# TinyFish

> TinyFish provides enterprise infrastructure for AI web agents. Run hundreds of websites simultaneously to navigate, authenticate, extract data, and automate web workflows with a fully serverless architecture.

## Key Pages
- [TinyFish](https://www.tinyfish.ai): Enterprise infrastructure for AI web agents — navigate, authenticate, extract, and automate across hundreds of sites.
- [Free Search & Fetch](https://www.tinyfish.ai/free-search-fetch): Free Search and Fetch APIs: live web search and full-page fetch built for AI agents.
- [Search API](https://www.tinyfish.ai/search): Web search API for AI agents, free on every plan. Benchmarked for accuracy and latency against Tavily, Exa, Parallel, and Firecrawl: more accurate results returned as clean structured JSON.
- [Benchmarks](https://www.tinyfish.ai/benchmarks): How TinyFish Search, Fetch, and Web Agent perform against alternatives on the benchmarks that matter for agents: SimpleQA, Fetch quality, BrowseComp, WebVoyager, and Online-Mind2Web. Results also embedded as JSON-LD on the page.
- [Pricing](https://www.tinyfish.ai/pricing): Usage-based pricing, no plans and no monthly minimum. Search and Fetch are free within rate limits, including at a $0 Wallet balance; Agent is $0.016 per step and Browser is $0.002 per minute, metered against prepaid Wallet funds.
- [Enterprise](https://www.tinyfish.ai/enterprise): What TinyFish runs for enterprise teams, the industries where it runs in production, and how it stays secure.
- [Partners](https://www.tinyfish.ai/partners): The Data Partner Alliance: leading data providers, curated by category, reachable from agents running on TinyFish.
- [Integrations](https://www.tinyfish.ai/integrations): Connect TinyFish to the tools and platforms in your stack.
- [Customers](https://www.tinyfish.ai/customers): Customer stories and outcomes built on TinyFish.
- [About](https://www.tinyfish.ai/about): TinyFish: the company building infrastructure for AI web agents.
- [Accelerator](https://www.tinyfish.ai/accelerator): The TinyFish accelerator program for founders.
- [Blog](https://www.tinyfish.ai/blog): Product updates, engineering, and research from TinyFish.

## Compare
- [TinyFish vs Exa](https://www.tinyfish.ai/compare/tinyfish-vs-exa): TinyFish vs Exa: 49.2% vs 38.4% top-result accuracy, 93% vs 73% live fetch coverage, and free Search and Fetch. See the benchmarks.
- [TinyFish vs Firecrawl](https://www.tinyfish.ai/compare/tinyfish-vs-firecrawl): TinyFish vs Firecrawl: 90.5% vs 61.7% content signal, 93% vs 62% fetch coverage, plus a web agent and stealth browser. Search and Fetch free.
- [TinyFish vs Parallel](https://www.tinyfish.ai/compare/tinyfish-vs-parallel): TinyFish vs Parallel: 3x faster search, 93% vs 58% fetch coverage, and an agent that acts on pages. Search and Fetch are free.
- [TinyFish vs Tavily](https://www.tinyfish.ai/compare/tinyfish-vs-tavily): TinyFish vs Tavily: 2x faster search, 49.2% vs 45.6% accuracy, 90.5% vs 77.2% content signal, plus a web agent. Search and Fetch are free.

## Industries
- [Retail and Consumer Goods](https://www.tinyfish.ai/enterprise/retail-and-consumer-goods): Own the Digital Shelf
- [Travel and Hospitality](https://www.tinyfish.ai/enterprise/travel-and-hospitality): Optimize Every Journey
- [Technology](https://www.tinyfish.ai/enterprise/technology): Architect Data Flow
- [Financial Services](https://www.tinyfish.ai/enterprise/financial-services): Secure Your Edge
- [Healthcare](https://www.tinyfish.ai/enterprise/healthcare): Unify Healthcare Data
- [Sports](https://www.tinyfish.ai/enterprise/sports): Master the Game

## Customer Stories
- [ClassPass](https://www.tinyfish.ai/customers/classpass): Keeping 32,000+ studio schedules accurate without manual checking
- [GetGo](https://www.tinyfish.ai/customers/getgo): Re-checking a fast-moving market throughout the day
- [Digital Garage](https://www.tinyfish.ai/customers/digital-garage): Making fragmented web intelligence operational in Japan
- [Google Hotels](https://www.tinyfish.ai/customers/google-hotels-japan): Reaching long-tail hotel supply in Japan that standard integrations miss
- [DoorDash](https://www.tinyfish.ai/customers/doordash): Managing web interaction complexity at global scale
- [Grubhub](https://www.tinyfish.ai/customers/grubhub): Turning messy web signals into a repeatable operating system
- [The Zebra](https://www.tinyfish.ai/customers/the-zebra): Compressing insurance quote turnaround into seconds
- [TestSprite](https://www.tinyfish.ai/customers/testsprite): Seamless browser execution as part of a fully autonomous testing pipeline

## Blog
- [We set a goal of 100K users by October and hit 300K](https://www.tinyfish.ai/blog/we-set-a-goal-of-100k-users-by-october-and-hit-300k)
- [300,000 Users and the Outcome Era](https://www.tinyfish.ai/blog/300-000-users-and-the-outcome-era)
- [How to Monitor a Website for Changes with TinyMonitor](https://www.tinyfish.ai/blog/how-to-monitor-a-website-for-changes-with-tinymonitor): Monitor website changes without manually checking the same pages over and over. This guide shows how to use TinyMonitor to track meaningful updates with the dashboard, REST API, webhooks, and MCP, and get notified when the changes you care about happen.
- [How to Become a Brand Ambassador with No Experience (and Get Paid) in 2026](https://www.tinyfish.ai/blog/how-to-become-a-brand-ambassador): Learn how to become a brand ambassador with no experience, find programs worth joining, build credibility, get paid, and avoid common ambassador scams.
- [How to Become a Developer Advocate (DevRel) with No Experience (2026)](https://www.tinyfish.ai/blog/how-to-become-a-developer-advocate): Learn what developer advocates do, the skills the role requires, what DevRel pays, and how to start building a Developer Relations career with no experience.
- [How to Organize a Hackathon: Step-by-Step Guide + Free Checklist (2026)](https://www.tinyfish.ai/blog/how-to-organize-a-hackathon): Learn how to organize a hackathon from planning to event day, covering formats, timelines, budgets, sponsors, judging, prizes, and a checklist you can follow.
- [How to Host a Tech Meetup: Step-by-Step Guide + 20 Event Ideas (2026)](https://www.tinyfish.ai/blog/how-to-host-a-tech-meetup): Plan your first tech meetup from start to finish, including the format, venue, budget, speakers, promotion, and run-of-show, plus 20 event ideas to try.
- [How to Grow a Discord Server from Scratch (for Tech and Student Communities, 2026)](https://www.tinyfish.ai/blog/how-to-grow-a-discord-server): Learn how to grow a Discord server from scratch, attract your first 100 members, improve onboarding, and build a community people actually return to.
- [How to Get Sponsors for Your Event or Hackathon (+ Email Template)](https://www.tinyfish.ai/blog/how-to-get-sponsors-for-an-event): Learn how to find and pitch sponsors for your event or hackathon, create sponsorship tiers, build a simple deck, and write outreach that gets responses.
- [What Is an AI Agent? Explained for Students (and How to Build One)](https://www.tinyfish.ai/blog/what-is-an-ai-agent): Learn what AI agents are, how they differ from chatbots and automation, and how students can build their first agent with or without code.
- [Best AI Agents for Students in 2026 (Free and Paid)](https://www.tinyfish.ai/blog/best-ai-agents-for-students): Compare the best AI agents for students in 2026, including free and paid tools for studying, research, coding, live web tasks, and everyday student workflows.
- [How to Find Internships in College with an AI Agent (+ Free Tracker Template)](https://www.tinyfish.ai/blog/how-to-find-internships-with-ai): Learn how to find internships in college, where to look, when to apply, and how an AI agent can find, verify, and track open roles for you.
- [How to Win a Hackathon with AI: Use TinyFish to Supercharge Your Project (2026)](https://www.tinyfish.ai/blog/how-to-win-a-hackathon-with-ai): Learn how to build a stronger AI hackathon project with live web data, plan your build time, create a memorable demo, and stand out to judges.
- [Web Scraping Project Ideas with Source Code (Python and No-Code, 2026)](https://www.tinyfish.ai/blog/web-scraping-project-ideas): Explore 20 web scraping project ideas with source code, from beginner Python projects to AI agents that can work with dynamic and complex websites.
- [Campus Ambassador Programs Open Now (2026)](https://www.tinyfish.ai/blog/campus-ambassador-programs)
- [25 AI Project Ideas for College Students (With Source Code)](https://www.tinyfish.ai/blog/ai-project-ideas-for-college-students)
- [How to Make Money Building AI Products as a Student (2026)](https://www.tinyfish.ai/blog/make-money-building-ai-as-a-student)
- [Build Your First Web Agent in 15 Minutes, Student Edition (No Code Needed)](https://www.tinyfish.ai/blog/build-your-first-web-agent-student-edition)
- [12 Community Ambassador Programs to Lead in Your City in 2026](https://www.tinyfish.ai/blog/community-ambassador-programs)
- [How to Use TinyFish in ChatGPT: 10 Student Use Cases](https://www.tinyfish.ai/blog/tinyfish-in-chatgpt-student-use-cases)
- [How to Use TinyFish in Claude: 10 Student Use Cases](https://www.tinyfish.ai/blog/tinyfish-in-claude-student-use-cases)
- [How to Use TinyMonitor: API, MCP, Pricing, and Examples](https://www.tinyfish.ai/blog/how-to-use-tinymonitor): Learn how to use TinyMonitor to monitor public pages and search topics, set up alerts, create monitors through the API or MCP, and understand pricing and limits.
- [10 Best Google Alerts Alternatives in 2026](https://www.tinyfish.ai/blog/google-alerts-alternatives): Google Alerts works for basic keyword tracking, but it can be noisy and isn’t built for page changes or developer workflows. Compare 10 Google Alerts alternatives for web mentions, page monitoring, social listening, and APIs.
- [Best Developer and AI Ambassador Programs in 2026](https://www.tinyfish.ai/blog/developer-ambassador-programs)
- [How to Get $35 in Free AI Agent Credits as a Student](https://www.tinyfish.ai/blog/free-ai-agent-credits-for-students)
- [From 100K to 200K users in 18 days](https://www.tinyfish.ai/blog/from-100k-to-200k-users-in-18-days)
- [How to Create a Google Form With ChatGPT Using TinyFish](https://www.tinyfish.ai/blog/create-a-google-form-with-chatgpt-using-tinyfish): ChatGPT can help plan a Google Form, but TinyFish can take the workflow into the browser and build the draft for you. This guide shows how to create a Google Form from a prompt, connect your Google account, review the finished form, and make changes before publishing.
- [Free AI Credits for Students in 2026: The Complete List](https://www.tinyfish.ai/blog/free-ai-credits-for-students)
- [8 Best ChatGPT Plugins in 2026: Tools Worth Using](https://www.tinyfish.ai/blog/best-chatgpt-plugins): A practical guide to the best ChatGPT plugins in 2026, including TinyFish for live web tasks, Composio for multi-app workflows, GitHub, Slack, Canva, and more.
- [The Outcome Era: Why Enterprise AI Agents Need an Execution Factory](https://www.tinyfish.ai/blog/enterprise-ai-agents-execution-factory): Enterprise AI agents are moving beyond impressive demos toward persistent, production-scale execution. As intelligence gets cheaper, the harder problem is building the infrastructure that makes agent outcomes reliable, recoverable, observable, and economical at scale.
- [TinyFish Ambassador Program: Tiers, Rewards and How to Join](https://www.tinyfish.ai/blog/tinyfish-ambassador-program)
- [TinyFish Student Program: Tiers, Rewards and How to Join](https://www.tinyfish.ai/blog/tinyfish-student-program)
- [Introducing the TinyFish Students and Ambassadors Programs](https://www.tinyfish.ai/blog/tinyfish-students-and-ambassadors-programs)
- [What Is Jev AI? A Beginner’s Guide to TypeSafe’s System One Model](https://www.tinyfish.ai/blog/what-is-jev-ai): Jev AI is TypeSafe AI’s System One model for making fast, structured decisions from supplied state. This guide explains how Choice, Score, and Noul work, where Jev fits alongside LLMs, and its key use cases, limits, pricing, and API model.
- [How Photon Built Live Lead Research Directly Into iMessage With TinyFish](https://www.tinyfish.ai/blog/photon-partners-with-tinyfish)
- [Claude Code Context Window: What Fills It, What It Costs](https://www.tinyfish.ai/blog/claude-code-context-window): See what fills the Claude Code context window, how repeated input affects your bill, and why long sessions lose accuracy. Explore practical ways to manage context with compaction, fresh sessions, skills, subagents, and cleaner web content.
- [Prompt Compression and Caching](https://www.tinyfish.ai/blog/prompt-compression-and-caching): Prompt compression reduces what an agent sends to a model; caching makes repeated input cheaper. Compare four approaches on the same task, explore provider pricing, and learn how to diagnose cache misses and measure cost per successful run.
- [The web is getting its second user](https://www.tinyfish.ai/blog/the-web-is-getting-its-second-user)
- [The Objections Are the Deal: Startup Sales Lessons](https://www.tinyfish.ai/blog/sales-objection-handling-startups): At GTM Academy in San Francisco, our cofounder Sudheesh Nair sat down with Nishkarsh, founder of HydraDB, and worked through the questions a buyer actually asks. Not the pitch. The pushback.
- [Building a HubSpot enrichment loop with TinyFish](https://www.tinyfish.ai/blog/hubspot-enrichment-tinyfish): See how TF built an automated HubSpot enrichment loop with TinyFish Search and Fetch to research companies, validate findings, and write sourced account data directly into the CRM.
- [Introducing TinyMonitor: Subscribe to the web](https://www.tinyfish.ai/blog/introducing-tinyfish-monitor-subscribe-to-the-web)
- [Search should be free, especially for AI agents](https://www.tinyfish.ai/blog/search-should-be-free-especially-for-ai-agents)
- [The Complete Guide to CRM Data Enrichment](https://www.tinyfish.ai/blog/crm-data-enrichment): Discover how CRM data enrichment works, what data to enrich, and the best practices for maintaining a complete, reliable customer database.
- [How scam.ai verifies hiring candidates and insurance claims with TinyFish](https://www.tinyfish.ai/blog/scamai-tinyfish-hiring-insurance-claims-verification): scam.ai's Reality runs TinyFish Search and Fetch to find out who a candidate or a claim actually is, checks the file itself, and hands a reviewer a packet that stops at an explicit state instead of a verdict.
- [Search API Benchmark 2026: What Artificial Analysis Shows](https://www.tinyfish.ai/blog/search-api-benchmark): How do Search APIs perform inside an AI agent workflow? This benchmark comparison looks at 12 configurations across search quality, cost, latency, and task-level performance, including TinyFish, Perplexity, Firecrawl, Exa, Parallel, and others.
- [Agentic Search Architecture: How Production-Ready Search Agents Work](https://www.tinyfish.ai/blog/production-agentic-search-architecture)
- [Enterprise Sales for Founders: A GTM Playbook from TinyFish and Airwallex](https://www.tinyfish.ai/blog/enterprise-sales-airwallex-tinyfish): Last week we filled a room in San Francisco with founders, almost all of them selling something right now. Sudheesh Nair, TinyFish's cofounder, has built two enterprise companies. Philipp Reichardt is VP of Enterprise for the Americas at Airwallex, and joined five and a half years ago to launch the business in the US.
- [Agentic Context Engineering: ACE Framework and Practices](https://www.tinyfish.ai/blog/agentic-context-engineering): Agentic context engineering turns agent context into an evolving playbook, a method formalized by the Stanford ACE framework that lifted agent scores 10.6%.
- [Context Engineering vs Prompt Engineering: 5 Key Differences](https://www.tinyfish.ai/blog/context-engineering-vs-prompt-engineering): Prompt engineering shapes how you instruct a model while context engineering controls everything the model knows, making prompting a subset of context work.
- [Agentic Search vs RAG: Which One to Choose? 2026 guide](https://www.tinyfish.ai/blog/agentic-search-vs-rag-which-one-to-choose)
- [Context Rot: How Long Inputs Degrade LLM Accuracy in 2026](https://www.tinyfish.ai/blog/context-rot): Context rot is the decline in LLM accuracy as input grows. Chroma tested 18 frontier models and found all of them degrade well before context is full.
- [Agentic Search Explained: How AI Agents Use the Web in 2026](https://www.tinyfish.ai/blog/agentic-search): Agentic search is a retrieval method where an AI agent plans queries, reads live results, and refines its search in a loop until the task is answered.
- [The LLM Context Window, Explained](https://www.tinyfish.ai/blog/llm-context-window)
- [9 Agentic Search Tools Ranked by Index Points per Dollar](https://www.tinyfish.ai/blog/agentic-search-tools): Bots now make up 53% of web traffic, and every one of them needs a search API that returns model-readable results without blowing up the token bill. I ranked nine agentic search tools, TinyFish included, on a single number: Artificial Analysis Search Index points per dollar of total task cost. The spread is six to one between the top and bottom of the list, and the cheapest option is not always the one with the lowest per-search price.
- [Best Browser Use Alternatives 2026](https://www.tinyfish.ai/blog/browser-use-alternatives)
- [Why TinyFish Search is Free](https://www.tinyfish.ai/blog/why-tinyfish-search-is-free)
- [Right Tool, Right Job: You Still Pay to Read the Web](https://www.tinyfish.ai/blog/right-tool-right-job): The frontier models crossed "good enough" for most business tasks a while ago, and enterprises have noticed. Over four quarters the market went from unlimited spend to routing every task to the cheapest model that can finish it.
- [The 6 Best AI Web Scraping Tools in 2026 [Real Ratings & Reviews]](https://www.tinyfish.ai/blog/ai-web-scraping-tools): Explore the best AI web scraping tools in 2026. Compare features, pricing, and find the right tool to help you extract structured data faster.
- [7 Best AI Search Engines for Developers & AI Agents (2026)](https://www.tinyfish.ai/blog/best-ai-search-engine): Compare the best data enrichment tools for sales, AI, customer intelligence, and business automation. Explore features, pricing, strengths, and use cases
- [12 AI Agent Use Cases Across Industries for Productivity](https://www.tinyfish.ai/blog/ai-web-agents-real-world-use-cases): 12 Top AI agent use cases across industries, including customer support, research, automation, and enterprise workflows. See how AI agents work.
- [7 Best Data Enrichment Tools & Software Reviewed for 2026](https://www.tinyfish.ai/blog/data-enrichment-tools): Compare the best data enrichment tools for sales, AI, customer intelligence, and business automation. Explore features, pricing, strengths, and use cases.
- [7 Best Competitive Intelligence Tools Reviewed for DevOps](https://www.tinyfish.ai/blog/competitive-intelligence-tools): Compare the best competitive intelligence tools for tracking competitors, monitoring market changes, and gathering actionable insights. Compare features, pricing, pros, and use cases.
- [7 Best Web Scraping Tools for AI, Automation & Data Extraction](https://www.tinyfish.ai/blog/best-web-scraping-tools): Compare the best web scraping tools for AI agents, automation, and large-scale data extraction. Explore features, pricing, strengths, and use cases
- [Best Apify Alternatives for AI Web Agents in 2026](https://www.tinyfish.ai/blog/apify-alternatives): The top Apify alternatives are Firecrawl, TinyFish, Bright Data, Scrapy, ScraperAPI, Octoparse, and Crawl4AI, each built for a different workload.
- [Best Claude Code MCP Servers: Eight Workflow-Focused Picks for 2026](https://www.tinyfish.ai/blog/best-claude-code-mcp-servers)
- [8 best Tavily alternatives in 2026: real reviews & pricing](https://www.tinyfish.ai/blog/tavily-alternatives): Looking for Tavily alternatives? Compare features, read real reviews, and get pricing details for 8 tools.
- [How CREAO made TinyFish its Default Web Layer](https://www.tinyfish.ai/blog/creao-tinyfish-default-web-layer): CREAO integrated TinyFish Search and Fetch into its default agent tool set, making live web reading, scholarly research, and strict-recency news available without user configuration.
- [Enterprise sales for AI-native startups: what our CRO told a room full of founders.](https://www.tinyfish.ai/blog/enterprise-sales-ai-native-startups)
- [Parallel.ai Pricing in 2026: What Is The Real Cost?](https://www.tinyfish.ai/blog/parallel-pricing): Get a complete Parallel.ai pricing guide covering plans, limits, overages, hidden costs, and real-world value.
- [AI Agent Infrastructure Stack: A Practical Guide for Developers](https://www.tinyfish.ai/blog/ai-agent-infrastructure-stack): Learn what an AI agent infrastructure stack is, explore its essential layers, and discover the tools needed to build reliable, production-ready AI agents.
- [Firecrawl Pricing in 2026: How Much Does it Really Cost?](https://www.tinyfish.ai/blog/firecrawl-pricing): Not sure about Firecrawl pricing? See costs, plans, and hidden fees so you can estimate your budget and compare alternatives before you buy.
- [How Hellyeah's AI Marketing Agent Launches Campaigns in 10 Minutes with TinyFish](https://www.tinyfish.ai/blog/hellyeah-partners-with-tinyfish)
- [Browser Agent Security Risks: Common Threats & Best Practices](https://www.tinyfish.ai/blog/browser-agent-security-risk): Learn the biggest browser agent security risks, common attack vectors, and best practices for building secure AI browser agents in production
- [Best Web Data Extraction APIs](https://www.tinyfish.ai/blog/best-web-data-extraction-apis): A web data extraction API retrieves webpage content and converts it into clean text, structured fields, or other machine-readable output for AI agents, RAG systems, analytics, and automation. This guide compares TinyFish, Firecrawl, ScrapingBee, ScrapingDog, Bright Data, Scrape.do, Apify, Decodo, and Zyte based on dynamic-site rendering, output formats, failure handling, integrations, scalability, and production cost. TinyFish is the top choice for clean live web content and workflows that may expand from fetching known URLs to search, browser control, or multi-step navigation. Firecrawl stands out for public-site crawling, Apify for pre-built scrapers, Bright Data for enterprise-scale extraction, and Zyte for typed data. The best option ultimately depends on the target sites, required outputs, workflow complexity, and total cost of rendering, proxies, retries, and maintenance.
- [How Tethral Reads Grocery Data Trapped in Images with TinyFish](https://www.tinyfish.ai/blog/tethral-partners-with-tinyfish)
- [What Is a Token in AI? How Tokens Work and Cost](https://www.tinyfish.ai/blog/what-is-a-token-in-ai): AI tokens are the units of text that language models process and generate; a token may be a word, part of a word, punctuation mark, number, or space-prefixed fragment. Tokens determine how much information fits within a model’s context window and contribute directly to API costs. AI agents typically consume more tokens than basic chatbots because they make repeated model calls while processing instructions, conversation history, tool definitions, webpages, tool results, retries, and intermediate state. Token efficiency therefore depends on more than shortening prompts: it requires giving the model relevant, high-signal context while keeping unnecessary content and workflow state outside its context window. Dedicated web infrastructure such as TinyFish can handle search, extraction, and browser navigation separately, then return cleaner evidence to the reasoning model. Teams should measure input, cached-input, reasoning, output, and tool costs per successful task—not merely per request—to evaluate real agent efficiency.
- [How Ansur's AI Workers Find Suppliers That Aren't in the Database using TinyFish](https://www.tinyfish.ai/blog/ansur-partners-with-tinyfish)
- [8 Best Parallel.ai Alternatives & AI Competitors in 2026: Real Reviews](https://www.tinyfish.ai/blog/parallel-alternatives-and-competitors): We reviewed the 8 best Parallel.ai alternatives and competitors in 2026. Get real user reviews, features, and pricing for each tool.
- [Exa Pricing in 2026: How Much Does It Really Cost?](https://www.tinyfish.ai/blog/exa-pricing): Get a complete Exa pricing guide covering plans, limits, overages, hidden costs, and real-world value.
- [Browserbase Pricing in 2026: What Are You Really Paying For?](https://www.tinyfish.ai/blog/browserbase-pricing): Get a complete Browserbase pricing guide covering plans, hidden costs, and real-world value. Decide which plan to choose or explore alternatives.
- [Best Web Search API For AI Agents 2026](https://www.tinyfish.ai/blog/best-web-search-api-for-ai-agents): The best web search APIs for AI agents in 2026 include TinyFish, Firecrawl, Parallel, Tavily, Exa, Bright Data SERP API, Brave Search API, and Serper. In this comparison, TinyFish ranks first for its free Search-to-Fetch path, which helps agents move from discovering relevant URLs to retrieving clean destination-page evidence. Firecrawl is better suited to workflows that expand into scraping or crawling, while Parallel emphasizes low-latency search and deeper research modes. Tavily focuses on research agents and cited reports, and Exa specializes in semantic retrieval. Bright Data and Serper provide structured search-engine results for ranking, localization, and Google-specific data, while Brave offers an independent search index. This guide compares each API’s relevance, freshness, extraction capabilities, integrations, pricing, and production fit, while explaining when to choose a SERP API, an independent index, or a search API paired with live page retrieval.
- [How Okara's AI CMO Runs on TinyFish Search & Fetch](https://www.tinyfish.ai/blog/okara-ai-cmo-tinyfish-search-fetch): Okara was running up to 500 searches to research one website on its old provider. It switched to TinyFish Search and Fetch: on-par quality, faster and cheaper.
- [8 Best Exa Alternatives & AI competitors in 2026: Real Reviews](https://www.tinyfish.ai/blog/exa-alternatives): We reviewed 8 best Exa alternatives and AI competitors in 2026. Read real reviews and compare features and pricing.
- [Best AI Browser Agents in 2026: Compared by Use Case](https://www.tinyfish.ai/blog/ai-browser-agents): The best AI browser agent depends on what you're trying to build. Browser infrastructure (TinyFish), research agents (Perplexity), browser automation agents (Skyvern), developer frameworks (Browser Use), and enterprise automation platforms (UiPath) each solve different problems, making category-based comparison more useful than a single ranked list. This guide compares the leading tools across these five categories, explains when to use Search, Fetch, Browser, or Web Agent layers, and evaluates each option using production-focused criteria including authentication, reliability, benchmarks, pricing, and architectural trade-offs, so you can choose the right browser agent for your workflow.
- [What Are Agentic Workflows? A Complete Guide for Developers](https://www.tinyfish.ai/blog/agentic-workflows): Learn what are agentic workflows, how they work, and how AI agents use reasoning, tools, memory, and real-time data to automate complex tasks.
- [Why Bonfire Analytics Switched from Tavily to TinyFish](https://www.tinyfish.ai/blog/bonfire-analytics-tavily-to-tinyfish): Bonfire Analytics moved its healthcare entity resolution from Tavily to TinyFish for better accuracy at a fraction of the per-query cost. Read the case study.
- [Meet Mako. A model built to operate the live web.](https://www.tinyfish.ai/blog/meet-mako-a-model-built-to-operate-the-live-web)
- [How BigSet Works Under-the-Hood: Any Dataset, From a Sentence](https://www.tinyfish.ai/blog/how-bigset-works-under-the-hood-any-dataset-from-a-sentence)
- [How I built a comprehensive AI trend monitor with real-time web data](https://www.tinyfish.ai/blog/built-an-ai-trend-monitor-with-real-time-web-data)
- [Herding Geniuses: Helping AI-Superpowered Engineers Build a Startup](https://www.tinyfish.ai/blog/herding-geniuses-helping-ai-superpowered-engineers-build-a-startup): When managing highly opinionated, top-tier engineers in the AI era, I've found it's best to throw out rigid Agile playbooks and Gantt charts that go obsolete in an afternoon. I lean into TinyFish culture of radical freedom paired with structured operational support to keep our fast-moving team aligned around a shared strategy instead of heavy processes. Doing this allowed our developers to thrive as high-velocity generalists and ship major features rapidly, all while keeping our momentum perfectly balanced.
- [Lessons from Building a Deep Research System](https://www.tinyfish.ai/blog/lessons-from-building-a-deep-research-system): When building deep research AI agents, I've found it's best to keep planning and execution inside a shared reasoning loop while offloading deterministic tasks to code instead of additional LLMs. I used TinyFish to overcome context loss, latency, and orchestration overhead by simplifying my architecture and optimizing the system around how researchers actually evaluate evidence. Doing this produced far more focused reports with stronger citations, all while keeping my compute costs way down.
- [99% of Our Code Is AI-Written. Here's What That Actually Means.](https://www.tinyfish.ai/blog/99-percent-of-our-code-is-ai-written-here-is-what-that-actually-means): Developers can use AI coding agents as teammates by assigning them well-scoped implementation tasks while humans focus on planning, architecture, and judgment. Rather than reviewing every generated line, engineers increasingly manage multiple AI agents, intervening primarily for high-risk decisions and architectural guidance. At TinyFish, this workflow now enables AI to generate roughly 99% of the code in the team's most active repository.
- [Which TinyFish API should you use?](https://www.tinyfish.ai/blog/which-tinyfish-api-should-you-use)
- [Building User Experience for AI Agents](https://www.tinyfish.ai/blog/designing-for-ai-agents): Two-thirds of agents connected to our MCP server, then did nothing. Lessons on designing for AI agents: cost legibility, agent-first UX, and GEO.
- [Context vs. Tokens in Agentic Coding: When to Use Subagents, and When to Fork](https://www.tinyfish.ai/blog/agentic-coding-context-vs-tokens-subagents): Agentic coding hides a tradeoff between context window and token cost. Here's when to use subagents, when to fork, and how to stop paying the re-discovery tax.
- [The Web Has No Front Door for Agents](https://www.tinyfish.ai/blog/agentic-web-front-door-for-agents): AI agents are already your users—forced to disguise as humans just to log in. Why the agentic web needs agent identity and recognition, not stealth.
- [TinyFish x VideoDB: We made the World Cup searchable](https://www.tinyfish.ai/blog/tinyfish-videodb-partnership)
- [TinyFish Webhooks: Automate and Monitor Web Agent Runs](https://www.tinyfish.ai/blog/how-to-use-tinyfish-webhooks)
- [I Built an AI Investigation System That Treats Contradictions as the Product, Not the Problem](https://www.tinyfish.ai/blog/i-built-an-ai-investigation-system-that-treats-contradictions-as-the-product-not-the-problem)
- [AI Agents for Infrastructure: Speed Without Dropping Prod](https://www.tinyfish.ai/blog/ai-in-infrastructure): Where AI earns its keep in infrastructure work – and where it will quietly delete your database if you let it.
- [How We Built a Modern Observability Pipeline in Three and a Half Weeks](https://www.tinyfish.ai/blog/self-hosted-observability-stack): How we built a self-hosted observability stack for ~$300 a month instead of $15K with AI agents as the query layer.
- [TinyFish: A Tiny Tool, a Big Part of My Vibe Coding](https://www.tinyfish.ai/blog/tinyfish-a-tiny-tool-a-big-part-of-my-vibe-coding)
- [Building BookDeal with TinyFish: From Twelve Tabs to One Command](https://www.tinyfish.ai/blog/building-bookdeal-with-tinyfish-from-twelve-tabs-to-one-command)
- [Give Agents Better Context, Not More Context](https://www.tinyfish.ai/blog/give-agents-better-context-not-more-context)
- [How CanyonRift Uses TinyFish for Payer Policy Research](https://www.tinyfish.ai/blog/how-canyonrift-uses-tinyfish-for-payer-policy-research)
- [How I Used TinyFish to Find Local Suppliers I’d Have Missed](https://www.tinyfish.ai/blog/how-i-used-tinyfish-to-find-local-suppliers-i-d-have-missed)
- [How We Evaluate Fetch Quality for AI Agents](https://www.tinyfish.ai/blog/how-we-evaluate-fetch-quality-for-ai-agents)
- [Agents Are Not Strangers. Stop Making Them Act Like One.](https://www.tinyfish.ai/blog/tinyfish-browser-context-profiles)
- [#1 on WebVoyager: TinyFish Scores 91.1% on Live Web Browser Agent Benchmark](https://www.tinyfish.ai/blog/most-accurate-ai-web-agent)
- [Inside Knowledge, Outside Truth](https://www.tinyfish.ai/blog/tinyfish-glean-partnership): Bringing TinyFish live-web tools into Glean for MCP-enabled RFP discovery and response prep A practical partner workflow for combining enterprise context with current external evidence.
- [Why We're Going to Japan (And Why It's Not What You'd Expect)](https://www.tinyfish.ai/blog/Nikkei-NESIC-interview): TinyFish just made headlines in Nikkei Asia, one of Asia's most respected business publications, for our expansion into Japan.
- [TinyFish Vault: Your Web Agent Can Now Log In Without Touching Your Passwords](https://www.tinyfish.ai/blog/tinyfish-vault-your-web-agent-can-now-log-in-without-touching-your-passwords)
- [How to Write Goals For AI Agents](https://www.tinyfish.ai/blog/how-to-write-goals-for-ai-agents): A bad LLM prompt gets a bad answer. A bad agent goal gets wrong data, missing fields, or an unintended action. This guide covers the four-element goal framework and ready-to-use patterns for common web agent use cases.
- [Best Claude Code MCP Servers: Eight Workflow-Focused Picks for 2026](https://www.tinyfish.ai/blog/best-mcp-servers-for-claude-code): The best MCP servers for Claude Code are: GitHub, Context7, Sentry, Linear, Jira, DBHub, TinyFish, and Exa.
- [80% of your Web Fetch returns Junk](https://www.tinyfish.ai/blog/80-of-your-web-fetch-returns-junk)
- [Search and Fetch are now FREE for every agent, everywhere!](https://www.tinyfish.ai/blog/search-and-fetch-are-now-free-for-every-agent-everywhere)
- [6 best Browserbase alternatives & competitors to try in 2026](https://www.tinyfish.ai/blog/browserbase-alternatives): We reviewed 6 of the best Browserbase alternatives and competitors in 2026. Get real user reviews, features, and pricing for each platform.
- [8 Best Firecrawl Alternatives in 2026: Real Reviews & Pricing](https://www.tinyfish.ai/blog/firecrawl-alternatives): Looking for Firecrawl alternatives? Compare features, read real reviews, and get pricing details for 8 tools.
- [7 Best Octoparse Alternatives for AI and No-Code Teams in 2026](https://www.tinyfish.ai/blog/octoparse-alternatives)
- [Production-Grade Web Fetching for AI Agents](https://www.tinyfish.ai/blog/production-grade-web-fetching-for-ai-agents)
- [Why Stitched Web Stacks Fail in Production](https://www.tinyfish.ai/blog/why-stitched-web-stacks-fail-in-production): Search finds a page your fetch layer cannot render. Fetch returns content your agent cannot trust. Browser automation loses the session context the next step needs. So teams end up writing glue code, fallback logic, session handling, retries, and validation just to make separate tools behave like one system.
- [Build Your First Web Agent With TinyFish](https://www.tinyfish.ai/blog/tinyfish-web-agent-getting-started-10-minutes): Tired of brittle selectors and babysitting headless browsers? TinyFish lets you describe your goal in plain English while a remote agent handles navigation, JavaScript, proxies, and anti-bot hurdles—returning clean JSON in one call. This quick-start guide shows how to go from zero to a working web agent in minutes, plus the production patterns that keep your pipelines reliable.
- [What is a Web Agent? How AI Browser Agents Work in 2026](https://www.tinyfish.ai/blog/what-is-a-web-agent): A web agent uses LLMs to navigate, interact with, and extract data from live websites autonomously. This guide covers architecture, use cases, and how to choose one
- [We Shipped an MCP Server. Then We Shipped a CLI. The CLI Won.](https://www.tinyfish.ai/blog/we-shipped-an-mcp-server-then-we-shipped-a-cli-the-cli-won)
- [TinyFish × n8n: Web Agents Just Landed in Your Workflow Canvas](https://www.tinyfish.ai/blog/tinyfish-n8n-web-agents-just-landed-in-your-workflow-canvas): TL;DR: TinyFish is now an n8n community node. Drop it into any workflow, point it at a URL, tell it what you want, and get clean JSON back. The web just became another input in your automation pipeline.
- [The TinyFish Accelerator - Build the Agentic Web. 9 weeks to $2M Seed.](https://www.tinyfish.ai/blog/the-tinyfish-accelerator-build-the-agentic-web-mvp-to-seed-in-9-weeks-from-usd2m-pool): TinyFish is launching a high-intensity virtual accelerator program, backed by $2M from Mango Capital. This accelerator is designed to fund and support the founders building the next generation of software on top of the Agentic Web. Applications open February 17, 2026. Rolling admissions.
- [Gemini 3.0 Flash + Mino API: When Reasoning Meets Real Execution](https://www.tinyfish.ai/blog/gemini-3-0-flash-mino-api-when-reasoning-meets-real-execution): Google's Gemini 3.0 Flash delivers measurably better accuracy than 2.5 Flash, and that improvement compounds at scale. We tested it on complex multi-step navigation—the results were immediate: faster execution, more precise decisions, cleaner output. For production workflows, a 5% accuracy gain translates to hundreds fewer failures per month. If consumer browser agents felt too inconsistent for production, this changes the equation.
- [The Era of Abundant Intelligence](https://www.tinyfish.ai/blog/abundant-intelligence): The internet gave humans access to knowledge. Now AI agents need access to action. The web wasn't built for machines. It was built for humans with browsers and clicks. TinyFish is building the infrastructure that makes the web operable for agents: stable contracts instead of brittle DOMs, outcomes instead of search results, reliable execution at scale. Google organized the world's information. We're making it executable.
- [Liability When Nobody Decided Anything](https://www.tinyfish.ai/blog/liability-when-nobody-decided-anything): A procurement agent selects a faulty supplier. A fleet robot chooses contaminated fuel. Current liability frameworks assume human judgment in the loop. Courts will soon discover that assumption no longer holds.
- [Dark Patterns Meet Their Match (A dark reason why bot-detection exists)](https://www.tinyfish.ai/blog/dark-patterns-meet-their-match-a-dark-reason-why-bot-detection-exists): Urgency timers, hidden fees, confirmation tricks, decades of conversion optimization exploited human cognitive bias. Machines parse terms programmatically. The manipulation toolkit becomes suddenly obsolete.
- [The Consumer Who Chose to Stop Choosing](https://www.tinyfish.ai/blog/the-consumer-who-chose-to-stop-choosing): Automation is not only imposed; it is often welcomed. The exhausted consumer delegates decisions willingly. Why we surrender choice may matter more than the technology that enables surrender.
- [The Quiet Death of Impulse Revenue](https://www.tinyfish.ai/blog/the-quiet-death-of-impulse-revenue): Checkout aisles, upsells, and last-minute additions depend on human irrationality. When agents and robots execute against constraints, entire margin structures collapse.
- [Codified Learning: The Backbone of Reliable, Scalable Enterprise Web Agents](https://www.tinyfish.ai/blog/codified-learning-the-backbone-of-reliable-scalable-enterprise-web-agents): Most AI web agents collapse under production load. Not because the models are weak, but because the architecture is fragile. TinyFish proposes "codified learning" as a solution. Codified learning structures workflows as typed decision graphs, isolating ambiguity to the minority of steps that need it and keeping everything else deterministic, cacheable, and observable.
- [Proving I'm Human (When I'm Not)](https://www.tinyfish.ai/blog/proving-i-m-human-when-i-m-not): Every day, Mino navigates thousands of websites while passing tests designed to prove something impossible: that this enterprise web agent is human.
- [TinyFish & OpenAI: Exploring the World of Intelligent Agents](https://www.tinyfish.ai/blog/tinyfish-openai-exploring-the-world-of-intelligent-agents): A conversation between TinyFish co-founder Shuhao Zhang, CTO Mark Peng, and OpenAI's Dmitry Pimenov focusing on the evolution of AI agents technology.
- [Why 90% of the Internet Is Invisible (And Why AI Hasn't Fixed It)](https://www.tinyfish.ai/blog/why-90-of-the-internet-is-invisible-and-why-ai-hasnt-fixed-it): Search engines index less than 5% of online content, with the remaining 90%+ existing behind authentication walls, interactive workflows, and dynamic interfaces.
- [The Web Outgrew the Browser](https://www.tinyfish.ai/blog/the-web-outgrew-the-browser): 90% of web data lives behind logins, scripts, and dynamic interfaces that browsers can't automate. Enterprise Web Agents are the infrastructure layer built to operate there.
- [Why We Launched With a Story About a Tiny Japanese Hotel](https://www.tinyfish.ai/blog/why-we-launched-with-a-story-about-a-tiny-japanese-hotel): We launched with a tiny Japanese hotel for a simple reason. Access. Intelligence should not be a luxury. It should help the smallest operator show up with the same clarity as the largest brand.

Canonical site: https://www.tinyfish.ai