Mantari

Mantari is a weather-intelligence and earth-sensing company building a decision-intelligence platform that fuses a distributed network of sensors with AI to turn environmental data across oceans, skies, and space into mission-critical, actionable intelligence. It initially targets government and defense decision support, with plans to extend into broader economic and commercial applications. As of this profile Mantari publishes a marketing homepage and a careers page but no public API, developer portal, documentation, or SDKs; this record captures its identity plus a live domain-security probe, pending a future developer surface.

Mantari is profiled on the APIs.io network. Tagged areas include Company, Weather Intelligence, Earth Observation, Sensors, and Artificial Intelligence.

5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-21 · rubric v0.12.0
0 APIs
CompanyWeather IntelligenceEarth ObservationSensorsArtificial IntelligenceGeospatialDecision IntelligenceDefense

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-21 · rubric v0.12.0
Composite quality — 5.0/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Access Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Contract Governance 0.0 / 12
Discoverability 5.0 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/mantari: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Mantari Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: mantari
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/mantari.png
name: Mantari
description: Mantari is a weather-intelligence and earth-sensing company building a decision-intelligence platform that fuses
  a distributed network of sensors with AI to turn environmental data across oceans, skies, and space into mission-critical,
  actionable intelligence. It initially targets government and defense decision support, with plans to extend into broader
  economic and commercial applications. As of this profile Mantari publishes a marketing homepage and a careers page but no
  public API, developer portal, documentation, or SDKs; this record captures its identity plus a live domain-security probe,
  pending a future developer surface.
url: https://raw.githubusercontent.com/api-evangelist/mantari/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- homebrew
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Weather Intelligence
- Earth Observation
- Sensors
- Artificial Intelligence
- Geospatial
- Decision Intelligence
- Defense
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/mantari-domain-security.yml
- type: Website
  url: https://www.mantari.com
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1

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