# IndexPlease vs Promptr

IndexPlease records 12,997 monthly visits with -28.3% month-over-month growth and Freemium pricing. Promptr records 0 monthly visits with 0% growth and Pay-as-you-go pricing.

| Metric | [IndexPlease](https://openaitools.app/tool/indexplease) | [Promptr](https://openaitools.app/tool/promptr) |
| :--- | :--- | :--- |
| Website URL | https://indexplease.com | https://promptr.dev |
| Categories | Other | Other |
| Pricing Model | Freemium | Pay-as-you-go |
| Monthly Visits | 12,997 | 0 |
| MoM Growth Rate | -28.3% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 5,275 | 0 |
| Review Score | 3.8 | 3.6 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## IndexPlease

Indexing is the unglamorous bottleneck of SEO: you can publish great content and still see nothing happen because search engines simply have not crawled or indexed it. IndexPlease targets that gap directly. After you sign up and create a workspace, you attach your sites through Google Search Console and Bing, and the service begins reviewing your URLs and submitting the ones that are not yet indexed — on a daily schedule, without you touching a submit button.

Its feature set covers both ends of the workflow. On the automatic side there is daily sitemap syncing, auto-indexing with per-plan page quotas, indexing history graphs so you can see how Google gradually recognizes each site, and email reports summarizing daily progress. On the manual side there is a one-click instant indexing tool that can push hundreds of URLs at once, useful right after you publish or substantially update a page. Quotas can be divided between sites and workspaces, so agencies running multiple client properties can allocate capacity where it matters most.

Pricing is transparent and tiered by indexing volume, ranging from a starter plan aimed at people beginning SEO work up to enterprise plans for agencies and large sites, with annual billing cutting the monthly cost substantially. The team publishes comparison pages against alternatives such as TagParrot and IndexGuru, plus integration guides for WordPress, Shopify, Webflow, Next.js, Ghost and others.

**Pricing & Plans:** Freemium. Manual instant indexing is available free, while automatic daily indexing is sold on tiered subscriptions (Starter, Growth, Professional, Enterprise) priced by pages indexed per day and number of auto-indexed sites, with roughly 50% savings on annual billing.

- **Auto indexing on a daily schedule:** Once enabled, IndexPlease scans your site for new and unindexed links every day and submits them to search engines, emailing you the progress.
- **Bulk instant indexing:** Re-submit updated pages or push hundreds of URLs in one click from the dashboard, without waiting for the next automated pass.
- **Sitemap syncing and management:** Sync your sitemaps to Google automatically, delete stale sitemaps, and prioritise which URLs should be indexed first.
- **Indexing status monitoring:** Track each site's indexing progress over time so you can see which pages Google has accepted and which are still waiting.
- **Multi-site quota control:** Run several sites or workspaces and divide your daily indexing quota between them, useful for agencies juggling multiple clients.

**Strengths:** Automates the tedious daily routine of checking and submitting URLs; Free-tier manual instant indexing makes it easy to evaluate before paying; Transparent per-page pricing with meaningful annual discounts; Works across Google, Bing, Yandex, Naver and Seznam rather than Google alone

**Limitations:** No tool can force indexing — results still depend on search engine quality signals; Daily page quotas mean very large sites need a higher tier; Requires Search Console and Bing setup, which adds initial configuration effort

[Profile (Markdown)](https://openaitools.app/tool/indexplease.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 IndexPlease and Promptr compare in monthly traffic?

IndexPlease has 12,997 monthly visits, while Promptr has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

IndexPlease has a month-over-month growth rate of -28.3%; Promptr has 0%.

### How does pricing compare?

IndexPlease: Freemium. Freemium. Manual instant indexing is available free, while automatic daily indexing is sold on tiered subscriptions (Starter, Growth, Professional, Enterprise) priced by pages indexed per day and number of auto-indexed sites, with roughly 50% savings on annual billing. 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 | [Duck.ai](https://openaitools.app/tool/duck-ai) | 26,431,539 | +10.7% | Free | Private AI chat from the makers of DuckDuckGo | [.md](https://openaitools.app/tool/duck-ai.md) |
| 2 | [Photofeeler](https://openaitools.app/tool/photofeeler) | 1,903,722 | +151.6% | Freemium | Unbiased photo feedback from real people, for dating, business and social profiles | [.md](https://openaitools.app/tool/photofeeler.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Dex — Personal CRM & LinkedIn Assistant](https://openaitools.app/tool/linkedin-gpt-assistant-by-dex) | 156,354 | +1.6% | Paid | The personal CRM that keeps your network warm — with your LinkedIn graph baked in | [.md](https://openaitools.app/tool/linkedin-gpt-assistant-by-dex.md) |
| 6 | [LoadMuscle](https://openaitools.app/tool/loadmuscle) | 147,158 | -25.4% | Freemium | AI workout planner that builds your whole training week around your gear and goals | [.md](https://openaitools.app/tool/loadmuscle.md) |
| 7 | [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) |
| 8 | [EchoTik.live](https://openaitools.app/tool/echotik-live) | 97,102 | +6.7% | Freemium | TikTok Shop analytics for products, creators, LIVE commerce and competitors | [.md](https://openaitools.app/tool/echotik-live.md) |
| 9 | [Wokey](https://openaitools.app/tool/wokey) | 55,092 | +202.2% | Paid | One verifiable API key for Claude, GPT, Kimi and Grok at a fraction of list price | [.md](https://openaitools.app/tool/wokey.md) |
| 10 | [NameBeta](https://openaitools.app/tool/namebeta) | 25,443 | -45.7% | Free | Compare domain prices across registrars and find your next name | [.md](https://openaitools.app/tool/namebeta.md) |

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

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