Akeyless
Akeyless is a cloud-native identity security platform that unifies secrets management, machine identity, and privileged access for AI agents, machines, and humans at scale. The platform provides a REST API with 200+ endpoints covering secrets vaulting, dynamic secrets generation, certificate lifecycle management, encryption and multi-cloud KMS, and SSH access governance. Built on patented Distributed Fragments Cryptography (DFC) technology, Akeyless delivers zero-knowledge, quantum-safe security without requiring central key storage. The API supports multiple authentication methods including AWS IAM, Azure AD, GCP, Kubernetes, SAML, OIDC, LDAP, and API key authentication.
Akeyless publishes 1 API on the APIs.io network: v2 API. Tagged areas include Secrets Management, Zero Trust, Cloud Security, Identity Security, and Machine Identity.
The Akeyless catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
Akeyless’ developer surface includes documentation, engineering blog, pricing, and 11 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Akeyless v2 API
The v2 API from Akeyless — 256 operation(s) for v2.
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Akeyless Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Akeyless Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Akeyless Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Akeyless API Rules
SPECTRALJSON Schema 3
Standalone JSON Schema definitions for this provider's data models.
Examples 4
Example request and response payloads for these APIs.
Akeyless Auth Example
EXAMPLESecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
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 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type