# Ragie vs TinyFish

Ragie records 7,557 monthly visits with -26.8% month-over-month growth and Freemium, Free Trial, Free pricing. TinyFish records 1,124,952 monthly visits with +199.7% growth and Freemium, Contact for Pricing pricing.

| Metric | [Ragie](https://openaitools.app/tool/ragie) | [TinyFish](https://openaitools.app/tool/tinyfish) |
| :--- | :--- | :--- |
| Website URL | https://www.ragie.ai | https://www.tinyfish.ai |
| Categories | AI Developer Tools, AI API, AI Search Engine, Large Language Models (LLMs) | AI API, AI Agent, AI Browsers, AI Web Scraping |
| Pricing Model | Freemium, Free Trial, Free | Freemium, Contact for Pricing |
| Monthly Visits | 7,557 | 1,124,952 |
| MoM Growth Rate | -26.8% | +199.7% |
| Primary Market | United States | United States |
| Direct Visits | 2,991 | 401,320 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Ragie

Ragie positions itself as a context engine rather than just a vector database. Raw content comes in through file upload or native connectors for Google Drive, Notion, Slack, Confluence and similar tools, and stays synchronised automatically. Ragie then parses, chunks and indexes text, PDFs, images, audio and video through one unified pipeline.

Retrieval is hybrid by design: Ragie builds separate vector, keyword and summary indexes and combines them to improve relevance. Around that core sit the features production teams actually need — reranking, recency bias, webhooks, deep search and partitions that isolate data by tenant, workspace or customer for multi-tenant applications. An MCP server exposes the same knowledge base to agents with permissioned access.

The newer Ragie Parse product adds agentic OCR that extracts structured elements such as tables, forms, charts and key-value pairs with bounding boxes for traceability, while entity extraction lets you describe in plain language what should be pulled from each document. On the operational side, Ragie advertises SOC 2 Type II, GDPR, HIPAA and CCPA alignment, 99.9%+ uptime, and deployment flexibility across cloud, your own VPC, or on-premises. The company has also joined Ticketmaster, per its own announcement banner.

**Pricing & Plans:** Free tier plus a free trial, with paid plans scaling by usage; enterprise pricing and custom deployments (VPC or on-prem) are available by contacting sales.

- **Hybrid retrieval indexes:** Ragie builds and combines vector, keyword and summary indexes so retrieval surfaces accurate context rather than leaning on embeddings alone.
- **Native data connectors:** Sync content automatically from Google Drive, Notion, Confluence, Slack and many other sources, or embed connectors so your own customers connect their data.
- **Multimodal ingestion:** Text, PDFs, images, audio and video all flow through one unified pipeline, producing clean context packs regardless of the source format.
- **Ragie Parse agentic OCR:** Extract structured elements including tables, forms, charts and key-value pairs from documents, with precise bounding boxes for full traceability.
- **MCP server and partitions:** Give agents permissioned access to the knowledge base through MCP, and isolate data by tenant, workspace or customer to prevent leakage at scale.

**Strengths:** Removes the most time-consuming parts of RAG — ingestion, parsing, chunking, indexing and reranking — behind one API; Hybrid vector, keyword and summary indexes generally outperform embedding-only retrieval; Strong compliance posture with SOC 2 Type II, GDPR, HIPAA, CCPA and flexible cloud, VPC or on-prem deployment; Native connectors plus an MCP server make it usable both in your app and inside agent tools

**Limitations:** Priced as a managed service, so very high ingestion volumes may cost more than a self-built pipeline; A managed platform means less direct control over chunking strategies and index internals than an open-source stack; Enterprise capabilities such as custom deployment require going through sales

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

Ragie has 7,557 monthly visits, while TinyFish has 1,124,952. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Ragie has a month-over-month growth rate of -26.8%; TinyFish has +199.7%.

### How does pricing compare?

Ragie: Freemium, Free Trial, Free. Free tier plus a free trial, with paid plans scaling by usage; enterprise pricing and custom deployments (VPC or on-prem) are available by contacting sales. 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 | [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) |
| 5 | [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) |
| 6 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.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/ragie-vs-tinyfish

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