Unified AI model gateway for products and teams

One API key.Connect every leading AI model.

Connect multiple leading AI models through one stable endpoint. Keep your OpenAI-style integration, switch models without rewriting product logic, and manage usage, billing, and keys in one place.

Start FreeExplore Features
1OpenAI-compatible integration
20+models available through one gateway
24/7real-time usage and cost visibility
1project-level key management
POST /v1/chat/completions
model: "auto"
provider: "best-latency"
budget_cap: "$0.03"
fallback: ["openai", "anthropic"]
OpenAI-compatible • streaming ready • usage and cost tracked automatically
OpenAIAnthropicGoogleDeepSeekMistral
Core Features

Built to simplify AI access for real products.

Start with the customer value that matters most: one integration, multiple models, clearer billing, and less operational overhead.

01

Unified API interface

Call multiple leading models through one endpoint and keep the SDK pattern your developers already know.

02

Real-time monitoring

Track requests, latency, token usage, and spend in one operational view instead of checking provider consoles separately.

03

Usage-based billing

Give customers and internal teams a clearer billing story with centralized records and transparent usage visibility.

04

Multi-key management

Create dedicated keys for projects, environments, or teams, and manage access without losing control of spend.

Why ONELINKS

Why teams stop managing model vendors one by one.

Direct integrations work in prototype stage. ONELINKS becomes valuable once your product needs reliability, visibility, and operational consistency.

01

Less duplicated integration work

Avoid rebuilding auth, usage tracking, and error handling for every provider you add.

02

Lower operational friction

Reduce the need to monitor several dashboards, billing views, and model-specific edge cases separately.

03

More freedom to switch

Change model choices over time without forcing your product team to redesign the integration each time.

04

Cleaner internal governance

Give finance, operations, and engineering one shared view of usage, spend, and access permissions.

Best Fit

Best fit for teams already shipping AI to real users.

The right customer usually already knows they need AI. The next problem is how to deliver it with more stability, flexibility, and control.

A

AI features inside SaaS products

Add chat, search, summarization, copilot, or automation features without locking the product to one model vendor.

B

Customer-facing AI assistants

Keep response quality and continuity stable when real users depend on your assistant every day.

C

Internal AI platforms for teams

Offer shared model access across departments with clearer billing, permissions, and project-level control.

D

AI products preparing for scale

Move from early direct integrations to a more resilient layer before traffic, cost, and operational complexity spike.

Management View

Give engineering, operations, and finance one shared operating view.

Decision-makers do not want another disconnected tool. ONELINKS brings usage, spend, service health, and access records into one view the whole team can work from.

This week

Traffic is healthy and fallback rate is low.

All systems normal
Requests12.4M+18.2%
Spend$18,240-7.9%
Fallbacks0.8%-0.3%
Latency p951.2s-120ms

Request volume by provider

Last 7 days

What your team can see

  • Which project is consuming the most requests right now.
  • When traffic was automatically shifted to keep service stable.
  • Who created new keys and where they are being used.
Who It Helps

Different stakeholders care about different risks. The page should answer each one directly.

A real B2B buying process usually involves technical owners, business owners, and management. ONELINKS should make sense to all three without forcing them to read the whole product manual.

01

For CTOs and technical owners

Reduce migration risk, avoid repeated vendor integration work, and add routing, fallback, and governance without rebuilding the product later.

02

For product and business owners

Launch AI features faster, keep service continuity more stable, and avoid getting stuck with a single vendor decision too early.

03

For operations, finance, and management

Bring usage, access, and spend into one operating view so internal teams can manage growth with clearer control and fewer coordination gaps.

Rollout Path

A better B2B homepage should explain how the project starts and how it expands.

Most teams do not buy an API gateway in one step. They validate one scenario, move into production, then extend governance and visibility as adoption grows.

01 / 试点启动

Typical rollout sequence
1. 选定一个明确业务场景
2. 保留现有产品调用方式
3. 接入统一网关完成验证
4. 用真实流量评估稳定性与成本
5. 明确是否进入正式上线阶段

What decision-makers usually need to see before approval

  • A low-risk migration path from direct vendor keys
  • Clear ownership across product, engineering, and operations
  • Visibility into usage, budget, and routing policy before scale
  • A way to expand governance without rebuilding the integration later
Technical Layer

The technical layer stays simple, but it no longer needs to lead the sales story.

Once the business case is clear, the technical model is straightforward: one endpoint in front, routing and usage control behind it.

Your App

ONELINKS

  • Auth + API keys
  • Routing policy
  • Fallback + retries
  • Usage metering
OpenAIAnthropicGoogleDeepSeekMistralxAI

Example Routing Policy

{
  "mode": "auto",
  "targets": ["openai:gpt-4.1", "anthropic:claude-sonnet", "google:gemini-2.0"],
  "rules": {
    "priority": "latency",
    "max_cost_per_request": 0.03,
    "region": "global"
  },
  "fallback": true
}
Engagement

Commercial engagement should match the stage of the decision, not force one template.

The right commercial model usually depends on where your team is now: evaluation, first production launch, or larger organizational adoption.

Pilot

For teams validating a real use case and testing fit without committing to a full platform rollout.

  • A focused first scenario with fast setup
  • Clear success criteria for technical and business review
  • A low-friction path into the next phase if the fit is confirmed
Production

For teams already launching customer-facing or internal AI features and needing a stable shared operating layer.

  • Production-grade routing, monitoring, and access control
  • Shared visibility for engineering, operations, and finance
  • A cleaner path to manage growth without reworking the integration
Enterprise
Custom

For organizations that need deployment flexibility, stronger governance, and closer commercial alignment.

  • Private deployment or dedicated environment options
  • Custom approval, security, and governance workflows
  • Dedicated onboarding and ongoing support
FAQ

Questions decision-makers usually ask before they move forward.

Do we need to replace our current model vendors?

No. ONELINKS is an operating layer between your product and model vendors. It helps you keep flexibility across providers instead of forcing a replacement.

Can we start small and expand later?

Yes. Many teams start with one production use case or one internal platform stream, then expand governance, environments, and provider coverage later.

What does the buyer get beyond API aggregation?

The value is operational. ONELINKS gives one control layer for routing, billing visibility, key management, and service continuity across model providers.

Can deployment and governance match enterprise requirements?

Yes. The platform can be introduced with different deployment and governance models depending on internal security, procurement, and operational requirements.

Start The Conversation

Tell us where your team is now, and we will suggest the right rollout path.

Whether you are validating one use case or preparing a broader rollout, we can help you map the right deployment, governance, and commercial path.