AI Agents
Route agent tasks across reasoning, coding, search, and low-cost models from one API layer.
One API layer for teams building with multiple LLM providers.
Access leading LLM providers through one planned gateway, one key, one balance, and one dashboard.
Join the private beta to test smart routing, scoped keys, model comparison, and usage visibility.
Plan for cost savings with provider comparison, intelligent routing, caching, and fallback strategies.
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Pre-launch preview. Product screens, dashboard metrics, and API examples are simulated to demonstrate the planned experience.

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.
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: "anthropic/claude-sonnet", messages: [ { role: "user", content: "Explain this document simply." } ]}); console.log(response.choices[0].message.content);Standard REST calls. Use any HTTP client or SDK.
Pre-launch API preview. Endpoint structure and model availability may change during beta.
Modern AI teams rarely use one provider.
They test multiple providers from various vendors. But every provider adds another key, invoice, rate limit, dashboard, pricing model, error format, and fallback path.
HUBAPI gives developers one API layer above them all.
Single gateway. Multiple providers. Unified billing.
Access leading LLM providers through one planned gateway instead of managing separate provider workflows.
Create beta workspace keys for apps, teams, or environments with planned usage boundaries.
Test routing policies based on cost, latency, quality, availability, and fallback behavior.
Preview one dashboard for requests, tokens, model spend, latency, errors, and usage trends.
Market thesis
As teams adopt more LLM providers, value shifts from individual model access to the control layer that unifies routing, billing, observability, and cost management.
The more models you use, the more provider complexity you inherit.
Direct provider APIs are simple when you use one model.
But modern AI products use many providers, each with different pricing, rate limits, and formats.
Every provider adds another API key, billing account, pricing table, rate limit, dashboard, and failure mode.
HUBAPI removes the operational mess between your app and the model ecosystem.
HUBAPI gives you one API layer, one balance, one dashboard, and one unified layer above every model.
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.
Simulated Dashboard Preview
Product vision dashboard — projected interface preview, not live operational data.
Create one key for each app, team, or environment.
Track which models are used most across your workspace.
Use one balance across all supported LLM providers.
Compare spend across multiple providers.
Monitor response time, failed requests, retries, and fallback events.
See how requests can route by cost, speed, quality, availability, or policy.
Reduce repeated model calls by reusing safe, matching responses when policy allows.
Estimated cache savings
Preview only
Use HUBAPI to connect apps, agents, copilots, and automation workflows to multiple LLMs through one unified API layer.
Build once. Switch providers anytime. Manage usage from one place.
Route agent tasks across reasoning, coding, search, and low-cost models from one API layer.
Use premium models for complex tasks and cheaper models for simple replies.
Compare model quality, cost, and speed for writing, summarization, translation, and editing.
Ship AI features without managing separate provider keys, SDKs, and billing accounts.
Create scoped keys, set limits, track usage, and separate dev, staging, and production traffic.
Track spend by model and switch traffic when prices, latency, or provider availability change.
Manage access, limits, spend, and data handling across every supported LLM from one workspace.
One API layer should not mean one security risk.
HUBAPI is designed to help teams manage access, limits, spend, and data handling across every supported LLM from one workspace.
Create separate keys for apps, teams, customers, or environments.
Set monthly spend limits per key, workspace, or model.
Control which models each key can access.
Limit requests per minute, token usage, or burst traffic.
Disable compromised or unused keys without touching provider accounts.
Configure sensitive workloads to avoid storing prompts and outputs.
Preview redaction and request policies for sensitive data.
Compliance roadmap includes SOC 2, GDPR, and HIPAA alignment. Certification timeline to be announced.
HUBAPI is designed around the core systems every multi-model AI product needs: unified API access, provider routing, scoped keys, usage visibility, billing controls, and secure request handling.
One standard REST interface for accessing multiple model providers.
Normalize model access, request formats, and provider differences behind one endpoint.
Create scoped API keys with revocation, rate limits, team controls, and environment separation.
Track requests, tokens, spend, credits, and model usage from one dashboard.
Route manually or by cost, latency, quality, fallback, and policy.
Support zero-retention modes, PII policies, request isolation, and compliance-ready controls.
Everything developers and teams need to know about HUBAPI’s unified gateway, model access, billing, routing, and private beta.
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.