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GeoInsight
GeoInsight GmbH is a German geospatial-AI company running a Data-as-a-Service platform built on a Discrete Global Grid System (DGGS). It converts Earth-observation and vector data into AI-ready hierarchical hexagonal "Spatial Tokens" so that models can reason about geography the way language models reason about text. The platform is exposed through a standards-compliant OGC API - DGGS endpoint that answers zone-based queries across multiple DGGRS (H3, ISEA3H, IGEO7, IVEA3H), serving Sentinel-2 and Landsat imagery from the Copernicus and USGS archives, RADARSAT Constellation backscatter, Overture administrative boundaries, AIS vessel positions, building footprints and elevation models. Queries return GeoJSON, DGGS-JSON, GeoParquet or HTML, with CQL2 filtering, COG raster statistics and STAC search strategies. Target markets are OSINT and maritime intelligence, climate and environment, agriculture and food security, infrastructure and urban planning, disaster response, and finance and risk. The company is an NVIDIA Inception member and participates in the OGC AI-DGGS pilot programme.
GeoInsight publishes 1 API on the APIs.io network: OGC API - DGGS. Tagged areas include Geospatial, DGGS, Discrete Global Grid System, Earth Observation, and Remote Sensing.
GeoInsight’s developer surface includes documentation, API reference, sandbox, support, authentication, and 20 more developer resources.
1 APIs
Geospatial DGGS Discrete Global Grid System Earth Observation Remote Sensing Spatial Data GIS Artificial Intelligence Machine-Learning Analysis-ready data Spatial Tokens Sentinel-2 Copernicus OGC STAC GeoParquet H3
On this page
Kin Score
APIs 1
Pricing Plans 1
Rate Limits 1
Security Posture 2
Agentic Access 1
Resources 25
apis.yml
0 Operational Transparency
Composite quality — 36.7/100 · thin
Contract Quality
7.6 / 21
Developer Ergonomics
10.0 / 17
Operational Transparency
0.0 / 11
Contract Governance
1.7 / 10
Regulatory Posture
5.1 / 15
Agent readiness — 37/100 · agent ready
Machine-Readable Contract
18 / 18
Agentic Access Contract
10 / 10
Documented Reversibility
0 / 6
MCP Server
0 / 12
Machine-Readable Auth
10 / 10
Idempotency
0 / 9
Stable Error Semantics
8 / 8
Request/Response Examples
0 / 7
Rate-Limit Signaling
7 / 7
Typed Event Surface
0 / 6
Agent Skills
5 / 5
Well-Known Catalog
0 / 4
Consent & Bot Identity
0 / 3
A2A Agent Card
0 / 8
Dry-Run / Simulate Mode
0 / 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Published pricing tiers and plan structures.
Documented rate limits and quota policies.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Recommended x-agentic-access execution contracts for AI agents.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
name: GeoInsight
description: GeoInsight GmbH is a German geospatial-AI company running a Data-as-a-Service platform built on a Discrete Global
Grid System (DGGS). It converts Earth-observation and vector data into AI-ready hierarchical hexagonal "Spatial Tokens"
so that models can reason about geography the way language models reason about text. The platform is exposed through a standards-compliant
OGC API - DGGS endpoint that answers zone-based queries across multiple DGGRS (H3, ISEA3H, IGEO7, IVEA3H), serving Sentinel-2
and Landsat imagery from the Copernicus and USGS archives, RADARSAT Constellation backscatter, Overture administrative boundaries,
AIS vessel positions, building footprints and elevation models. Queries return GeoJSON, DGGS-JSON, GeoParquet or HTML, with
CQL2 filtering, COG raster statistics and STAC search strategies. Target markets are OSINT and maritime intelligence, climate
and environment, agriculture and food security, infrastructure and urban planning, disaster response, and finance and risk.
The company is an NVIDIA Inception member and participates in the OGC AI-DGGS pilot programme.
image: https://geoinsight.ai/og-image.png
url: https://raw.githubusercontent.com/api-evangelist/geoinsight/refs/heads/main/apis.yml
created: '2026-08-20'
modified: '2026-08-20'
specificationVersion: '0.21'
tags:
- Geospatial
- DGGS
- Discrete Global Grid System
- Earth Observation
- Remote Sensing
- Spatial Data
- GIS
- Artificial Intelligence
- Machine-Learning
- Analysis-ready data
- Spatial Tokens
- Sentinel-2
- Copernicus
- OGC
- STAC
- GeoParquet
- H3
tags_raw:
- Geospatial
- DGGS
- Discrete Global Grid System
- Earth Observation
- Remote Sensing
- Spatial Data
- GIS
- AI
- Machine Learning
- Analysis-ready data
- Spatial Tokens
- Sentinel-2
- Copernicus
- OGC
- STAC
- GeoParquet
- H3
apis:
- name: OGC API - DGGS
description: 'Standards-compliant OGC API - Discrete Global Grid Systems endpoint exposing the GeoInsight Spatial Token
store for zone-based queries. Fourteen read operations across four resource families: a landing page and service description,
a collection catalogue (22 published collections), the DGGRS registry (H3, ISEA3H via both DGGRID and DGGAL, IGEO7, IVEA3H),
zone discovery and zone data retrieval with relative-depth aggregation, and an OGC API - Features style /items surface
backed by a GeoParquet lake with CQL2 filtering. Zone data requests accept COG raster statistics parameters (band, no-data,
sampling factor, all-touched) and STAC search strategies (single, latest, mosaic) with cloud-cover and intersection thresholds.
Reads answer anonymously at the time of probing; the official Python package documents a GeoInsight Personal Token (GPT)
plus API Private Key (APK) issued from the dashboard.'
humanURL: https://api.geoinsight.ai/api?f=html
baseURL: https://api.geoinsight.ai
tags:
- Geospatial
- DGGS
- Discrete Global Grid System
- Earth Observation
- Remote Sensing
- Spatial Data
- GIS
- Artificial Intelligence
- Machine-Learning
- Analysis-ready data
- Spatial Tokens
- Sentinel-2
- Copernicus
- OGC
- STAC
- GeoParquet
- H3
tags_raw:
- Geospatial
- DGGS
- Discrete Global Grid System
- Earth Observation
- Remote Sensing
- Spatial Data
- GIS
- AI
- Machine Learning
- Analysis-ready data
- Spatial Tokens
- Sentinel-2
- Copernicus
- OGC
- STAC
- GeoParquet
- H3
properties:
- type: OpenAPI
url: openapi/geoinsight-ogc-api-dggs-openapi.yml
- type: Documentation
url: https://api.geoinsight.ai/api?f=html
- type: APIReference
url: https://api.geoinsight.ai/api?f=html
- type: Authentication
url: authentication/geoinsight-authentication.yml
- type: Conventions
url: conventions/geoinsight-conventions.yml
- type: DataModel
url: data-model/geoinsight-data-model.yml
- type: ErrorCatalog
url: errors/geoinsight-problem-types.yml
- type: Overlay
url: overlays/geoinsight-ogc-api-dggs-overlay.yaml
- type: ToolCrosswalk
url: mcp/geoinsight-tool-crosswalk.yml
common:
- type: AgenticAccess
url: agentic-access/geoinsight-agentic-access.yml
- type: Website
url: https://geoinsight.ai/
- type: DeveloperPortal
url: https://dggs.io/
- type: Documentation
url: https://api.geoinsight.ai/api?f=html
- type: APIReference
url: https://api.geoinsight.ai/api?f=html
- type: Sandbox
url: https://dggs.io/api-tester
- type: TermsOfService
url: https://geoinsight.ai/terms
- type: PrivacyPolicy
url: https://geoinsight.ai/privacy
- type: Support
url: mailto:info@geoinsight.ai
- type: OpenAPI
url: openapi/geoinsight-ogc-api-dggs-openapi.yml
- type: Authentication
url: authentication/geoinsight-authentication.yml
- type: Conventions
url: conventions/geoinsight-conventions.yml
- type: DataModel
url: data-model/geoinsight-data-model.yml
- type: ErrorCatalog
url: errors/geoinsight-problem-types.yml
- type: Lifecycle
url: lifecycle/geoinsight-lifecycle.yml
- type: Conformance
url: conformance/geoinsight-conformance.yml
- type: Overlay
url: overlays/geoinsight-ogc-api-dggs-overlay.yaml
- type: Packages
url: packages/geoinsight-packages.yml
- type: SDKs
url: packages/geoinsight-packages.yml
- type: ToolCrosswalk
url: mcp/geoinsight-tool-crosswalk.yml
- type: LLMsTxt
url: llms/geoinsight-llms.txt
- type: AgentSkill
url: skills/_index.yml
- type: Plans
url: plans/geoinsight-plans-pricing.yml
- type: RateLimits
url: rate-limits/geoinsight-rate-limits.yml
- type: DomainSecurity
url: security/geoinsight-domain-security.yml
maintainers:
- FN: GeoInsight GmbH
email: info@geoinsight.ai
url: https://geoinsight.ai/
- FN: Dr. Michael Jendryke
email: michael.jendryke@geoinsight.ai
url: https://www.linkedin.com/in/michaeljendryke/
- FN: Dr. Gino Caspari
email: gino.caspari@geoinsight.ai
url: https://www.linkedin.com/in/ginocaspari/
- FN: João Manuel
email: joao.manuel@geoinsight.ai
url: https://www.linkedin.com/in/joaocsmanuel/
generated:
by: apis.io/add
model: claude-opus-4-8
confidence: 72
at: '2026-08-20T10:24:21.039Z'
x-enrichment:
date: '2026-08-20'
status: enriched
artifacts_added: 22
pass: local-v1
x-contract-discovery:
date: '2026-08-20'
finding: The baseURL this repo was created with, https://dggs.geoinsight.ai, is dead - it resolves, presents a self-signed
"Kubernetes Ingress Controller Fake Certificate", and returns an nginx 404 on every path including /api?f=json, /api?f=html,
/collections and /conformance. The live OGC API - DGGS endpoint is https://api.geoinsight.ai, found by reading the JavaScript
bundle of GeoInsight's own dggs.io tooling site. It serves a real OpenAPI 3.1.0 document with 14 operations at /api?f=json
under the OGC rel=service-desc relation. Ownership is proven from the service's own root document, which declares title
"OGC DGGS API" and attribution "GeoInsight" - not from the fetch host - and the host carries a valid Sectigo wildcard
certificate for *.geoinsight.ai.
evidence:
- url: https://dggs.geoinsight.ai/api?f=json
status: 404
note: apis.yml original baseURL - dead, fake ingress certificate
- url: https://dggs.geoinsight.ai/
status: 404
- url: https://api.geoinsight.ai/
status: 200
note: 'Root document: title "OGC DGGS API", attribution GeoInsight'
- url: https://api.geoinsight.ai/api?f=json
status: 200
note: OpenAPI 3.1.0, 14 operations, 28 schemas - saved
- url: https://api.geoinsight.ai/collections?f=json
status: 200
note: 22 live collections
- url: https://api.geoinsight.ai/dggs?f=json
status: 200
note: '5 DGGRS: H3, ISEA3HDGGRID, ISEA3HDGGAL, IGEO7, IVEA3H'
- url: https://api.geoinsight.ai/conformance
status: 500
note: OGC-required conformance declaration fails
- url: https://api.geoinsight.ai/graphql
status: 404
- url: https://api.geoinsight.ai/mcp
status: 404
note: POST tools/list
- url: https://mcp.geoinsight.ai/mcp
status: 404
note: POST tools/list
- url: https://api.geoinsight.ai/.well-known/agent-card.json
status: 404
- url: https://geoinsight.ai/.well-known/agent-card.json
status: 404
- url: https://dggs.io/.well-known/agent-card.json
status: 404
- url: https://docs.geoinsight.ai/
status: 404
note: Docs host named in the API root attribution - dead, fake ingress certificate
- url: https://dashboard.geoinsight.ai/
status: 404
note: Credential-issuance host named in the official PyPI README - dead
- url: https://api.github.com/orgs/geoinsight
status: 404
note: No public GitHub organization
- url: https://pypi.org/pypi/geoinsight/json
status: 200
note: First-party Python SDK, v0.8.1, last released 2024-04-16