# Ducky vs TinyFish

Ducky records 1,966 monthly visits with -8.4% month-over-month growth and Freemium pricing. TinyFish records 1,124,952 monthly visits with +199.7% growth and Freemium, Contact for Pricing pricing.

| Metric | [Ducky](https://openaitools.app/tool/ducky) | [TinyFish](https://openaitools.app/tool/tinyfish) |
| :--- | :--- | :--- |
| Website URL | https://ducky.ai | https://www.tinyfish.ai |
| Categories | AI Search Engine, AI Developer Tools, Large Language Models (LLMs), AI API | AI API, AI Agent, AI Browsers, AI Web Scraping |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 1,966 | 1,124,952 |
| MoM Growth Rate | -8.4% | +199.7% |
| Primary Market | United States | United States |
| Direct Visits | 774 | 401,320 |
| Review Score | 4.3 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Ducky

Ducky is a managed retrieval layer that handles the entire AI search pipeline for you, from ingestion and indexing through chunking, reranking and answer synthesis. Instead of stitching together an embedding model, a vector database, a chunker and a reranker, teams call one API surface and let Ducky manage the moving parts. The platform markets a zero-setup onboarding path: point it at your content, rely on smart defaults, and ship a working search feature the same week.

Beyond plain keyword matching, Ducky supports multi-modal content — text, images and PDFs — so the same index can answer questions across document types. It adds metadata filtering for precise narrowing (dates, categories, tags), multi-stage reranking to push the best results to the top, and agent-friendly answer generation with source attribution. Ducky also advertises context filtering that trims irrelevant passages before they reach an LLM, which the vendor says can cut token usage substantially and reduce hallucination by grounding agents in accurate context.

The product is built for developers first, with documented APIs and Python and TypeScript SDKs, a public GitHub presence and thorough docs. A clickable in-browser demo and a book-a-demo flow let teams evaluate quality before committing. Pricing is usage-based with a free trial tier and a paid launch tier, so small prototypes can start at no cost and scale into production retrieval workloads.

**Pricing & Plans:** Usage-based: a free trial tier covers the first 100k index tokens and 100k retrieval tokens at no cost. The paid Launch tier is listed at $290 per month with 3M index and 3M retrieval tokens included, plus metered overage at $0.014 per additional 1K index tokens and $0.079 per additional 1K retrieval tokens.

- **Multi-modal search:** Index and search across text, images and PDFs with one API, so content stays searchable regardless of format.
- **Automated chunking and reranking:** Ducky splits and optimizes documents for retrieval and applies multi-stage reranking so the strongest matches surface first.
- **Metadata filtering:** Narrow results precisely by attributes such as date, category or tag to build filtered, product-grade search experiences.
- **Agent answers with attribution:** Agents can ask questions and receive synthesized answers that cite their sources, with the whole search-to-synthesis pipeline automated.
- **Python and TypeScript SDKs:** Developer-first tooling with documented APIs and first-class SDKs for the two most common product stacks.

**Strengths:** Fully managed pipeline removes the need to run a vector database or stitching layer; Multi-modal indexing covers text, images and PDFs in one system; Free trial tier and transparent per-token overage make early evaluation low-risk; Well-documented APIs plus Python and TypeScript SDKs shorten integration time

**Limitations:** Opaque internals: the ranking and chunking logic is managed, limiting fine-grained tuning; Pricing is token-metered, so heavy indexing or query volumes require cost monitoring; No self-hosted or open-source deployment option for teams with strict data-residency rules

[Profile (Markdown)](https://openaitools.app/tool/ducky.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 Ducky and TinyFish compare in monthly traffic?

Ducky has 1,966 monthly visits, while TinyFish has 1,124,952. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Ducky has a month-over-month growth rate of -8.4%; TinyFish has +199.7%.

### How does pricing compare?

Ducky: Freemium. Usage-based: a free trial tier covers the first 100k index tokens and 100k retrieval tokens at no cost. The paid Launch tier is listed at $290 per month with 3M index and 3M retrieval tokens included, plus metered overage at $0.014 per additional 1K index tokens and $0.079 per additional 1K retrieval tokens. 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 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | Search and inference APIs that give AI models real-time web data | [.md](https://openaitools.app/tool/you.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 | [Algolia](https://openaitools.app/tool/algolia) | 689,970 | -11% | Freemium, Contact for Pricing | AI search and retrieval platform for modern apps and commerce | [.md](https://openaitools.app/tool/algolia.md) |
| 7 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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

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