Decisions API Beta
— DEDICATED API ACCESS —

Decisions API Beta

Specialized decision-tree inference engine delivering predictable JSON outputs, deterministic workflow evaluations, and ultra-low per-token costs for automated business logic.

$5.00 / 1M tokens Active Endpoint
Decisions API Beta
CRITICAL SPECIFICATIONS At a Glance
Latency Performance
Sub-140ms Response
Context Capacity
128K Token Window
Starting Rate
$5.00 / 1M Tokens

High-Speed Structured Decision Engine

Decisions API Beta focuses directly on deterministic reasoning loops, structured schema validation, and instant branch resolution. Unlike sprawling general-purpose LLMs that introduce excessive token overhead during plain classification tasks, this specialized engine processes multi-variable business rules and JSON payloads with strict conformance to developer-defined TypeScript and OpenAPI specifications.

Strict Schema Enforcement Guaranteed valid JSON structures adhering to JSON Schema without runtime repair passes or broken payloads.
Cost-Efficient Logic Routing Optimized parameter architecture slashing token expenses while sustaining 800+ requests per second across active nodes.

Technical Capabilities & Interface Specs

Architected for backend microservices, real-time fraud scoring, support triage automation, and complex state machine orchestrations, the gateway guarantees predictable latency profiles even under peak burst loads.

Model Version Decisions-Engine-v1.4-Beta
Maximum Context Window 128,000 Tokens (128K)
Throughput Quota Up to 25,000 RPM / 2,000,000 TPM
Authentication Mode Bearer Token via Hardware-Isolated KMS
— INSTANT ACTIVATION —

Acquire Dedicated API Gateway

Select your required monthly token tier to provision high-throughput API keys with guaranteed SLA routing.

  • Zero provisioning latency
  • Automated token balancing
  • Direct REST and SDK endpoints
Format: (555) 019-2834
99.98% Uptime SLA Redundant cloud clusters
Encrypted Key Storage Hardware security modules
Automated Quotas Dynamic scale control

Frequently Asked Questions

The model uses constrained decoding at the sampling layer, ensuring every generated token strictly conforms to the supplied JSON schema definition without needing post-processing or retry logic.

Typical median latency sits around 110ms to 140ms for standard classification and branching payloads under 4K input tokens when routed through our global edge cluster.

Yes, throughput quotas adjust automatically based on account billing tiers, with dedicated rate limiter policies to prevent unexpected throttling.