More than standard web search

Let your AI work with public data

Go beyond standard web search. Let your AI work with websites, maps, social platforms, videos, PDFs and other public sources, then return structured data directly in your chat.

Self serve Usage based balance MCP compatible Works in your AI client
User
Find a good wedding photographer in Austin, not crazy expensive
Running data task
Structured output
Maps Websites Reviews Public pages
Name Rating Website People mention
Luna Studio 4.7 Found Calm style
North Loop Photo 4.5 Found Outdoor shots
Wild Oak 4.4 Found Fast replies
Task coverage

Tasks you can run in your chat

Choose a task, ask in chat and get structured data back.

Market and competitor research

Compare competitors, pricing and positioning.

Prompt
Compare these 5 competitors and show what’s actually different

Local business research

Collect places, ratings, reviews and contacts.

Prompt
Find reliable moving companies nearby with reviews, websites and rough prices.

Lead and company research

Build lead lists and company briefings.

Prompt
Find companies that might need this and make an outreach list

Social data analysis

Analyze posts, comments and reactions.

Prompt
Find what people are complaining about with this product

Content and creator research

Work with videos, transcripts and comments.

Prompt
Find recent YouTube videos about this and summarize the comments

Product and catalog research

Extract product data from public pages.

Prompt
Pull products and prices from these pages into a table

Document and source research

Extract data from PDFs and long sources.

Prompt
Read this PDF and pull out the important numbers

Everyday AI research

Let your AI collect and compare information.

Prompt
Give me a quick brief on this company before my call

What you can ask about

Local services and places
who to choose, where to go, what people say, what it costs
Competitors and markets
positioning, pricing, messaging, offers, public signals
Companies and leads
who matches your ICP, who to contact, what to know before outreach
Reviews and complaints
recurring themes, sentiment, pain points, common objections
Videos and social discussions
comments, reactions, creators, topics, audience signals
Products, pages and documents
prices, descriptions, tables, PDFs, reports, long pages

Sources you can work with

Public sources, grouped by the job.

Keep the mental model simple: choose the kind of source you need, then ask your AI to search, open, compare, extract or summarize public data.

Web and search

Find pages, open sites, compare public information and turn messy pages into structured results.

GGoogle Websites Product pages News

Maps and local

Research places, services, reviews, local competitors and nearby business options.

Google Maps Local businesses Reviews

Video and creators

Work with videos, channels, comments, transcripts, creator signals and audience reactions.

YouTube TikTok Twitch

Social platforms

Read public discussions, profiles, posts, comments, complaints, audience themes and market signals.

Reddit XX / Twitter Instagram fFacebook inLinkedIn Threads Bluesky PPinterest Snapchat TTruth Social

Documents and files

Pull useful numbers, tables and claims from PDFs, long pages, reports and source documents.

PDFs Tables Reports More public sources on request

Built for data tasks inside AI chat

One connection, many sources

Search, maps, websites, videos, social platforms and documents through one MCP layer.

Works in your chat

Ask naturally and get the result inside your LLM client.

Useful without code

No custom rules, scripts or extra dashboards.

Flexible for developers

A tool layer for agents and automated data tasks.

Cost efficient rendering

Use rendered pages when needed, not by default.

Structured output

Data your assistant can summarize, compare and transform.

How it works

After you understand what tasks you want to run, setup is simple and self serve.

1

Create account

Sign up and open your workspace.

2

Add balance

Top up and use the service based on actual tasks.

3

Install MCP

Download the MCP server for your LLM client.

4

Connect client

Use it from any MCP compatible client.

5

Ask for data

Find, extract, compare, summarize or structure public data.

Usage based balance

Create an account, add balance and use it for actual data tasks. No sales call required.

Self serve account Pay as you use Top up when needed
Get started

Questions or setup help?

Contact us through email

Email us