# Edgee vs Promptr

Edgee records 6,558 monthly visits with +96.9% month-over-month growth and Freemium, Contact for Pricing pricing. Promptr records 0 monthly visits with 0% growth and Pay-as-you-go pricing.

| Metric | [Edgee](https://openaitools.app/tool/edgee) | [Promptr](https://openaitools.app/tool/promptr) |
| :--- | :--- | :--- |
| Website URL | https://www.edgee.ai | https://promptr.dev |
| Categories | AI API, Large Language Models (LLMs), AI Developer Tools | Other |
| Pricing Model | Freemium, Contact for Pricing | Pay-as-you-go |
| Monthly Visits | 6,558 | 0 |
| MoM Growth Rate | +96.9% | 0% |
| Primary Market | Germany | Global |
| Direct Visits | 2,656 | 0 |
| Review Score | 4.2 | 3.6 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## Edgee

Edgee positions itself as an "Agent Gateway" rather than yet another chat wrapper. It installs as a CLI or desktop app and transparently proxies requests from tools such as Claude Code, Codex, Cursor, Copilot and OpenCode to whichever model your policy selects. Because it works as a transparent gateway, teams can adopt it in minutes without rewriting prompts or application code.

The platform is built on three pillars: Route, Compress and Observe. Routing lets you set token budgets per developer, per squad or per organization, and automatically falls back to open-weight models (GLM, Kimi, MiniMax) when a budget fills or a provider fails, so sessions are never interrupted. Compression trims verbose tool-result payloads and encourages brevity, so the same useful output bills fewer tokens.

Observability closes the loop by attributing cost and usage to a person, repository, PR or model, which is exactly the visibility engineering leaders need before the invoice arrives. Edgee can run in the cloud, with your own provider keys, or fully on-premise via Docker Compose or Helm, including air-gapped environments where prompts and completions never leave your network.

**Pricing & Plans:** Edgee offers a free starting tier alongside paid plans, with an enterprise/on-premise option priced on request. Exact tier amounts are not published in detail on the homepage; check the pricing page for current figures.

- **Budget-driven smart routing:** Assign token budgets per developer, squad or org, and let Edgee reroute requests to open-weight models mid-task when budgets fill or providers fail.
- **Semantically lossless token compression:** Trims tool-result payloads at the gateway and shortens output verbosity so coding tasks bill fewer tokens for the same result.
- **Team observability:** Attribute cost and usage by developer, repository, PR and model so engineering leaders can see where spend comes from.
- **Works with any coding agent:** A transparent gateway for Claude Code, Codex, Copilot, Cursor, OpenCode and your own apps, installed via CLI in about five minutes.
- **On-premise and bring-your-own-keys:** Run the gateway inside your own infrastructure with Docker Compose or Helm, or plug in your own provider keys for billing control.

**Strengths:** Cuts token costs through routing and compression rather than prompt hacks; No code changes required for coding agents or app backends; Per-developer and per-repo spend attribution built in; On-premise and air-gapped deployment options for sensitive teams

**Limitations:** Savings depend heavily on workload shape and may fall short of the headline figure; Adds a gateway hop that must be trusted and maintained; The richest observability features are aimed at teams, not solo users

[Profile (Markdown)](https://openaitools.app/tool/edgee.md)

## Promptr

Promptr targets a very specific cost problem: long prompts sent to large language models are billed by the token, and repeating the same lengthy instructions hundreds of times adds up quickly. Its API takes the text of a prompt and returns a denser, compressed form that keeps the meaning while dropping redundant wording. The site's own example compresses a 136-token instruction about an AI agent designing a toy company website down to roughly 75 tokens, which it reports as a 45% reduction.

Integration is deliberately minimal. You POST your prompt as a JSON string to the compress endpoint with an API token in the header, and you receive the compressed text back as plain text. Documentation provides ready-made snippets for curl, Python, JavaScript and C#, so the service can be inserted as one extra step before your existing model call. You can also control behaviour inline with tags: wrap text in a promptr compress="false" block to leave it untouched and unbilled, or set an explicit ratio such as 0.5 or 0.8 to decide how aggressively a section is shortened.

The pricing page frames the value in terms of savings. At $1 per 1M input tokens processed by Promptr, it illustrates a one-off gpt-4-turbo prompt costing $10 without compression versus $7 with it, roughly 30% saved, and larger savings when a prompt is reused many times. Access currently runs through a waitlist. Because compression is lossy by nature and output quality is task-dependent, the sensible approach is to benchmark Promptr on your own prompts before rolling it out broadly.

**Pricing & Plans:** Pay-as-you-go at $1 per 1M input tokens processed, with no hidden costs according to the site. Sections marked as uncompressed are not billed. Access is currently gated behind a waitlist.

- **One-call prompt compression:** Send your prompt to a single REST endpoint and receive a shorter version back as plain text, ready to pass to your model.
- **Up to ~40% cost savings:** The vendor reports up to 40% lower LLM input cost, with a worked example showing a 45% reduction on a sample prompt.
- **Multi-language snippets:** Copy-paste examples are provided for curl, Python, JavaScript and C#, so integration takes minutes rather than days.
- **Inline ratio control:** Wrap sections in tags to exclude them from compression or to set a specific compression ratio for that block.
- **Uncompressed sections are free:** Text marked to be left alone is not billed, letting you protect critical instructions from being altered.

**Strengths:** Simple single-endpoint API that is easy to slot into existing code; Clear, explicit pay-as-you-go price of $1 per 1M input tokens; Code snippets for four common languages reduce integration effort; Inline tags let you protect sensitive or critical text from compression

**Limitations:** Access requires joining a waitlist rather than signing up directly; Compression is inherently lossy, so it can change model output quality; Real savings depend on your prompt length and reuse, so benefits must be tested case by case

[Profile (Markdown)](https://openaitools.app/tool/promptr.md)

## Frequently Asked Questions

### How do Edgee and Promptr compare in monthly traffic?

Edgee has 6,558 monthly visits, while Promptr has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Edgee has a month-over-month growth rate of +96.9%; Promptr has 0%.

### How does pricing compare?

Edgee: Freemium, Contact for Pricing. Edgee offers a free starting tier alongside paid plans, with an enterprise/on-premise option priced on request. Exact tier amounts are not published in detail on the homepage; check the pricing page for current figures. Promptr: Pay-as-you-go. Pay-as-you-go at $1 per 1M input tokens processed, with no hidden costs according to the site. Sections marked as uncompressed are not billed. Access is currently gated behind a waitlist.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | One API key for hundreds of AI models from every major provider | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 3 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control | [.md](https://openaitools.app/tool/orcarouter.md) |
| 4 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 5 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |
| 6 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | One unified API for 100+ AI models, with insurance when output disappoints | [.md](https://openaitools.app/tool/zenmux.md) |
| 7 | [APIMaster](https://openaitools.app/tool/apimaster) | 210,182 | +46.3% | Paid | One OpenAI-compatible key for discounted GPT, Claude and Gemini access | [.md](https://openaitools.app/tool/apimaster.md) |
| 8 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | AI gateway, observability and guardrails for production LLM apps | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 9 | [Eden AI](https://openaitools.app/tool/eden-ai) | 173,828 | +6.5% | Paid, Contact for Pricing | One API gateway and LLM router for around 1,000 AI models | [.md](https://openaitools.app/tool/eden-ai.md) |
| 10 | [Caveman](https://openaitools.app/tool/caveman) | 171,826 | -15.5% | Freemium, Contact for Pricing | Cut AI agent token costs with recoverable context compression and smart model routing | [.md](https://openaitools.app/tool/caveman.md) |

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Source: https://openaitools.app/compare/edgee-vs-promptr

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