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Developer Center

Build storage, compute, and AI workloads with APIs, SDKs, templates, and protocol objects.

QUICK START

Create Your First Deployment in Four Steps

Declare the workload, request a resource plan, confirm authorization, then track workloads and proofs through the event stream.

  1. 01Initialize SDK
  2. 02Declare Resources
  3. 03Confirm Authorization
  4. 04Subscribe to Events
import { STAI } from "@stai/sdk";

const stai = new STAI({ environment: "testnet" });

const deployment = await stai.deploy({
  workload: "ai-dataset-storage",
  storage: "20TB",
  replicas: 2,
  regions: ["ap-southeast", "ap-east"]
});
API TESTNET128 ms
API OPERATIONALSDK v0.4.2SCHEMA 2026.09LAST EVENT 04s AGO
APICore Objects and Endpoints
v0.4
POST/v1/deployments

Create a deployment draft and return a resource plan

JSON
GET/v1/network/capacity

Query regional and node capabilities

JSON
GET/v1/nodes/{id}/metrics

Read node operating metrics

JSON
GET/v1/proofs/{id}

Read contribution proofs and relationship traces

JSON
POST/v1/authorizations

Create an authorization summary for a controlled action

JSON
PROTOTYPE WORKBENCH

Operate the deterministic media lifecycle

Inspect upload, delivery, failure recovery, proof, and deletion using simulated scenario data.

Explore Media Gateway →
PROTOTYPE

AI Video Factory

Deterministic simulated experiment. It does not create:

  • Real video
  • Real model invocation
  • Cloud or GPU job
  • Media Gateway data-plane write
  • Production API key
  • Charge or billing record
Explore AI Video Factory