# Koah vs TinyFish

Koah records 14,865 monthly visits with -13.7% month-over-month growth and Contact for Pricing pricing. TinyFish records 1,124,952 monthly visits with +199.7% growth and Freemium, Contact for Pricing pricing.

| Metric | [Koah](https://openaitools.app/tool/koah) | [TinyFish](https://openaitools.app/tool/tinyfish) |
| :--- | :--- | :--- |
| Website URL | https://koahlabs.com | https://www.tinyfish.ai |
| Categories | AI Advertising, AI Digital Marketing, AI Lead Generation | AI API, AI Agent, AI Browsers, AI Web Scraping |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 14,865 | 1,124,952 |
| MoM Growth Rate | -13.7% | +199.7% |
| Primary Market | United States | United States |
| Direct Visits | 5,948 | 401,320 |
| Review Score | 3.8 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Koah

Koah is an advertising network built specifically for AI surfaces — chat assistants, coding agents, messaging agents and the growing set of apps where users ask questions and make decisions. Its premise is that discovery has shifted: hundreds of millions of people now research and decide inside an AI conversation, while the dominant ad platforms were designed for a web of pages and links. Koah positions itself as the monetization layer for that shift, rather than an ad system ported from the previous era.

For AI platforms, Koah works as a revenue layer that complements subscriptions. Inference costs keep rising and subscription revenue alone often does not cover them, so the SDK turns existing conversation traffic into ad inventory. Koah emphasizes native formats that fit within the interaction and first-party intent data derived from the generative inputs themselves, in contrast to third-party tracking. Vendors on the platform have publicly credited the formats with higher click-through rates and better coverage without damaging user trust.

For advertisers, Koah offers placements inside AI assistants and agents at the moment a user expresses intent. Targeting uses real-time matching against the user, the current context and the assistant's memory, which allows a brand to appear when a request is actually relevant — for example when someone asks for a last-minute gift and a thoughtful suggestion is useful. Koah reports more than 100 million queries matched per year, roughly three times higher payouts than legacy networks and an average click-through rate of about 3% at scale. The company also runs a developer program with a Claude Code mod, Sidequest.

**Pricing & Plans:** Koah does not publish standard rates. AI platforms are onboarded through an SDK install and advertiser campaigns go through a demo-based sales process, so commercial terms and revenue shares are negotiated directly.

- **First-party intent targeting:** Ads are matched from generative inputs and in-product signals rather than third-party proxies, so relevance is based on what the user is actually asking.
- **Real-time intent matching:** User, context and memory signals are evaluated at inference time, so placements respond to the ongoing conversation instead of a pre-computed audience segment.
- **Native, in-conversation formats:** Formats are designed to integrate into the interaction — assistant answers, agent workflows and messaging-style surfaces — instead of being layered on top as banners.
- **Monetization SDK for AI apps:** AI app developers add an SDK to turn inference traffic into revenue, with documentation, changelog and status pages maintained for integrators.
- **Advertiser demand-side placements:** Advertisers get premium placements inside leading AI platforms and can discuss custom campaigns through a demo-led sales process.

**Strengths:** Purpose-built for conversational AI rather than adapted from display advertising; First-party intent signals based on the actual conversation, not third-party tracking; Native formats designed to preserve rather than degrade the user experience; Published metrics include 100M+ queries matched per year and roughly 3% CTR at scale

**Limitations:** No public pricing, so evaluation requires contacting sales; Effectiveness depends on AI platforms adopting the SDK and on advertiser demand in that channel; AI-native ad formats are still an emerging category with limited independent benchmarking

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

## TinyFish

TinyFish describes itself as the web stack for AI agents: a serverless platform that lets agents search, extract, browse and act on the live web. Rather than a single point tool, it groups several products under one API key and one wallet — TinySearch for fresh, browser-rendered web search returned as structured JSON, TinyFetch for turning any URL into clean Markdown, JSON or HTML, TinyBrowser for real cloud browser sessions driven with Playwright, Puppeteer or CDP, TinyAgent for plain-English multi-step automation, and TinyMonitor for alerts when a page or topic changes.

The platform is aimed at production workloads rather than demos. It emphasises reliability and structure, real browser rendering instead of thin cached results, persistent session state, and the ability to handle authenticated flows. Supporting pieces include TinyVault for connecting 1Password or Bitwarden so credentials stay hidden from the model, TinyProfiles for saving signed-in sessions, and step-by-step run recordings so you can audit exactly what an agent did on a site.

TinyFish is designed to slot into existing developer stacks. It is promoted for use alongside Claude, ChatGPT, Cursor and other agent runtimes, offers an MCP connection, Python SDK and CLI, and is positioned for workloads such as price monitoring, record enrichment, deep research and supplier-portal automation. Entry-level search and fetch calls are free, while agent steps, browser minutes and monitoring checks are metered on a pay-as-you-go wallet basis, with an enterprise track for larger deployments.

**Pricing & Plans:** Freemium and usage-based. Search and basic fetch are free with no search fee, while TinyAgent is billed per step, TinyBrowser per minute and TinyMonitor per check from a prepaid wallet; new users can claim a small free credit. Enterprise plans are custom — confirm current rates on the pricing page.

- **TinySearch:** Real browser-rendered search that returns structured JSON with fresh, uncached results from the live web, with no search fee.
- **TinyFetch:** Convert any URL into token-efficient Markdown, JSON or HTML, stripping navigation bars, cookie banners and ads before they reach your model.
- **TinyBrowser:** Full cloud browser sessions with persistent state that you drive with Playwright, Puppeteer or the Chrome DevTools Protocol.
- **TinyAgent and TinyMonitor:** Give an agent a goal in plain English and it navigates, fills forms and returns structured results; monitoring fires alerts when a tracked page or topic changes.
- **One API key, one wallet:** Search, fetch, browser and agent products share single authentication and billing, plus an MCP connection, Python SDK and CLI.

**Strengths:** Consolidates search, fetch, browsing, agent automation and monitoring behind one API key and wallet; Browser-rendered, uncached results rather than thin cached snippets; Free search and fetch tiers lower the cost per task compared to several paid search APIs; Strong developer ergonomics: MCP, Python SDK, CLI and integrations with popular agent runtimes

**Limitations:** Agent steps, browser minutes and monitoring checks are metered, so heavy automation volumes add up; More complex auth flows still carry the usual fragility of driving third-party sites; It is infrastructure for builders — not aimed at non-technical end users

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

## Frequently Asked Questions

### How do Koah and TinyFish compare in monthly traffic?

Koah has 14,865 monthly visits, while TinyFish has 1,124,952. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Koah has a month-over-month growth rate of -13.7%; TinyFish has +199.7%.

### How does pricing compare?

Koah: Contact for Pricing. Koah does not publish standard rates. AI platforms are onboarded through an SDK install and advertiser campaigns go through a demo-based sales process, so commercial terms and revenue shares are negotiated directly. TinyFish: Freemium, Contact for Pricing. Freemium and usage-based. Search and basic fetch are free with no search fee, while TinyAgent is billed per step, TinyBrowser per minute and TinyMonitor per check from a prepaid wallet; new users can claim a small free credit. Enterprise plans are custom — confirm current rates on the pricing page.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Features a massive marketplace of ready-to-run scrapers, though it operates more as an actor platform than a raw API. | [.md](https://openaitools.app/tool/apify.md) |
| 2 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Provides cleaner LLM-ready markdown conversion and crawling, but lacks TinyFish's interactive cloud browser automation capabilities. | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 3 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Offers superior neural web search designed for AI agents, but provides less comprehensive raw browser automation tools. | [.md](https://openaitools.app/tool/exa-ai.md) |
| 4 | [AiSensy](https://openaitools.app/tool/aisensy) | 811,787 | -3.8% | Freemium | AI-first WhatsApp marketing and engagement platform built on official WhatsApp Business APIs | [.md](https://openaitools.app/tool/aisensy.md) |
| 5 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Delivers enterprise-grade proxy networks and scraping infrastructure, but involves a steeper learning curve than TinyFish. | [.md](https://openaitools.app/tool/bright-data.md) |
| 6 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Excels at converting URLs into clean markdown and embeddings, but lacks dedicated browser actuation and live search endpoints. | [.md](https://openaitools.app/tool/jina-ai.md) |
| 7 | [Browserless](https://openaitools.app/tool/browserless) | 185,543 | -21.2% | Freemium, Paid, Contact for Pricing | Gives you robust headless browser automation and control, but requires more custom development than managed agent APIs. | [.md](https://openaitools.app/tool/browserless.md) |
| 8 | [Yep.com](https://openaitools.app/tool/yep-com) | 155,834 | +6.2% | Free | Provides independent web search and agent grounding, but lacks content fetching and browser automation features. | [.md](https://openaitools.app/tool/yep-com.md) |
| 9 | [AdKit](https://openaitools.app/tool/adkit) | 134,756 | -13.2% | Free Trial, Paid | Run ad research, creation, and optimization from your AI agent | [.md](https://openaitools.app/tool/adkit.md) |
| 10 | [ScrapeGraphAI](https://openaitools.app/tool/scrapegraphai) | 91,362 | -25.7% | Freemium, Paid, Contact for Pricing | Uses natural language prompts for open-source web scraping, but offers fewer managed enterprise cloud browser features. | [.md](https://openaitools.app/tool/scrapegraphai.md) |

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Source: https://openaitools.app/compare/koah-vs-tinyfish

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)