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Requesty

Updated Jul 26, 2026
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Route to 600+ LLMs, get real-time analytics, reduce costs with smart routing & caching. Enterprise-grade security & observability.

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#ai gateway#llm#routing#enterprise security#observability
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Editor's Verdict

Rating: 4.2/5.0Reviewed by RAGWiki
At $0, Requesty stands out as a powerful solution in the developer tools landscape. It is especially well-suited for professionals like AI Engineer and Software Developer. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid markup on model costs. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

  • 600+ AI Models
  • Intelligent Routing
  • Real-time Observability
  • Enterprise Security

In-Depth Review: What is Requesty?

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Requesty is an AI gateway that connects your app to 600+ LLM providers with one line of code. It offers intelligent routing, automatic failover, cost optimization via caching and smart model selection, real-time observability, and enterprise security including PII scrubbing and content guardrails. Integrate in minutes and gain full control over your AI infrastructure.

Core Features

600+ AI Models

Access to over 600 models from 20+ providers, enabling flexibility and best-fit selection for any use case.

Intelligent Routing

Geo-based routing, automatic failover under 14ms, load balancing, and policy-based controls for optimal performance and compliance.

Real-time Observability

Cost analytics, performance monitoring, usage insights, and agent analytics across all providers in one dashboard.

Enterprise Security

PII detection and scrubbing, content guardrails, SSO, RBAC, audit logs, and EU data residency for governance and compliance.

Plug & Play Integration

One line of code to integrate with existing OpenAI SDK, no changes to your stack, and no vendor lock-in.

Pricing

Free

$0
  • Access to all free models
  • 200 requests per day
  • Routing, caching & fallbacks
  • Spend tracking & analytics
  • EU data residency
  • No credit card required
Most Popular

Pay as you go

5% markup
  • All 600+ models
  • Bring your own keys
  • Routing policies, caching & fallbacks
  • Spend limits & budget caps
  • MCP Gateway
  • EU data residency
  • Advanced observability
  • Email support

Enterprise

Custom
  • SSO (Okta, Azure AD, Google Workspace, custom OIDC)
  • Full RBAC + audit logs
  • Approved models & policies
  • Teams, groups & spend controls
  • Guardrails & PII detection
  • EU data residency
  • Service accounts for CI/CD
  • Dedicated support & custom SLAs

Pros and Cons

Pros

  • Extensive Model SelectionAccess to 600+ models from multiple providers, allowing flexibility and best-fit selection for any AI task.
  • Easy IntegrationDrop-in replacement for OpenAI SDK with one line of code change, works with all major SDKs.
  • Cost SavingsSmart routing to cheaper equivalent models, caching, and automatic fallback from expensive providers reduce costs.
  • Comprehensive ObservabilityReal-time analytics, cost tracking, performance monitoring, and usage insights across all providers.
  • Security and CompliancePII scrubbing, guardrails, SSO, RBAC, audit logs, and EU data residency ensure enterprise-grade security.

Cons

  • Markup on Model CostsPay-as-you-go plan incurs a 5% markup on base model costs, which can add up for high-volume usage.
  • Free Tier LimitationsFree plan is limited to 200 requests per day and only free models, which may not be sufficient for production.
  • Enterprise Pricing Not TransparentEnterprise pricing is custom and requires contacting sales, which may be a barrier for some teams.
  • No Offline CapabilitiesThe gateway relies on internet connectivity and cloud infrastructure, no offline fallback.
  • Potential Lock-in to PlatformDespite claims of no vendor lock-in, deep integration with routing and observability may create dependency.

Use Cases & Recommended Professions

AI Engineer→ View Toolkit

Needs to integrate and manage multiple AI models efficiently, with intelligent routing and cost control.

Software Developer→ View Toolkit

Builds AI-powered applications and requires easy API integration and observability for debugging.

Product Manager→ View Toolkit

Oversees AI product features and needs cost and performance analytics to make informed decisions.

Security Compliance Officer→ View Toolkit

Ensures data privacy and governance across AI usage, requiring PII detection, guardrails, and audit logs.

DevOps Engineer→ View Toolkit

Manages infrastructure and needs reliable failover, load balancing, and monitoring for AI services.

Data Scientist→ View Toolkit

Uses various models for experimentation and requires observability and cost tracking to optimize workflows.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Requesty were synthesized using AI and fact-checked by our curation team to ensure accuracy.

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