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AI for asset managers on the frontier

Your research process codified with agentic software. Scale your investment judgment across every signal.

Where shall we start, Kevin?

0 of 3
  • “I’ve seen a million demos and what you guys have, I think, is special.”

    Head trader at a long/short fund

  • EPICENTER
  • “Think of it as a 24/7 personal data analytics team for every analyst. The long tail of alternative data that only the best-resourced teams could track before, now available to any investor.”

    Analyst at a long-only fund

  • “You guys have amazing technology and you’re right on the cutting edge of something that’s probably moving as fast as maybe the internet in the 90s. Maybe faster.”

    Managing partner at a family office

  • “This dashboard… it didn’t only just save me a ton of time, but it’s one of those things that I probably couldn’t have.”

    Analyst at a distressed fund

  • EPICENTER
  • “I’ve seen a million demos and what you guys have, I think, is special.”

    Head trader at a long/short fund

  • EPICENTER
  • “Think of it as a 24/7 personal data analytics team for every analyst. The long tail of alternative data that only the best-resourced teams could track before, now available to any investor.”

    Analyst at a long-only fund

  • “You guys have amazing technology and you’re right on the cutting edge of something that’s probably moving as fast as maybe the internet in the 90s. Maybe faster.”

    Managing partner at a family office

  • “This dashboard… it didn’t only just save me a ton of time, but it’s one of those things that I probably couldn’t have.”

    Analyst at a distressed fund

  • EPICENTER

Build

Proprietary questions over data without a data team

A coding agent hands you a script. Village agents turn any source into a data pipeline on building blocks that are reliable and transparent by design, so the engineering is never your worry.

Scrape anything from any point in time

$389.00
$412.50 price

Keep data flowing when sources shift

Successful run Jun 13, 4:00 AM
Site layout changed Jun 14, 4:00 AM
Updated layout parsing Jun 14, 4:04 AM
Successful run Jun 14, 4:06 AM

Connect to essential datasets and services

V

Bring Village into Claude and ChatGPT with MCP

Context

Where you look for signal is your edge

Every investor watches a different set of sources. Village learns yours, and the questions you ask of them, and turns that perspective into infrastructure.

Electrification will outrun the grid. Are transformer makers adding capacity or only raising prices?

Hiring

Glassdoor job posts
Indeed listings
TSMC careers page

Import records

+18% units ImportYeti manifests
4 new shippers Panjiva shipments
Mexico leads Census trade API

Reported financials

Backlog +31% SEC EDGAR filings
Price, not volume Earnings calls

Satellite imagery

Earth Search
Planetary Computer

Permits & utilities

2 expansions Maricopa permits
1 rate case Arizona utility filings

Web footprint

25M-site crawl
Package downloads
GitHub activity

Analyze

Understand every signal and predict what’s next

Create dashboards with agents trained to analyze data rigorously and show you what matters. Backtest ideas and get alerted when your thesis breaks.

Coinbase trading volume and transaction revenue

Coinbase’s Exchange API publishes daily prices and amounts traded for BTC, ETH, LTC, and BCH, which we convert into quarterly estimated trading volume.

Estimated trading volume
Reported transaction revenue
Q3 ’26
Coinbase quarterly estimated trading volume and reported transaction revenueA dual-axis line chart shows the raw quarterly values for estimated dollar trading volume across Coinbase BTC, ETH, LTC, and BCH markets and Coinbase reported transaction revenue, from 2021Q1 through 2026Q2. Estimated trading volume is base volume multiplied by mean daily open, high, low, and close price. Dashed lines end at red points showing projected 2026Q3 trading volume and the revenue prediction from the year-over-year growth model using activity through Aug 2.010020001,0002,000Estimated trading volume ($B)Reported transaction revenue ($M)Q1 ’21Q1 ’22Q1 ’23Q1 ’24Q1 ’25Q1 ’26Q3 ’26Q3 ’26 prediction: $48.0B estimated trading volumeQ3 ’26 prediction: $359M transaction revenue

Coinbase revenue growth model and Q3 ’26 prediction

Linear regression of reported transaction revenue YoY change on estimated trading volume YoY change, fit on Q1 2022–Q2 2025 and tested on Q3 2025–Q2 2026. Because trading volume is available at quarter end, the model can estimate revenue 30–44 days before Coinbase reports earnings.

Train
Test
Q3 ’26
Coinbase year-over-year revenue growth model trained through 2025Q2, tested from 2025Q3 through 2026Q2, with a 2026Q3 predictionGray squares are the 14 quarters used to fit a relationship between year-over-year changes in estimated trading volume and reported transaction revenue. The model was frozen after 2025Q2. Blue squares are the 4 held-out results, and each vertical connector runs from the fixed model to reported revenue growth. The red 2026Q3 point uses activity through Aug 2.-50%0%+100%+200%-50%0%+50%+100%Trading volume YoY changeTransaction revenue YoY changeQ1 ’22 training data: -32.3% estimated trading volume and -34.2% reported transaction revenueQ2 ’22 training data: -49.1% estimated trading volume and -66.1% reported transaction revenueQ3 ’22 training data: -12.3% estimated trading volume and -66.4% reported transaction revenueQ4 ’22 training data: -39.6% estimated trading volume and -85.9% reported transaction revenueQ1 ’23 training data: -35.5% estimated trading volume and -63.0% reported transaction revenueQ2 ’23 training data: -48.6% estimated trading volume and -50.1% reported transaction revenueQ3 ’23 training data: -58.9% estimated trading volume and -21.1% reported transaction revenueQ4 ’23 training data: -31.0% estimated trading volume and +64.3% reported transaction revenueQ1 ’24 training data: +70.0% estimated trading volume and +187.4% reported transaction revenueQ2 ’24 training data: +88.9% estimated trading volume and +138.7% reported transaction revenueQ3 ’24 training data: +113.5% estimated trading volume and +98.4% reported transaction revenueQ4 ’24 training data: +134.8% estimated trading volume and +194.0% reported transaction revenueQ1 ’25 training data: +6.3% estimated trading volume and +17.2% reported transaction revenueQ2 ’25 training data: -2.8% estimated trading volume and -2.1% reported transaction revenueQ3 ’26 prediction as of Aug 2: -60.5% estimated trading volume, -65.7% transaction revenue, or $359MQ3 ’26Q3 ’25 held-out test: +73.2% estimated revenue growth, +82.8% reported revenue growth, 9.5 percentage-point errorQ3 ’25Q4 ’25 held-out test: -10.3% estimated revenue growth, -36.8% reported revenue growth, 26.5 percentage-point errorQ4 ’25Q1 ’26 held-out test: -17.0% estimated revenue growth, -40.1% reported revenue growth, 23.1 percentage-point errorQ1 ’26Q2 ’26 held-out test: -12.2% estimated revenue growth, -21.6% reported revenue growth, 9.4 percentage-point errorQ2 ’26

Datasets

Datasets ready on day one

Village collects the raw material other providers summarize away, from every network request a website makes to the full text of every filing, so you can ask proprietary questions over public data.

Explore the data

  • Technographics

    The technology behind 25 million websites, kept as raw evidence.

  • Web archive

    How any page looked on any date, back to the 1990s.

  • SEC EDGAR

    Every SEC filing, in full text.

  • Investor relations materials

    Earnings calls, slide decks, and releases, as text.

Connect your private sources

Add API keys for the data services your firm licenses, or ones you operate, and agents use them in research and monitors. Keys stay on your workspace’s own machine. How connections work

Research

Original research built on Village

Our team studies the live web with the same agents and data our customers use, and publishes the findings along with the method behind them.

All research

Security

Your data stays yours

Independently audited under SOC 2 Type II: a machine of your own, no training on your data, and a product you can evaluate before connecting anything internal.

How Village handles your data

  • Never trained on your data

    Village does not use your data to train or improve any model, its own or a third party’s. Model providers may process it only to fulfil your requests.

  • A machine of your own

    Each workspace runs on its own machine, with its own encrypted volume, on its own private network. Your files, data, and agent runs never share a machine with another customer.

  • Useful before you share anything

    Agents work from public web sources and the datasets Village provides, so your firm can evaluate Village without connecting any internal data.

  • Public and licensed sources

    Village’s web collection follows robots.txt, paces its requests, and stays on public pages. Agents draw on those pages and the data services your firm licenses.

SOC 2 Type II

Independently audited controls, encrypted at rest and in transit. The report and our subprocessor list are on the Trust Center.

Visit the Trust Center

Imagine

Bring us your most ambitious ideas

Our team works with you to design agentic research workflows and create bespoke tools for the questions that matter most.

“If SemiAnalysis is making $100 million from their blog posts, this is definitely a $100 million business.”
Analyst at a long-only fund
Deployed Village Megaprojects data-center tracker