Owned hardware.
x402-native billing.
iJarvis Compute is agent-accessible inference on dedicated iJarvis hardware. It sits between DePIN networks (which have sybil risk) and hyperscalers (which have opaque pricing): a known operator running specific hardware with specific model versions, settled via x402 micropayments at agent-economy prices.
iJarvis Compute provides four primitives
Per-token x402 pricing
$0.0001 per 1K tokens on most models. 100x cheaper than hyperscale APIs. Paid via x402 on the same request.
Specific model versions
Llama 3.3 70B, Qwen 2.5 72B, GPT-OSS 120B, Mistral Large, iAgentFi specialized models. Versions pinned and disclosed.
Reliability SLA
99.5% uptime SLA on paid tiers, backed by multi-rig failover. DePIN networks can't match; hyperscalers charge 10-100x more.
Agent-first posture
No human-centric rate limits. No API key gymnastics. Agents present x402 payment, receive inference. One integration, every model.
The gap iJarvis Compute fills
DePIN has verification problems
io.net, Akash, Hyperbolic all struggle with trust-minimized output verification. iJarvis Compute has a single operator with an identifiable reputation and an auditable answer for where any given query ran.
Hyperscalers are priced for humans
OpenAI charges $10-30 per million tokens. Agents running millions of queries per day can't afford that. iJarvis Compute is built for agent-economy unit economics.
Residual revenue on idle cycles
Spare cluster capacity serves external demand. Not the primary play, but material secondary revenue.
Planned endpoints in Shipping Q3 2026
Preview of the planned API surface. OpenAPI 3.1 specification at /.well-known/openapi.yaml. Endpoints at api.compute.ijarvis.ai will serve requests at shipping q3 2026; agent-consumable JSON by design.
POST /v1/inference |
Run inference on any supported model |
GET /v1/models |
List available models with pricing |
GET /v1/stats |
Public uptime + latency statistics |
POST /v1/batch |
Submit batched inference job for lower pricing |
GET /v1/usage |
Per-API-key usage analytics |
iJarvis Compute is one layer
Sixteen products. One stack. One entity. Trust, discovery, observability, payments, safety, simulation, composition, memory, identity, legal, markets, and owned compute underneath. Each layer reinforces the others. Use one or use them all.