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JevProxy Review

JevProxy is a machine-native reverse proxy designed for AI coding agents, executing intermediate agent tool calls in sub-25ms at a lower cost.

shipped Sep 24, 2026agentspaid
agents
JevProxy — product screenshot

Why it matters

1Executes tool calls in sub-25ms, reducing latency for programming tasks.
2Offers a Free Starter tier at $0, including 5 million free input tokens.
3Provides 100% free output tokens across all pricing tiers.
4Features calibrated confidence estimates for tool decision making.

About JevProxy

Business Model
Usage-Based (Pay Per Use)
Usage Pricing
$0.0001 per input tokens
Free Credits
5M Free
Platforms
Web, CLI
Target Audience
Developers and AI programming teams

Pricing Plans

Free Starter
$0 / forever
  • • 5,000,000 Free Input Tokens
  • • Outputs 100% Free ($0.00)
  • • Sub-25ms execution SLA
  • • Full CLI access (npx jevproxy)
Pro Fleet
$49 / month
  • • 250,000,000 Input Tokens Included
  • • Outputs 100% Free ($0.00)
  • • Saves $576+/mo vs raw LLMs
  • • Cursor & Claude Code drop-in
Scale Enterprise
$199 / month
  • • 1,000,000,000 (1B) Input Tokens
  • • Outputs 100% Free
  • • Dedicated regional edge gateway
  • • Custom tool decision models

Cost Examples

  • • 250 Million input tokens for $49
API Docs

overview

What is JevProxy?

JevProxy is a machine-native reverse proxy tool that enables AI coding agents to execute intermediate agent tool calls. It is designed to intercept and process these calls in sub-25ms, offering a lower-cost alternative to traditional LLMs for tool decision making and programming tasks.

features

Key Features of JevProxy

JevProxy provides several features aimed at optimizing AI coding agent performance and cost efficiency. These include rapid decision-making capabilities, generous token allowances, and robust integration options.

  • Sub-25ms decision making for rapid tool call execution.
  • 5 million free input tokens included in the Free Starter tier.
  • 100% free output tokens across all pricing plans.
  • Calibrated confidence estimates to enhance tool decision accuracy.
  • Integration with various coding agents, including Cursor and Claude Code.
  • Machine-native reverse proxy architecture for efficient operation.
  • API documentation available at https://jevproxy.com/docs.

use cases

Who Should Use JevProxy?

JevProxy is primarily designed for developers and AI programming teams seeking to optimize the performance and cost of their AI coding agents. Its capabilities are particularly beneficial for scenarios requiring low-latency tool execution.

  • AI coding agents requiring sub-25ms tool decision making.
  • Development teams focused on reducing latency in programming tasks.
  • Organizations aiming to lower the operational cost of LLM-based tool calls.
  • Developers integrating AI into their workflows with platforms like Cursor and Claude Code.

how to use

How to Use JevProxy

To begin using JevProxy, users can access its API for integration with existing AI coding agents. The platform provides documentation to facilitate setup and configuration.

  • 1Register for a JevProxy account, starting with the Free Starter tier.
  • 2Access the API documentation at https://jevproxy.com/docs.
  • 3Integrate JevProxy's API into your AI coding agent's workflow.
  • 4Configure your agent to route intermediate tool calls through JevProxy.
  • 5Monitor performance and cost savings through the JevProxy platform.

pricing

JevProxy Pricing & Plans

JevProxy offers a tiered pricing structure, including a free option and two paid plans, designed to accommodate varying usage levels from individual developers to enterprise-scale operations. All plans include 100% free output tokens.

  • Free Starter: $0 per month, includes 5 million free input tokens.
  • Pro Fleet: $49 per month, with usage pricing at $0.0001 per input token.
  • Scale Enterprise: $199 per month, with usage pricing at $0.0001 per input token.

Pros

  • +Executes agent tool calls in sub-25ms, significantly reducing latency.
  • +Offers a Free Starter tier with 5 million free input tokens.
  • +Provides 100% free output tokens across all pricing plans.
  • +Lower operational cost compared to traditional LLMs for tool execution.
  • +Includes calibrated confidence estimates for improved tool decision making.
  • +API available for integration with existing AI coding agent workflows.

Cons

  • −Primarily focused on AI coding agents, which may limit broader applicability.
  • −Usage pricing for input tokens applies after the free tier, potentially increasing costs for high-volume users.
  • −Specific integrations are listed, but broader ecosystem compatibility is not detailed.

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