/datasets

The dataset builder for any kind of data.

TinySet builds the dataset that doesn’t exist yet, on any topic, from one simple prompt.

Build a datasetRead the docs

Data centers under construction in the US, with operator, location and planned capacity

Build
Your agent
7 columns approvedprimary key · Project URL
Project URLprimary keyurl
Project namestring
Operatorstring
Locationstring
Planned capacity (MW)number
Expected completion datedate
Under constructionfilterboolean
Build dataset
TinySet· Follow the AI data center buildout
Project nameOperatorPlanned capacity (MW)
1T5@Atlanta III Bldg 1T5 Data Centers–
2IREN: Horizon 2 Data CenterIREN50
3STACK Phoenix 01 CampusSTACK Infrastructure225
4Skybox: Hutto 3 Data CenterSkybox Datacenters (with Prologis)–
5PowerHouse: Irving CampusPowerHouse Data Centers201
6Corscale Gainesville 3Corscale54
148 rowsempty cells had no source

148 projects, each with operator, location and planned capacity.

Trusted by

GoogleDoorDashAmazonClassPassDigital GarageGrubhubGoogleDoorDashAmazonClassPassDigital GarageGrubhub
Features

Custom datasets, for data that is scattered across many sites.

You decide what goes in.

TinySet shows you the columns before it builds. Change them, add your own or drop what you don’t need.

Goes wide across the public web.

TinySet searches across many public sites and sources, so you get far more than the first dozen rows.

Your topic, your columns.

This is a custom dataset. You choose the subject and the fields, so it is built around your question instead of a fixed set of company or people fields.

Evidence and gaps stay visible.

A cell is filled only from a page TinySet read during the build, and left empty otherwise. Add source URLs and dates as columns so reviewers can check any value.

Use cases

What you can build with TinySet.

Use TinySet when you need the same fields across many companies, projects, places or products, and the data is spread across sites with no API and no download button.

Prompt

Humanoid robotics companies, with funding, robot name and stage

What came back
Company nameRobot nameFunding amount (USD)
1X TechnologiesNEO–
AddverbElixis–
AEI RobotAlice9700000
AgiBotA2 / X286000000
Use it anywhere

A dataset builder your agents can call.

Use TinySet from Claude Code, Cursor, Codex, Grok and the assistants your team already runs.

One command. Connect your agent to TinySet through MCP, the CLI or the SDK.

Add the TinyFish MCP server at https://agent.tinyfish.ai/mcp and help me sign in. Then use TinySet to build this dataset: Small modular reactor projects worldwide, with developer, country, capacity and status.

Copy and paste this into your AI agent.

View the docs

Also works with

Python SDKPython SDKn8nn8nSkillsSkillsHermes AgentHermes AgentDifyDifyOpenClawOpenClawLangChainLangChainTypeScript SDKTypeScript SDKCodexCodexREST APIREST APICLICLICursorCursorClaude CodeClaude CodeMCPMCPPython SDKPython SDKn8nn8nSkillsSkillsHermes AgentHermes AgentDifyDifyOpenClawOpenClawLangChainLangChainTypeScript SDKTypeScript SDKCodexCodexREST APIREST APICLICLICursorCursorClaude CodeClaude CodeMCPMCP
SkillsSkillsOpenClawOpenClawTypeScript SDKTypeScript SDKDifyDifyLangChainLangChainn8nn8nPython SDKPython SDKHermes AgentHermes AgentClaude CodeClaude CodeCursorCursorMCPMCPCLICLIREST APIREST APICodexCodexSkillsSkillsOpenClawOpenClawTypeScript SDKTypeScript SDKDifyDifyLangChainLangChainn8nn8nPython SDKPython SDKHermes AgentHermes AgentClaude CodeClaude CodeCursorCursorMCPMCPCLICLIREST APIREST APICodexCodex
DifyDifySkillsSkillsn8nn8nPython SDKPython SDKOpenClawOpenClawTypeScript SDKTypeScript SDKHermes AgentHermes AgentLangChainLangChainCLICLICodexCodexCursorCursorREST APIREST APIMCPMCPClaude CodeClaude CodeDifyDifySkillsSkillsn8nn8nPython SDKPython SDKOpenClawOpenClawTypeScript SDKTypeScript SDKHermes AgentHermes AgentLangChainLangChainCLICLICodexCodexCursorCursorREST APIREST APIMCPMCPClaude CodeClaude Code
TinyFish is rated 4.3 out of 5 on G2 - Users Love Us badge

Verified on G2

4.3 out of 5 on G2

  • TinyFish is the one layer I actually keep in the stack when I need live web, not another chatbot pretending it can browse. Search, Fetch, Browser, and Agent sit under one API, so I am not wiring Exa for search, Firecrawl for markdown, and Apify for the messy pages.
    Otman M.Deployment Strategist for AI adoption - ConsultingRead on G2 ↗
  • It is super fast! After onboarding it was very easy to get setup. The starter credits that were given were plenty and each search and fetch were free while agent mode provided a good bang for your buck.
    Verified User in Market ResearchRead on G2 ↗
  • I use TinyFish for hackathons and side projects to scrape websites and provide LLMs with precise context, and I love its speed, accuracy, and the fact that it's fast, cheap, and good. It can return information quickly and accurately from links inside websites or from specific links.
    Verified UserRead on G2 ↗
  • What I like most about TinyFish is how well it handles web-based sources that are hard to reach through conventional APIs.
    deepti b.Founder - Health, Wellness and FitnessRead on G2 ↗
  • The configuration is very simple and it supports MCP, making it basically ready to use out of the box.
    David W.Writer & Editor - Fund-RaisingRead on G2 ↗
  • TinyFish is the page-scrape layer I actually trust after a search API. I run Tavily for broad hits, then TinyFish run-sse against a specific URL with a goal — Gensyn docs, DoraHacks briefs, GitHub orgs, hackathon portals — and it returns extractable text instead of “10 blue links.”
    Henry M.Community Associate - Computer SoftwareRead on G2 ↗
  • I hand it a URL and get back clean Markdown instead of a wall of nav bars, cookie banners and ads, which cuts my token cost on every LLM call downstream. Search and Fetch being free is genuinely rare — everyone else meters exactly this.
    Alessio B.Web Developer - InternetRead on G2 ↗
  • TinyFish has become my default web layer inside Claude Code and OpenCode. The MCP connection was easy to set up, and I was running searches and fetches within minutes.
    Kartik S.Founder - InternetRead on G2 ↗
  • The standout feature of TinyFish is its unified, production-ready web agent architecture that replaces fragile scraping scripts with resilient, human-like browser navigation and multi-step workflow execution through a single API
    Ranganath D.Sr Manager - Airlines/AviationRead on G2 ↗
  • Tinyfish is a highly effective tool for agent search and fetch functions. It’s also free
    Verified User in InternetRead on G2 ↗
Pricing

Simple pricing for datasets.

$0.10

Per row

Paid from your Wallet. One build collects up to 250 rows across up to 64 columns. Need more than 250 rows? Talk to Sales.

Build a datasetTalk to Sales
FAQ

Questions, answered.

What is TinySet, and is it an AI dataset builder?

When should I use TinySet instead of TinyResearch?

How is TinySet different from web scraping?

How is it different from asking a chatbot for a table?

Can TinySet enrich a list I already have?

Where does the data come from?

Does the dataset stay current?

How many rows can I build?

How is TinySet priced?

Build any dataset from the web.

Use TinySet when the data you need is public, spread across many sites, and missing in one place.

Build a datasetRead the docs