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DataMagnet

Enrich people and company data, live.

Data & Discovery
For AI agents
APICapable readiness
About

What is DataMagnet

DataMagnet pulls real-time people and company data from public profiles and converts LinkedIn URLs into structured JSON payloads, delivered via API, webhooks, or flat files. It's built for GTM engineers, RevOps teams, and founders at mid-market and enterprise companies who need enrichment wired directly into production workflows rather than a UI-first tool. The standout capability is its ability to monitor job changes and company updates as signals, giving revenue teams a trigger layer on top of raw enrichment. It also supports feeding structured datasets into LLMs and enabling RAG pipelines, which extends its use beyond sales into AI product workflows. Where it falls short: there are no native CRM integrations listed — you'll need Zapier, Make.com, or custom API work to push data into HubSpot or Salesforce, which adds setup overhead for less technical teams.

Data & Discovery
Capabilities

Key features

Data enrichment

fills records with firmographic, technographic, or signal data

Data

intent signals, real-time enrichment, firmographic + tech-stack data

Webhooks + no-code automation support

fits any iPaaS or workflow chain

Our verdict

Vanderbuild take

DataMagnet is a production-grade enrichment API that GTM engineers and RevOps teams at scale-ups will find genuinely useful for wiring people and company data into automated workflows — it's not a point-and-click prospecting tool. The REST API is solid and well-documented enough that you can wrap it into your own MCP layer or agentic pipeline without much friction, though MCP-native support hasn't been confirmed, so you're building that bridge yourself. At budget tier 3, this isn't a casual experiment — the Pro plan starts at $599/month, so you'll want a clear enrichment use case and someone technical enough to get full value from the API before committing. The honest gap is native CRM connectivity: without a direct HubSpot or Salesforce push, every enrichment workflow requires middleware, which means more moving parts to maintain.

Mateusz Sekta
Founder, vanderbuild
Learn more

Our Resources

The wedge

Agentic stack profile

API
REST

Programmatic access available.

REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.

API docs →
Agentic readiness
Capable

Solid API access — wraps cleanly for agent use.

Solid REST or SDK access. No MCP server yet, but easy to wrap in custom agent tooling. Most modern SaaS tools land here.

Stack role
Enricher · Data source

Where this tool slots into an agentic pipeline.

Plays the role of Enricher + Data source in an agentic pipeline. Use it to add firmographic, technographic, and signal data to a lead row on the fly; source contacts, companies, and the raw inputs an agent needs to act.

Compare

DataMagnet alternatives

Tools that solve a similar problem — compared at a glance.

DataMagnet(this tool)
Pricing
Workspace-based
Budget
$$$
Best for
GTM Engineer, RevOps
Readiness
Capable
API
REST
Clay
Pricing
Freemium
Budget
$$$
Best for
RevOps, GTM Engineer
Readiness
Native
MCP
Yes
API
REST
ExactBuyer
Pricing
Usage-based
Budget
$$$
Best for
SDR / BDR, Marketing
Readiness
Capable
API
REST
Answers

Frequently asked questions

Does DataMagnet have a public API?

Yes — DataMagnet ships a REST API. Docs: https://docs.datamagnet.co.

How much does DataMagnet cost?

DataMagnet: pricing is workspace-based, expect higher tier ($$$) spend. Full pricing page: https://datamagnet.co/pricing.

Who is DataMagnet best for?

DataMagnet is built for GTM Engineer, RevOps, Founder. Fits Mid-market (50-500), Enterprise-sized teams.

How well does DataMagnet fit an agentic sales stack?

Tier: Capable. Solid public API, no MCP yet — straightforward to wrap in your own agent tooling.