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Company intelligence for the AI era

Explore tech stacks, partner ecosystems, jobs data, and more for millions of companies. Then feed it to the people, systems, and agents that help your company grow.

Start for free See how it works
Tracing the digital footprint of every company
Trace
Northwind Robotics
Tech Stack
36
Stripe
AWS
Next.js
HubSpot
Cloudflare
Google Analytics
Segment
Datadog
Snowflake
Mixpanel
Slack
Notion
GitHub
Linear
Partners & Integrations
50
Snowplow
+ Add
Sequin
+ Add
Prefinery
+ Add
Tribe
+ Add
Plentific
+ Add
RunMags
+ Add
Linear
+ Add
Jira
+ Add
Figma
+ Add
Airtable
+ Add
Zapier
+ Add
Vercel
+ Add
Auth0
+ Add
Twilio
+ Add
Investors
4
General Catalystgeneralcatalyst.com
Sequoia Capitalsequoiacap.com
Andreessen Horowitza16z.com
Accelaccel.com
Open Positions
4
Sr. Salesforce AdministratorRemote
Operationsvia workday
MarTech Engineer (HubSpot)NYC
Marketingvia workday
Snowflake Analytics LeadSF
Datavia workday
Partner Engineer, EcosystemRemote
Partnershipsvia workday
Recent Changes
22
Google Workspace · Google First detected Mar 5, 2026 · last detected Apr 30, 2026
Marketing & Sales
Datadog RUM First detected Mar 12, 2026 · last detected Apr 30, 2026
Infrastructure
Atlassian Access · Atlassian Last detected Mar 18, 2026
Security
Stripe Last detected Apr 30, 2026
Payment processors
Contentful Last detected Mar 18, 2026
Website
LiveRamp · LiveRamp PCM Last detected Mar 17, 2026
Analytics
Stripe Stripe · Commerce & Payments
ACTIVE
First detectedDec 10, 2025
Last detectedApr 30, 2026
Payment processors
29 signals 141 days tracked

The full picture, not just the tech stack

Most data providers stop at vendor lists. Trace maps technologies, the partnerships connecting them, and the hiring signals that hint at what's coming next — all from observable evidence, not shady data brokers.

What they run

Full stacks — CRM, MarTech, analytics, cloud, dev tools, and infra — detected from live signals.

Who they partner with

Integration directories, marketplaces, and co-marketing pages, pulled together into one partnership graph you can actually query.

Who they're hiring

Job postings reveal where budget is committed and which platforms are about to come online.

How fast it changes

Demand-driven refresh keeps the data accurate the moment a stack shifts — not weeks later.

See it in product

From a single company to a queryable graph

Start with anything

A company, a technology, or a vendor. Trace already tracks the market — no setup, no lists to upload.

Trace builds the graph

Tech, integrations, and hiring signals become connected data.

Query it or automate it

Explore it, save a living list, or pull it via the API and MCP.

Company technographics at unprecedented price and quality

Trace is an AI native platform built from the ground up with the benefit of agentic tooling, auditing, data accuracy, and discovery. Every minute of every day, Trace's data gets bigger, stronger, and more precise.

For Sales & RevOps

Sales Intelligence

Give every rep context before every call. When your AE opens an account, they already know what CRM the prospect runs, which vendors they pay, and whether they just switched off a competitor — and RevOps can prioritize outbound by technology fit and ecosystem alignment.

  • Pre-call research in seconds, not hours
  • Prioritize outbound by technology fit and ecosystem alignment
  • Identify prospects running competing products
  • Spot companies with no tooling in a category you sell into
For Marketers

ABM & Demand Gen

Build target account lists based on what companies actually run right now, not on stale, out-of-date data. Then time campaigns to technology adoption moments — when a prospect adds a complementary tool or drops a competitor, they're actively evaluating.

  • Build ICP-matched target account lists by tech stack and ecosystem fit
  • Trigger campaigns when prospects adopt complementary technologies
  • Run displacement campaigns against competitor products
  • Target companies with active integration ecosystems in your category
For Partnership Teams

Partner Ecosystem Intelligence

Partnership teams have always been stuck doing manual research — scanning integration directories, reading announcements, tracking who works with whom. Trace structures all of it into queryable data so you can map ecosystems and find co-sell targets at market scale.

  • Map partner ecosystems at market scale
  • Identify co-sell opportunities through shared integration partners
  • Benchmark your integration ecosystem against competitors
For Strategy Teams

Competitive Research

Track which technologies are gaining or losing market share across your industry, based on what companies are actually running right now — not analyst projections. Benchmark customer stacks against your ICP and spot emerging tools before they hit the reports.

  • Track technology adoption and partner ecosystem trends
  • Benchmark tech stack and partnership patterns within your ICP
  • Identify emerging technologies and ecosystem shifts
For Analysts & Investors

Market Intelligence

Hedge funds can measure a SaaS company's growth by watching where its technology footprint appears and how its partner ecosystem expands. VC firms can validate traction claims against observable adoption data — verifiable, not self-reported.

  • Validate vendor traction claims with observable data
  • Track industry-level technology and ecosystem trends
  • Measure partnership network growth as a leading indicator
  • Benchmark portfolio companies across tech stack and ecosystem dimensions

Built to do the digging

Skip the manual research. Trace compares, hunts, and watches in the background. The intelligence does the work, the data stays current, you stay in the loop.

Qualify accounts in seconds

Drop in up to five companies and Overlaps shows where their stacks align and where they diverge — so you can map look-alikes, expose competitive gaps, and decide which accounts are worth a rep's time without the manual digging.

Ask anything about any company

Skip the filters. Just ask. Trace answers questions about tech stacks, partnerships, and hiring in plain language — and hands back a CRM-ready account list with the evidence attached, not just rows.

Let your next account find you

Save any query as a living list and Saved Lists keeps it current for you. The moment a company adopts your stack or signs a new partner, it joins the list and the right rep gets pinged.

Start for free

Built for agents.
Great for humans, too.

Trace doesn't just expose company data — it returns structured signals your agent can reason over. Plug into Claude, Cursor, or any MCP client. OAuth 2.1, no scraping, no glue code.

MCP endpoint
https://api.tracedata.ai/mcp-server/
OAuth 2.1 · Compatible with any MCP client
trace.companies.get REST 
$ curl https://api.tracedata.ai/v1/companies/stripe.com \
   -H "Authorization: Bearer $TRACE_KEY"

{
  "domain": "stripe.com",
  "technologies": ["React", "Next.js", "Ruby", "Go"],
  "vendors": [{ "name": "AWS" }],
  "partners": 340,
  "signals": [{ "type": "new_partner" }]
}
trace.ecosystem.get MCP 
// Agent receives a question
user: "Who does stripe.com partner with?"

// Agent invokes Trace MCP tool
→ tool: "trace.ecosystem.get"
  domain: "stripe.com"

// Trace returns structured signal
{
  "partner_count": 340,
  "top": ["NetSuite", "Xero", "Salesforce"],
  "recent": { "name": "Ramp", "days_ago": 31 }
}
Read the docs → Get an API key →

Before you ask

From observable signals — live technology detection, integration directories and marketplaces, co-marketing pages, and public job postings. Trace never relies on shady data brokers or hacked-together vendor lists, so what you see reflects live and validated information.

Trace uses a demand-driven refresh: it re-checks a company the moment something looks like it's changing, rather than on a fixed monthly or quarterly cycle. In practice, shifts in a stack show up in days, not weeks.

Trace already covers over a million companies, and is able to identify technologies from over 20,000 distinct vendors. These numbers are growing every day.

No. The app handles search, Overlaps, Trace Agent, and Saved Lists with no setup. When you're ready to automate, the same data is available through the REST API and MCP — but that's entirely optional.

Trace exposes structured signals over the Model Context Protocol, so an AI agent can query the graph and reason over the results — not just scrape rows. Connect Claude, Cursor, or any MCP client with OAuth 2.1; no scraping and no glue code.

Yes. Create an account and start searching right away — no credit card required. You can explore stacks, ecosystems, jobs, and even save lists. Only pay to export data or access advanced features.

The whole market, mapped.

Updating every second of every day.

Start for free