Skip to main content
AI_RELIABILITY_CONTROL_PLANE // BETA_VISION

HUBAPI

AI Reliability Control Plane for Multi-Model Systems

Unify LLM providers, MCP servers, routing policies, cost analytics, and request observability behind one OpenAI-compatible control layer.

Built for teams that need more than a model proxy: BYOK, server-side MCP, task-aware routing, fallback, traces, cost visibility, and repeatable AI workflows.

heroSubtitleCost

OpenAI-CompatibleProvider GovernanceMCP-Native OrchestrationTask-Aware RoutingBYOK-First Infrastructure
Join Community DebateGitHub Discussions
Support & View LaunchProduct Hunt
SUPPORTED PAYMENTS AT LAUNCHLOCAL & GLOBAL
CREDIT_CARD
WALLETS // E-CASH
FAWRY (SOON)

Pre-launch preview. Product screens and API examples are simulated to demonstrate the planned beta experience.

Neural Core Robot
API_QUICKSTART // PREVIEW

Call multiple LLM providers through one planned API layer

HUBAPI is designed to let developers keep their existing LLM SDK workflow while routing requests through a unified gateway during the private beta.

Pre-launch API preview

Example interface — endpoint structure and model availability may change during beta.

api-quickstart.ts
import OpenAI from "openai"; const client = new OpenAI({  baseURL: "https://api.hubapi.ai/v1",  apiKey: process.env.HUBAPI_KEY}); const response = await client.chat.completions.create({  model: "routing/bug_fixing", // Task-aware routing profile  messages: [    {      role: "user",      content: "Review this pull request for logic errors."    }  ],  extraHeaders: {    "X-HUBAPI-Fallback": "gemini-3.5-pro", // Planned fallback    "X-HUBAPI-Output-Contract": "json", // Enforce JSON schema  }}); console.log(response.choices[0].message.content);

Standard REST calls. Use any HTTP client or SDK.

Standard RESTUnified API keyModel switchingUsage trackingPrivate beta

Pre-launch API preview. Endpoint structure and model availability may change during beta.

ARCHITECTURE // VISUAL_FLOW

AI Reliability Gateway Architecture

How requests flow through the control plane to optimize and secure tool and model usage.

Application / Agent / Workflow
HUBAPI Reliability Control Plane
BYOK Auth
Task Route
MCP Tools
Traces
Contracts
Policies + Routing + MCP + Observability + Cost Analytics
OpenAI / Anthropic / Gemini / OpenRouter / Mistral / Self-hosted Models
WHY_HUBAPI // MULTI_MODEL_CONTROL

AI Reliability Control Plane Designed for Enterprise Operations

As teams scale AI applications, direct provider access and basic proxies fall short on operational reliability.

Production workloads require task-specific routing, server-side tool execution, and thorough request trace visibility.

HUBAPI acts as the central control plane to coordinate, secure, and monitor your multi-model systems.

Centralized tools. Task-aware routing. Complete traceability.

01
// SERVER_SIDE_MCP

Server-Side MCP as First-Class Infrastructure

Manage MCP servers as centralized infrastructure. Planned support includes tool permissions, availability checks, execution metadata, tool-call traces, and audit logging for repeatable tool execution.

02
// TASK_AWARE_ROUTING

Route by Task, Not Just by Price

Different tasks require different models. HUBAPI plans to support task-aware routing profiles tailored for bug fixing, code review, ticket triage, extraction, long-context analysis, or tool-using agents.

03
// OBSERVABILITY_TRACES

Trace Every Decision

Gain complete visibility with planned tracing for selected models, routing policies, fallback triggers, retry attempts, latency, token usage, tool calls, and option for raw provider responses.

04
// OUTPUT_CONTRACTS

Custom API Contracts Beyond JSON

Validate and enforce structured output formats across JSON, XML, YAML, CSV, or custom text templates, allowing seamless integration with production databases and legacy workflows.

Beta Control Vision

HUBAPI’s roadmap transitions the operational layer from simple proxy pass-throughs to a resilient control plane for prompt, tool, and fallback governance.

COMPARISON // RELIABILITY_PLANE

Direct provider APIs vs. Unified model proxy vs. HUBAPI Control Plane

Transitioning from simple API calls or basic model proxies to a robust reliability control plane.

Direct provider APIs are simple but lack tool coordination, fallback logic, and cost controls.

Unified model proxies simplify credentials and billing, but fail to address reliability, latency spikes, and tool execution.

As AI applications scale into production, they require active traffic governance, MCP servers, and detailed trace logs.

HUBAPI bridges the gap between raw model access and production-grade reliability.

A unified, OpenAI-compatible control layer to manage your model routing, tools, safety policies, and observability traces.

FeatureDirect Provider APIsUnified Model ProxyHUBAPI Control Plane
Task-Aware Model Routing
Manual switch logic
Static list / basic rules
Intelligent task-aware routing
Server-Side MCP Orchestration
Not supported
Client-side only
Managed server-side registries
Request Observability & Traces
Separated logs per provider
Basic request/response logging
Rich traces, fallbacks, & replays
Provider Governance & BYOK
Native provider controls only
Shared pooled keys, minimal caps
Scoped workspace keys & HSM BYOK
Repeatability & Versioning
Manual prompt logging
Not supported
Replay runs with exact states
Cost & Latency Analytics
Multiple invoice statements
Raw token cost estimations
Detailed token, cache, & fallbacks
Custom Output Contracts
Standard JSON / text only
Direct forward of response
Validations (JSON, XML, YAML)
DASHBOARD_PREVIEW // SIMULATED

Preview the unified model dashboard

The beta dashboard is designed to help teams monitor usage, spend, latency, errors, and routing behavior across multiple model providers.

This is a simulated product preview, not live operational data.

Neural Gateway Mesh is a simulated preview of the future HUBAPI developer console.

Preview only

  • API Keys

    3 preview keys

  • Model Catalog

    100+ planned models

  • Monthly Requests

    Simulated usage

  • Current Balance

    Preview credits

  • Top Model

    Provider A / Provider B / Provider C

  • Spend

    Estimated only

Planned Provider Regions

  • US
  • DE
  • GB
  • IN
  • BR
  • SG
  • JP
8 planned regions

Simulated Dashboard Preview

Product vision dashboard — projected interface preview, not live operational data.

API Keys

Create one key for each app, team, or environment.

Model Usage

Track which models are used most across your workspace.

Credits & Billing

Use one balance across all supported LLM providers.

Cost by Model

Compare spend across multiple providers.

Latency & Errors

Monitor response time, failed requests, retries, and fallback events.

Routing Preview

See how requests can route by cost, speed, quality, availability, or policy.

Key Security

  • Scoped keys
  • Rate limits
  • Budget caps
  • Environment separation
  • Revocation controls

Semantic Cache

Reduce repeated model calls by reusing safe, matching responses when policy allows.

Estimated cache savings

Preview only

DIFFERENTIATION // OPERATIONAL_LAYER

Not Just Another Model Proxy

OpenRouter and other unified API platforms solve model access. HUBAPI focuses on the operational layer around model usage: routing decisions, fallback behavior, tool execution, traceability, cost visibility, team controls, and repeatability.

workflowsPunchline

01 /

BYOK-First Provider Usage

Bring your own keys and manage scoped workspace credentials, budget caps, rate limits, and zero-retention policies.

02 /

Server-Side MCP Orchestration

Coordinate Model Context Protocol (MCP) tool calls, registry permissions, availability checks, and audit logs centrally.

03 /

Task-Aware Model Routing

Route inputs to the optimal model based on specific tasks like bug fixing, ticket triage, extraction, or long-context review.

04 /

Request Tracing & Replayability

Inspect every decision with detailed trace logs of selected models, latency, and tool execution, then replay exact runs.

05 /

Cost, Latency & Failure Analytics

Track workspace-wide token consumption, regional latency savings, caching efficiency, and automated fallback triggers.

06 /

Custom Output Contracts

Define and enforce structured output formats across JSON, XML, YAML, CSV, or custom text templates for legacy workflow integration.

GOVERNANCE // CREDENTIAL_ISOLATION

Bring Your Own Keys. Keep Control.

HUBAPI is a BYOK-first platform designed to run as managed control infrastructure, keeping your provider credentials isolated, monitored, and under your workspace rules.

Credential isolation, granular scopes, and absolute data control.

HUBAPI is designed to enforce security controls at the gateway level, ensuring keys are isolated and request payloads are compliant.

01 /

Provider Key Isolation

Planned integration where provider keys are stored in secure Hardware Security Modules (HSMs) and never exposed to clients.

02 /

Scoped Workspace Keys

Issue scoped keys for specific teams, apps, or pipelines with granular access to select models.

03 /

Workspace Rate Limits

Set strict rate limits on requests per minute or token volumes to prevent service abuse.

04 /

Granular Budget Caps

Enforce hard or soft spending limits per key, model, or project to avoid runaway LLM bills.

05 /

Detailed Audit Logs

Planned support for central auditing of tool execution, key usages, policy evaluations, and system overrides.

06 /

Instant Revocation

Instantly revoke any scoped key or disable provider access without touching your raw upstream credentials.

07 /

Zero-Retention Mode

Strict pass-through pipeline option that never saves prompt inputs, responses, or metadata on our servers.

08 /

Encryption & Policy Control

All payloads are encrypted in transit via TLS 1.3 and at rest with AES-256 protocols.

BUILD_PRINCIPLES // CONTROL_PLANE

Built for Enterprise AI Operations

HUBAPI is designed around the core systems every multi-model AI system needs: reliability governance, task routing, server-side MCP tools, tracing observability, and BYOK control.

01 /

Reliability Control Plane

Unify LLM providers, MCP tools, and routing policies behind an OpenAI-compatible endpoint.

02 /

Server-Side MCP Tools

Orchestrate Model Context Protocol (MCP) server registries, permissions, and tool audit logs.

03 /

Task-Aware Routing

Automatically route requests to the best-suited model specialized for bug fixing, triage, or analysis.

04 /

Detailed Request Tracing

Inspect selected models, latency traces, tool executions, and replay exact workflows.

05 /

BYOK Governance

Isolate and encrypt your own provider credentials with workspace budget caps and revocation.

06 /

Custom Output Contracts

Enforce structured formats across JSON, XML, YAML, or templates for integration with legacy systems.

FAQ // RELIABILITY_CONTROL_PLANE

Frequently Asked Questions

Everything developers and teams need to know about HUBAPI’s control plane, routing, server-side MCP, and privacy controls.

ECOSYSTEM // MODEL_CATALOG_PREVIEW

Access Leading LLMs from One Gateway

HUBAPI is designed to give developers one unified way to access, compare, and route across leading LLM providers and inference platforms.

Provider and model availability may vary during private beta.

01 / Model Providers

OpenAI
Anthropic
Gemini
Mistral
Meta
DeepSeek
Qwen
Grok
Moonshot

02 / Inference & Cloud Platforms

Alibaba Cloud
AWS Cloud
Azure AI
Google Cloud
Cloudflare
Hugging Face

03 / Developer Ecosystem

Standard REST API
SDK Support
Node.js
Python
Webhooks
Usage analytics
Model comparison
API key management
View Reliability FeaturesJoin Private Beta