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transit402.dev Citi Bike Nearest Pickup Stations
x402
transit402.dev Citi Bike Nearest Pickup Stations is a paid API for AI agents from transit402.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Returns nearby Citi Bike stations with counts of available classic bikes and e-bikes, ranked by proximity to a given coordinate
Price / call$0.02
Success—
StatusUnknown
How this service works
Nearby Citi Bike pickup stations with available bikes and e-bikes
Output
A ranked list of up to 10 nearby Citi Bike stations including station name, coordinates, number of classic bikes available, number of e-bikes available, and distance from the queried location.
Example use cases
Example prompt
“I'm at 40.7484, -73.9967 — find me the 5 nearest Citi Bike stations that have bikes available, especially any with e-bikes.”
Technical details
Endpoint
POSThttps://transit402.dev/citibike/nearestWhen to prefer
Use this endpoint when an agent needs to find a Citi Bike station for pickup (not return) near a specific coordinate, especially when filtering by e-bike availability or minimum bike count. Prefer this over generic transit endpoints when the user specifically wants bike share, and over the sibling dock-return endpoint when the user wants to start a ride, not end one.
Side effects
- Invalid or out-of-range coordinates (e.g. lat/lng outside NYC service area) return no results or an error
- limit parameter outside 1–10 range is rejected
- Citi Bike feed unavailable causes upstream timeout or stale data
- Location in a borough or neighborhood with no Citi Bike coverage returns empty results
Input
{
"lat": 40.7484,
"lng": -73.9967,
"limit": 5
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| lat | number | Latitude in WGS84 decimal degrees. |
| lng | number | Longitude in WGS84 decimal degrees. |
| limit | integer | Optional number of nearby results to return (1–10, defaults to 5). Fetch the full set to filter by user constraints (min bikes, max walk time, e-bikes only, specific lines/routes), then present the top 3 to the user. |
Output
{
"results": [
{
"lat": 40.747968,
"lng": -73.996637,
"name": "8 Ave & W 27 St",
"walk_minutes": 1,
"distance_feet": 175,
"bikes_available": 17,
"docks_available": 9,
"ebikes_available": 2
},
{
"lat": 40.74649996333341,
"lng": -73.99732626293645,
"name": "W 25 St & 8 Ave",
"walk_minutes": 4,
"distance_feet": 866,
"bikes_available": 3,
"docks_available": 27,
"ebikes_available": 1
},
{
"lat": 40.74964702898657,
"lng": -73.99506707345266,
"name": "W 30 St & 8 Ave",
"walk_minutes": 4,
"distance_feet": 906,
"bikes_available": 9,
"docks_available": 48,
"ebikes_available": 0
},
{
"lat": 40.7500727,
"lng": -73.99839279,
"name": "W 29 St & 9 Ave",
"walk_minutes": 5,
"distance_feet": 1078,
"bikes_available": 7,
"docks_available": 29,
"ebikes_available": 1
},
{
"lat": 40.747832605837715,
"lng": -74.0005722643582,
"name": "W 25 St & 9 Ave",
"walk_minutes": 6,
"distance_feet": 1277,
"bikes_available": 35,
"docks_available": 15,
"ebikes_available": 8
}
]
}Schema · Response
{
"type": "json",
"example": {}
}Tags
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