "name": "Horse Gulch Trail", "url": "https://isitrideable.com/trail/…" },
    "today":  { "label": "Tacky / good", "score": 82, "why": "0.10\" rain Tue, dried by sun", "color": "#39c47a" },
    "outlook": [ … ] }

The region feed (keyed — the paid capability)

A whole region as data you host and render yourself — geometry included. GeoJSON for a map layer, CSV for a spreadsheet:

GET https://isitrideable.com/api/export?key=YOUR_KEY&region=durango&format=geojson
→ { "type": "FeatureCollection",
    "features": [ { "type": "Feature",
                    "geometry": { "type": "MultiLineString", "coordinates": [ … ] },
                    "properties": { "name": "Horse Gulch Trail", "label": "Tacky / good",
                                    "score": 82, "color": "#39c47a", "outlook": [ … ] } } ] }

GET https://isitrideable.com/api/export?key=YOUR_KEY&region=durango&format=csv   # → download

Conditions history (keyed — provenance)

GET https://isitrideable.com/api/history?key=YOUR_KEY&trail=Outback&region=durango&date=2026-06-20
→ { "history": [ { "date": "2026-06-20", "label": "Dusty / loose", "score": 78,
                   "why": "0.04\" rain Mon; W-facing mixed; rain Thu → softening" } ] }

Full reference, an interactive "try it with your trails" panel, a live history demo, the AI-assistant (MCP) layer, and the color set are on the partner API page. Free embeds for everyone are at /embed.

The data stays honest, always. Licensees buy access to the read, never influence over it. A condition score, a ranking, and a closure can't be bought — that wall is exactly why the read is worth licensing. Attribution is mandatory, the honest per-trail answer stays free on our own surfaces, and rider-facing trail closures are free forever.

License the layer.

Tell me your region(s), your product, and how you'd surface the read, and I'll send a key and a quote — or Founding-Licensee terms while the first three seats are open.

Get a key & a quote →