Alphageo

AlphaGeo is an AI-powered geospatial predictive analytics company that quantifies climate risk and adaptation for real assets to guide resilient, future-proof investing. Its enterprise SaaS platform (AlphaGeo Explorer) and public REST Data API deliver location-level and portfolio-level climate risk scores, resilience-adjusted risk, physical hazard layers (heat stress, inland and coastal flooding, hurricanes, drought, wildfire), and financial impact metrics across CMIP6 emission scenarios (SSP245, SSP370, SSP585) and time horizons (2025, 2035, 2050, 2100). The Data API returns per-location scores by address, coordinates, or uploaded asset ID, and portfolio aggregates across an institution's assets. Backed by DCVC, AlphaGeo also ships a Snowflake Native App and an agentic AI co-pilot, "Darwin."

Alphageo is listed with 1 API on the APIs.io network. Tagged areas include Company, Climate, Climate Risk, Geospatial, and Analytics.

Alphageo’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, support, and 18 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

40.4/100 developing ▬ flat Agent 8/100 agent aware Front door AI 4/6 moderate Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

Company Climate Climate Risk Geospatial Analytics Risk Management Real Estate ESG Data Machine Learning

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 40.4/100 · developing

Contract Quality 0.0 / 21

Developer Ergonomics 9.7 / 17

Access Clarity 12.8 / 17

Operational Transparency 4.7 / 11

Contract Governance 0.0 / 10

Discoverability 6.2 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 8/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 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 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

10 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Contract Governance scores 0.0 — up to +12.0 composite points
Developer Ergonomics scores 57.1 — up to +8.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/alphageo/apis.yml: open an issue on github.com/api-evangelist/alphageo to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

AlphaGeo Data API

Public REST API for programmatically accessing AlphaGeo climate risk scoring data for global locations and portfolios. Location-Level Data APIs (Scores/CRRI, Physical Risk, Resi...

Alphageo API pricing

Prices published by Alphageo, read 2026-10-07 from docs.alphageo.ai/partnerships-and-pricing/pricing-guide.

Plan	Price
Platform License: AlphaGeo Explorer Web Platform	Please contact our team for a quote. Includes: Access via AlphaGeo Explorer web platform, including to SaaS-only tools such as the Asset Resilience
Data License: Direct Data Delivery	Please contact our team for a quote. Includes: access to our analytics via API or direct data delivery (e.g., Snowflake, Amazon S3)

Plan details, limits and sources →

Rate limits

Scores (CRRI): 60 requests per minute
Physical Risk: 60 requests per minute
Resilience-adjusted Risk: 60 requests per minute

All 6 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Alphageo Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Alphageo Rate Limits

6 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Alphageo Finops

FINOPS

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Alphageo Authentication

apiKey · 1 scheme

SECURITY

Alphageo Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Alphageo Trust Center

SOC 2

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Conventions

Lifecycle

DataModel

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

Compliance

Security

Authentication

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

aid: alphageo
name: Alphageo
description: AlphaGeo is an AI-powered geospatial predictive analytics company that quantifies climate risk and adaptation
  for real assets to guide resilient, future-proof investing. Its enterprise SaaS platform (AlphaGeo Explorer) and public
  REST Data API deliver location-level and portfolio-level climate risk scores, resilience-adjusted risk, physical hazard
  layers (heat stress, inland and coastal flooding, hurricanes, drought, wildfire), and financial impact metrics across CMIP6
  emission scenarios (SSP245, SSP370, SSP585) and time horizons (2025, 2035, 2050, 2100). The Data API returns per-location
  scores by address, coordinates, or uploaded asset ID, and portfolio aggregates across an institution's assets. Backed by
  DCVC, AlphaGeo also ships a Snowflake Native App and an agentic AI co-pilot, "Darwin."
url: https://raw.githubusercontent.com/api-evangelist/alphageo/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- dcvc
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://app.alphageo.ai/assets/img/svg/alphaGeo-logo.svg
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-09-17
tags:
- Company
- Climate
- Climate Risk
- Geospatial
- Analytics
- Risk Management
- Real Estate
- ESG
- Data
- Machine Learning
tags_raw:
- Company
- Climate
- Climate Risk
- Geospatial
- Analytics
- Risk
- Real Estate
- ESG
- Data
- Machine Learning
- Real-Estate
- Machine-Learning
apis:
- name: AlphaGeo Data API
  description: Public REST API for programmatically accessing AlphaGeo climate risk scoring data for global locations and
    portfolios. Location-Level Data APIs (Scores/CRRI, Physical Risk, Resilience-adjusted Risk, Global Adaptation Layers Risk,
    Financial Impact) resolve by address, latitude/longitude, or uploaded asset_id; Portfolio APIs (Portfolio Scores, Institution
    Assets) aggregate across an institution's assets. All operations are GET and require an Authorization token; an Enterprise
    subscription is required for API access.
  humanURL: https://docs.alphageo.ai/for-developers/alphageo-data-api
  baseURL: https://app.alphageo.ai/api/public/v1
  tags:
  - Climate Risk
  - Geospatial
  - Analytics
  properties:
  - type: Documentation
    url: https://docs.alphageo.ai/for-developers/alphageo-data-api
  - type: APIReference
    url: https://docs.alphageo.ai/for-developers/alphageo-data-api
  - type: Authentication
    url: authentication/alphageo-authentication.yml
  - type: RateLimits
    url: rate-limits/alphageo-rate-limits.yml
  - type: ErrorCatalog
    url: errors/alphageo-problem-types.yml
  - type: Conventions
    url: conventions/alphageo-conventions.yml
  - type: Lifecycle
    url: lifecycle/alphageo-lifecycle.yml
  - type: DataModel
    url: data-model/alphageo-data-model.yml
  - type: X-MCPServerCandidate
    url: mcp/alphageo-mcp.yml
    note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list
      derived from the published API contracts, not an existing server. The scorer already read the manifest and reported
      mcp_server correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
common:
- type: Plans
  url: plans/alphageo-plans-pricing.yml
- type: TrustCenter
  url: security/alphageo-trust-center.yml
- type: Compliance
  url: https://alphageo.ai/security/
- type: Security
  url: https://alphageo.ai/security/
- type: DeveloperPortal
  url: https://docs.alphageo.ai/
- type: Documentation
  url: https://docs.alphageo.ai/
- type: APIReference
  url: https://docs.alphageo.ai/for-developers/alphageo-data-api
- type: GettingStarted
  url: https://docs.alphageo.ai/client-onboarding-guide
- type: Blog
  url: https://alphageo.ai/insights
- type: Pricing
  url: https://docs.alphageo.ai/pricing/pricing-guide
- type: SignUp
  url: https://app.alphageo.ai/trial_setup
- type: Login
  url: https://app.alphageo.ai/
- type: Support
  url: mailto:support@alphageo.ai
- type: TermsOfService
  url: https://alphageo.ai/service-agreement/
- type: PrivacyPolicy
  url: https://www.alphageo-info.com/privacy
- type: Website
  url: https://alphageo.ai/
- type: Authentication
  url: authentication/alphageo-authentication.yml
- type: RateLimits
  url: rate-limits/alphageo-rate-limits.yml
- type: ErrorCatalog
  url: errors/alphageo-problem-types.yml
- type: Conventions
  url: conventions/alphageo-conventions.yml
- type: Lifecycle
  url: lifecycle/alphageo-lifecycle.yml
- type: DataModel
  url: data-model/alphageo-data-model.yml
- type: X-MCPServerCandidate
  url: mcp/alphageo-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: LLMsTxt
  url: llms/alphageo-llms.txt
- type: DomainSecurity
  url: security/alphageo-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Alphageo API — frequently asked questions

Does Alphageo have an API?

Yes. APIs.io lists 1 API from Alphageo, including AlphaGeo Data API.

How do I authenticate with the Alphageo API?

Alphageo uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Alphageo Authentication.

How much does the Alphageo API cost?

APIs.io lists 2 pricing plans for Alphageo, with each plan's price, limits and inclusions under Pricing on this page.

Is the Alphageo API ready for AI agents?

Alphageo has a Kin Score of 40.4 out of 100 (developing) and an Agent Readiness score of 7.9 (agent-aware), scored by API Evangelist on 2026-11-06.

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