usageguard

usageguard

UsageGuard is an enterprise-ready platform for building, deploying, and monitoring AI applications that centralizes development, observability, security/compliance, and cost management with a single unified API supporting multiple LLM providers.

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Quick Overview

Best for: Software & Gaming

What it does

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Software & Gaming

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usageguard

UsageGuard is a platform designed to unify AI development, observability, security, and cost management for enterprises. It provides a single unified endpoint and API to access multiple LLM providers and models, plus features for document processing, agents (beta), monitoring, governance, and spend control. The platform is positioned as model-agnostic and enterprise-ready, offering deployment options including private cloud and on-premise air-gapped deployments and regional availability on AWS in US, Europe, and the Middle East. UsageGuard highlights enterprise capabilities such as SOC2 Type II and GDPR compliance, 24/7 enterprise support with SLAs, and metrics like 99.9% uptime, reduced costs, and low latency.

Platform for building and monitoring AI applications with security, cost control, and tracking.

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Key Features

Single unified endpoint

One API that provides access to multiple AI models and providers so you can switch providers without changing application code.

Model agnostic integrations

Support for major providers and models including OpenAI (GPT), Anthropic (Claude), Meta Llama, Mistral, Google Gemini and more, all accessible through the same interface.

Real-time streaming

Supports fast, reliable real-time streaming responses for inference workloads.

Request monitoring & observability

Monitoring, logging, tracing and metrics to track performance, usage patterns, and gain real-time insights into AI operations.

Session management

Stateful conversation and session management for building conversational applications.

Document processing & Enterprise RAG

Capabilities for building applications that use documents and retrieval-augmented generation (RAG).

Agents (Beta)

Tools to build and deploy autonomous agents (noted as Beta).

Security & governance

Content filtering, PII protection, prompt sanitization, customizable security policies, and enterprise compliance controls.

Cost control & spend management

Usage tracking, budget controls, and automated tools to optimize AI spend.

Flexible deployment

Options to deploy on customer infrastructure (private cloud), on-premise with air-gapped deployment, and regional AWS deployments.

Pricing

Claim this listing to add current pricing tiers.

Use Cases

Enterprise AI development

Build intelligent applications using a single endpoint to access multiple LLMs, with support for documents and agents.

Observability & monitoring

Monitor AI system performance, track usage patterns, and get real-time analytics and debugging tools for AI operations.

Security and compliance

Apply security policies, content filtering, PII protection, and governance controls to ensure enterprise compliance (SOC2 Type II, GDPR).

Cost optimization

Track usage, set budgets, and control spending across models and providers to reduce AI costs.

Multi-provider inference

Switch between LLM providers and models without changing application code to balance cost, performance, and capabilities.

Private & on-premise deployments

Deploy in private cloud or air-gapped on-premise environments to maintain data residency and infrastructure control.

Integrations

OpenAI (GPT models)

Access OpenAI models through UsageGuard's unified API endpoint.

Anthropic (Claude models)

Use Anthropic Claude models via the same unified interface.

Meta Llama

Support for Meta Llama models as part of the multi-provider integrations.

Mistral

Mistral models listed among supported providers.

Google Gemini

Google Gemini included in the list of supported model families.

AWS (regional deployment)

Deploy UsageGuard on AWS infrastructure across US, Europe, and Middle East regions for performance and data residency.

Benefits

Unified API access to multiple LLM providers simplifies development and provider switching.
Enterprise-grade security and compliance (SOC2 Type II, GDPR) and data isolation with end-to-end encryption.
Comprehensive observability with monitoring, logging, tracing, and real-time analytics for AI workloads.
Cost control features including usage tracking, budgets, and automated spend optimization.
Flexible deployment models including private cloud, on-premise air-gapped deployments, and regional AWS availability.
Low added latency (page cites typical added latency of 50–100ms) and uptime/availability metrics showcased on the site.

Limitations

UsageGuard introduces a small amount of latency (the site cites a typical added latency of 50–100ms per request).
Some features are noted as Beta (for example, Agents are in Beta).
Documentation and quickstart guides are referenced for setup; direct contact information or explicit pricing details are not provided on the referenced page.

Frequently Asked Questions

How does UsageGuard work?
UsageGuard acts as an intermediary between your application and LLM providers, handling API calls, applying security policies, and managing data flow to ensure safe and efficient use of AI language models.
Which LLM providers does UsageGuard support?
UsageGuard supports major LLM providers including OpenAI (GPT models), Anthropic (Claude models), Meta Llama and more; the list of supported providers is continuously expanding.
Will I need to change my existing code to use UsageGuard?
Minimal changes are required. You mainly need to update your API endpoint to point to UsageGuard and include your UsageGuard API key and connection ID in unified inference requests; see the quickstart guide in the docs for details.
Can I use multiple LLM providers through UsageGuard?
Yes, UsageGuard provides a unified API that allows you to switch between different LLM providers and models without changing your application code.
Does using UsageGuard affect performance?
UsageGuard introduces minimal latency, typically ranging from 50-100ms per request, according to the site.
Can UsageGuard prevent prompt injection attacks?
Yes, UsageGuard includes prompt sanitization features to prevent malicious inputs from reaching the LLM provider, protecting against prompt injection attacks.
Can I customize security policies for different projects or teams within my organization?
Yes, UsageGuard allows creation of multiple connections, each with its own security policies, usage limits, and configurations to tailor policies across projects, teams, or environments.
How does UsageGuard ensure the privacy of our data?
The platform uses data isolation to prevent unauthorized access, end-to-end encryption for data in transit and at rest, minimal data retention practices with customizable policies, and states that it never shares your data with third parties.
How can I get support if I encounter issues?
You can check the troubleshooting guide, the status page for known issues, or contact the support team directly; enterprise customers have 24/7 support with guaranteed SLAs.

Getting Started

  1. 1 Request a demo or sign up to access UsageGuard and enterprise offerings.
  2. 2 Obtain your UsageGuard API key and connection ID (referenced in the quickstart guide in the docs).
  3. 3 Update your application to point its API endpoint to UsageGuard and include your API key and connection ID.
  4. 4 Configure connections, security policies, usage limits, and model/provider selections for projects or teams.
  5. 5 Deploy and monitor usage with the platform's observability and spend management tools.

Support

email

The site indicates you can email the support team if you can't find what you're looking for (no explicit email address shown on the page).

enterprise support (24/7)

24/7 enterprise support with guaranteed SLAs is offered for enterprise customers; request an enterprise demo to engage.

docs

Documentation and a quickstart guide are referenced on the site for setup and integration instructions.

status page

A status page and troubleshooting guide are mentioned for checking known issues and system status.

API

Available: Yes
Documentation:

Docs and quickstart guides are referenced on the site for API usage, including instructions to update your endpoint and include an API key and connection ID.

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