Phala Network
Phala Network (Phala Cloud) runs confidential computing infrastructure built on Trusted Execution Environments (Intel TDX, NVIDIA GPU TEE) and the open-source dstack framework. Developers deploy Docker workloads as confidential VMs (CVMs) through the Phala Cloud API, CLI and SDKs, verify them with remote attestation and on-chain KMS, and call attested Private AI models through an OpenAI-compatible inference API at inference.phala.com.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Phala Network the way a machine reads it — 24 machine-readable artifacts across 1 API, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Phala Network scores 55.3/100 (strong), with a separate agent-readiness read of 30/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-10-17 · rubric v0.24.0
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</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Phala Network
Each block below is one kind of artifact we hold for Phala Network. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 11
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Phala Private AI API
OpenAI-compatible confidential inference API (chat completions, responses, Anthropic-format messages, completions, embeddings, models) served from GPU TEEs, plus attestation rep...
Phala Network Apps API
App template management and CVM deployment from app blueprints
Phala Network Apps Kms Info API
The apps-kms-info API from Phala Network — 1 operation(s) for apps-kms-info.
Phala Network Apps Pending Updates API
The apps-pending-updates API from Phala Network — 2 operation(s) for apps-pending-updates.
Phala Network Attestations API
Remote attestation and TEE verification endpoints
Phala Network CVMs API
Confidential Virtual Machine (CVM) lifecycle management on Phala Network
Phala Network Cvms Network Config API
The cvms-network-config API from Phala Network — 3 operation(s) for cvms-network-config.
Phala Network Instance Types API
Available hardware configurations for CVM deployment
Phala Network KMS API
Key Management Service — key derivation, on-chain anchoring, and inspection
Phala Network SSH Keys API
SSH public key management for CVM access
Phala Network Webhooks API
Manage webhook endpoints and monitor delivery history
Scroll within the panel for all 11 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Phala Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Phala Network API Rules
SPECTRALJSON Schema 6
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
CVMInfoDetail
JSON SCHEMAProvisionComposeFileUpdateRequest
JSON SCHEMAProvisionDstackAppRequestV2
JSON SCHEMACvmBasicInfo
JSON SCHEMACVMInfo
JSON SCHEMAUpdateCvmRequest
JSON SCHEMASecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Phala Network — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 7
Authentication, authorization, and security posture
Scroll within the panel for all 7 ·
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/phala · machine-readable index on apis.io
This is an independent, third-party profile of Phala Network, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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