# Promptr vs Wokey

Promptr records 0 monthly visits with 0% month-over-month growth and Pay-as-you-go pricing. Wokey records 55,092 monthly visits with +202.2% growth and Paid pricing.

| Metric | [Promptr](https://openaitools.app/tool/promptr) | [Wokey](https://openaitools.app/tool/wokey) |
| :--- | :--- | :--- |
| Website URL | https://promptr.dev | https://wokey.ai |
| Categories | Other | AI API, AI Models, AI Developer Tools |
| Pricing Model | Pay-as-you-go | Paid |
| Monthly Visits | 0 | 55,092 |
| MoM Growth Rate | 0% | +202.2% |
| Primary Market | Global | China |
| Direct Visits | 0 | 44,495 |
| Review Score | 3.6 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## 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)

## Wokey

Wokey positions itself as a lower-cost alternative to relays like OpenRouter, selling access to major frontier and open models through a single endpoint. On the Models page it publishes input, output and cache-read rates in USD per 1M tokens next to each vendor's official list price, along with a savings figure - for example Claude Sonnet 5.5 at $0.30/$1.50 against an official $2.00/$10.00, or GPT-6 Astra at $0.55/$2.75 against $10.00/$50.00. Rates are stated to be fixed, with a few models following a peak and off-peak schedule, and the Models page is treated as authoritative when anything changes.

The differentiator Wokey leans on hardest is verifiability. Because relay sites are commonly accused of quietly substituting cheaper models, Wokey says every response it returns carries a cryptographic signature whose chain of trust reaches the AWS Nitro hardware root, and that the model name inside each response is signed by the official upstream API. An MIT / Apache-2.0 verifier is published so a buyer can check a response on their own machine, offline, without having to trust the operator. The company frames this as turning 'trust me, it's the official model' into something a customer can independently confirm.

Operationally, Wokey is API-oriented rather than a chat product. You register with an email, generate a key, top up with multi-chain USDT, and change one base_url; compatibility covers the OpenAI Chat Completions, Responses and Anthropic Messages shapes, so existing code and clients such as Claude Code, Codex, Claude Desktop, opencode, Grok CLI and Cherry Studio switch over as-is. Billing is per token with itemized usage, and Wokey also runs a provider-side program that buys idle quota from people who do not use up their ChatGPT or Claude subscriptions.

**Pricing & Plans:** Pay-as-you-go, token-based pricing in USD per 1M tokens, with a free API key created at sign-up and top-ups via multi-chain USDT. Published rates sit below official list prices on most models - for example Claude Sonnet 5.5 at $0.30 input / $1.50 output versus $2.00 / $10.00 official, and GPT-6 Astra at $0.55 / $2.75 versus $10.00 / $50.00 official. The Models page is the authoritative source for current rates.

- **One key across major models:** Use one key for Claude, GPT, Gemini, Kimi, Grok, DeepSeek, GLM, MiniMax, Qwen and Doubao, routed through endpoints that mirror the OpenAI Chat Completions, Responses and Anthropic Messages APIs.
- **Drop-in OpenAI / Anthropic compatibility:** Because Wokey speaks OpenAI- and Anthropic-compatible protocols, dropping in a Wokey key and changing base_url is enough for Claude Code, Codex, Claude Desktop, opencode, Cherry Studio and a dozen other clients.
- **Published per-token pricing:** Input, output and cache-read rates per 1M tokens are published per model alongside official vendor prices, with savings percentages shown, and the Models page is treated as the authoritative source when rates change.
- **TEE attestation and offline verification:** Responses carry a cryptographic proof that chains to the AWS Nitro root, the model name is signed by the official API, and an open-source verifier lets you confirm authenticity locally and offline rather than trusting the relay.
- **Pay-as-you-go and quota sharing:** Per-token billing with itemized usage, multi-chain USDT top-ups that land quickly, and a provider program that lets people monetize idle quota from subscriptions such as ChatGPT and Claude.

**Strengths:** Substantially lower per-token rates than official list prices on most listed models; One key and one base_url change covers many vendors and many existing clients; Published, itemized per-token pricing instead of opaque subscription tiers; Genuinely unusual transparency feature: TEE attestation plus an open-source offline verifier

**Limitations:** Requires USDT / crypto top-ups, which adds friction for teams used to credit cards and invoices; Aggregated relay access can be less predictable than a direct contract with the model vendor for high-volume, mission-critical traffic; Pricing and model line-up across providers change frequently, so you need to watch the Models page rather than rely on a fixed quote; The verification tooling is strongest for technical users; non-developers will not benefit much from the attestation features

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

## Frequently Asked Questions

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

Promptr has 0 monthly visits, while Wokey has 55,092. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Promptr has a month-over-month growth rate of 0%; Wokey has +202.2%.

### How does pricing compare?

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. Wokey: Paid. Pay-as-you-go, token-based pricing in USD per 1M tokens, with a free API key created at sign-up and top-ups via multi-chain USDT. Published rates sit below official list prices on most models - for example Claude Sonnet 5.5 at $0.30 input / $1.50 output versus $2.00 / $10.00 official, and GPT-6 Astra at $0.55 / $2.75 versus $10.00 / $50.00 official. The Models page is the authoritative source for current rates.

## 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 | [Mammouth](https://openaitools.app/tool/mammouth) | 2,449,134 | +10.4% | Paid | Access many leading AI models through one subscription | [.md](https://openaitools.app/tool/mammouth.md) |
| 3 | [Chatbot App](https://openaitools.app/tool/chatbot-app) | 2,170,883 | -9.7% | Freemium | Chat with 30+ leading AI models in one clean, fast workspace | [.md](https://openaitools.app/tool/chatbot-app.md) |
| 4 | [GPTunneL](https://openaitools.app/tool/gptunnel) | 1,272,003 | +11.4% | Freemium, Pay-as-you-go | One subscription hub for 200+ AI models without a VPN | [.md](https://openaitools.app/tool/gptunnel.md) |
| 5 | [Lorka AI](https://openaitools.app/tool/lorka-ai) | 987,622 | -19.2% | Paid | All the top AI models behind one subscription | [.md](https://openaitools.app/tool/lorka-ai.md) |
| 6 | [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) |
| 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 | [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) |
| 9 | [ChatPlayground AI](https://openaitools.app/tool/chatplayground-ai) | 143,664 | +1.5% | Free Trial, Paid | Compare ChatGPT, Claude, Gemini and 30+ AI models side by side in one subscription | [.md](https://openaitools.app/tool/chatplayground-ai.md) |
| 10 | [Honcho](https://openaitools.app/tool/honcho) | 137,752 | +2.2% | Paid, Contact for Pricing | Open-source AI memory that reasons, not just stores | [.md](https://openaitools.app/tool/honcho.md) |

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

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