kimo
Intelligence

OpenStreetMap + Kimo

Infrastructure, borders and points of interest. Stream open-source and sensor feeds into one correlated picture, with entities, places and timelines.

Auth
API key
Sync
Weekly
Setup
≈ 3 min
Request access

Live demo workspace with fictional data · no signup, no credentials needed

kimo / connectors / osmSyncing
Sync logweekly
  • Succeeded:items+445 rowsnow
  • Succeeded:geotags+1,226 rows2m ago
  • Succeeded:entities+2,007 rows4m ago
  • Succeeded:items+388 rows6m ago
Rows synced · 30 days
139.5M
Workspaces
25%
Simulated demo data
What you can do

What teams build with OpenStreetMap

OpenStreetMap on its own answers half the question. Joined with the rest of your stack in Kimo, it answers the other half.

01

Geolocated activity

Plot items and entities on the map with precision radii and time sliders.

Heatmap by AOI
02

Entity correlation

Link people, vessels, organisations and places across feeds automatically.

Co-occurrence graph
03

Narrative velocity alerts

Detect when a topic or entity accelerates beyond its baseline in a region.

z-score > 3
Objects & tables

Exactly what gets synced

Kimo maps OpenStreetMap into clean, typed tables with primary keys and incremental cursors, so syncs stay fast and joins just work.

3 tables · 13 fields

items

Incremental≈ 492,000 rows
FieldTypeNotes
item_ididPrimary key
sourceenumLow-cardinality dimension
published_attimestampIncremental cursor
languageenumLow-cardinality dimension
textstring
Custom fields and extra objects are discovered automatically on each sync. Row counts are illustrative.
Sample model

From raw OpenStreetMap tables to a certified metric

A starter model Kimo suggests the moment OpenStreetMap is connected. Every join is editable.

OpenStreetMap · Regional activity

Items and entities joined with geotags and other feeds on entity id and time window.

Template
  • OpenStreetMap
    items
  • Apache Kafka
    topic.events
Model
entity_id · 15-min window
Measuresitemsflagged
Items ingested · last 30 days
56K+6.4% wk/wk

Fictional data · hover the chart for daily values

Setup

Connect OpenStreetMap in 3 min

No engineers, no pipelines to maintain. Kimo asks for the minimum access it needs and tells you exactly what it will read.

  1. 1

    Create a read-only key in OpenStreetMap

    Use a dedicated key scoped to read access, so it can be rotated independently.

  2. 2

    Paste it into Kimo

    Keys are encrypted with a per-workspace key and never shown again.

  3. 3

    Choose streams

    Pick which objects to sync, starting with items.

  4. 4

    Validate and sync

    Kimo tests the key, backfills history and keeps it fresh (weekly).

Read-only, encrypted, revocable. Credentials are encrypted with a per-workspace key, never logged, and can be rotated without breaking your models.

Connect OpenStreetMap
Step 2 of 3 · Kimo demo workspace
  • Reaching host
  • Authenticating
  • Reading schema
Read-only access
Illustration only · placeholder values, never real secrets
FAQ

OpenStreetMap questions, answered

By default Kimo syncs OpenStreetMap weekly. You can change the schedule per table, or trigger a sync manually from the connector page.

OpenStreetMap · API key · Weekly

See your OpenStreetMap data in Kimo in 3 min.

Try it on the live demo workspace first, then connect your own account when you are ready.

Request access