Technographic Intelligence

Company data for
the AI era.

Technographics, vendor relationships, partner ecosystems, and buying signals. Built natively for AI agents and modern GTM teams. Know what technologies companies use, who they partner with, when they switch, and what that means for your pipeline.

Start Free See How It Works →

trace — MCP query

$ mcp trace.lookup "What does stripe.com run?"

Technologies detected:

React, Next.js, Ruby, Go, AWS, Cloudflare

Vendors:

AWS (subprocessor), Cloudflare (DNS), Twilio (subprocessor)

Partner ecosystem:

340+ integration partners

Top: NetSuite, Xero, QuickBooks, Salesforce, HubSpot

Recent signals:

+ Added Vercel integration (2 weeks ago)

+ New partner: Ramp (1 month ago)

Legacy data wasn't built for this.

Traditional data providers were designed for humans downloading CSVs on a quarterly refresh cycle. Your AI agents, your ABM campaigns, and your outbound sequences need something fundamentally different: data that's structured for machines, refreshed by demand, and accurate enough to act on without a human checking it first.

What Trace Sees

Four dimensions of company intelligence.

Not just tech stacks. Trace maps the full picture: technologies, vendors, partnerships, and the changes between them.

Technology Detection

What software and infrastructure a company runs. CRM, marketing automation, analytics, cloud providers, dev tools, and more.

Vendor Relationships

Which vendors a company actually pays. Subprocessor disclosures, integration footprints, and procurement signals reveal the real vendor map.

Buying Signals

When a company adopts a new technology, switches vendors, or adds a new integration partner. Change signals are intent data. They tell you when a prospect is actively making buying decisions.

New Dimension

Partner Ecosystems

Who a company partners with, integrates with, and co-sells alongside. Integration directories, co-marketing signals, and technology alliances — structured and queryable at a scale nobody else maps.

Flagship Differentiator

Partner ecosystem intelligence at a
scale nobody else maps.

Every company has a partner ecosystem, but that data has always been locked inside partnership directories, integration marketplaces, and co-marketing pages that nobody aggregates. Trace does.

Partner ecosystem mapping — structured view of integration partnerships

For Partnership Teams

Market intelligence that didn't exist before in a structured, queryable format. Map who partners with whom across the entire market.

For Sales & Marketing

Partner ecosystem data adds a dimension of targeting that tech stack data alone can't provide. Find prospects that already integrate with your technology partners.

Who Uses Trace

For every team that runs on data.

The same dataset powers different workflows. Pick your entry point.

ABM & Demand Gen

Build audiences from technographic signals. Target companies running the right stack or working with the right vendor ecosystem. Trigger campaigns when prospects make buying moves — not after the deal is already closing.

Sales Intelligence & RevOps

Enrich your CRM with demand-refreshed tech stack data. Score territories by vendor adoption. Get signal when accounts in your pipeline switch vendors, add integrations, or expand their tech footprint.

AI Agents & Developers

Query via REST API or MCP from your codebase or directly from your AI agents. Structured company intelligence on demand. Schema-stable responses built for automated workflows and agentic pipelines.

What Makes Trace Different

Built from scratch for how
data is consumed now.

Not a legacy platform with an API bolted on. Trace was architected for AI agents and programmatic access from day one.

AI-Native

Self-Improving Intelligence

Trace uses a self-improving ecosystem of AI agents to monitor data signals, detect patterns, validate data, and supply technographic data at an unprecedented level of scope and quality.

Day One

MCP-Native

Model Context Protocol support built in from launch. Your AI agents query Trace directly. No middleware, no translation layers.

No PII

Companies, Not Contacts

Trace maps company-level data only. No personal data, no contact records, no compliance exposure.

Smart Refresh

Demand-Driven Freshness

Companies being looked up most get refreshed most. Your active pipeline stays current. The long tail doesn't eat your refresh budget.

Consume It Your Way

API. MCP. UI. CRM.

Query Trace from your codebase, your AI agents, a browser, or directly inside your CRM. Four delivery mechanisms, one dataset, zero friction.

          # REST API — full company profile

          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", "source": "subprocessor"}],

            "partners": 340,

            "signals": [{"type": "new_partner", "name": "Ramp"}]

          }

          # MCP — your AI agent queries directly

          User: "Who does stripe.com partner with?"

          Agent → mcp trace.ecosystem

            domain: "stripe.com"

          Trace → Agent:

            340+ integration partners

            Top: NetSuite, Xero, QuickBooks, Salesforce

            Recent: Ramp partnership (1 month ago)

Explore All Access Methods →

Company data forthe AI era.