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Live Data Technologies

Spot workforce shifts before they move

APICapable readiness
About

What is Live Data Technologies

Live Data Technologies pulls employment data from the open web to track job changes, arrivals, departures, and tenure shifts across 160 million professionals in near-real-time. It's built for RevOps teams, GTM engineers, and founders at growth-stage SMBs and mid-market companies who need fresh people and company data without waiting on stale CRM records. The standout capability is continuous profile validation — the platform detects job changes as they happen and can push updated records via API, S3, Snowflake, Slack, or Airtable, keeping enrichment pipelines current. Company benchmarking lets you compare up to 10 companies head-to-head on hiring velocity, churn, and tenure. The honest limitation: coverage is US-focused and the self-serve tiers cap company tracking at 15, so teams with large international account lists or high-volume tracking needs will hit the ceiling quickly.

Capabilities

Key features

Data enrichment

fills records with firmographic, technographic, or signal data

Data

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

Our verdict

Vanderbuild take

For RevOps teams and GTM engineers who treat job-change signals as a trigger layer — a new VP of Sales lands at a target account, a champion moves to a new company — Live Data Technologies is one of the more direct ways to get that data into a pipeline without building a scraper yourself. The REST API is available and documented, so you can wrap it into your own MCP layer or agentic workflow cleanly; MCP-native status is unconfirmed, but the delivery options (API, Snowflake, S3) make it agent-callable without much friction. At $99–$199/month for self-serve, it's affordable for small teams to test, though you'll likely need the Enterprise tier once your tracked company list grows beyond 15. The main limitation to flag: the Streams tier delivers job change data weekly via CSV, not in true real-time, so if your use case demands sub-hour latency, you'll need to negotiate a custom data feed at the Enterprise level.

Mateusz Sekta
Founder, vanderbuild
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 · Signal source

Where this tool slots into an agentic pipeline.

Plays the role of Enricher + Signal source in an agentic pipeline. Use it to add firmographic, technographic, and signal data to a lead row on the fly; surface buying intent — funding, hiring, job changes, web visits.

Compare

Live Data Technologies alternatives

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

Live Data Technologies(this tool)
Pricing
Usage-based
Budget
$$
Best for
RevOps, GTM Engineer
Readiness
Capable
API
REST
Clay
Pricing
Freemium
Budget
$$$
Best for
RevOps, GTM Engineer
Readiness
Native
MCP
Yes
API
REST
Datagma
Pricing
Freemium
Budget
$$
Best for
SDR / BDR, RevOps
Readiness
Capable
API
REST
Answers

Frequently asked questions

Does Live Data Technologies have a public API?

Yes — Live Data Technologies ships a REST API. Docs: https://www.livedatatechnologies.com/api.

How much does Live Data Technologies cost?

Live Data Technologies: pricing is usage-based, expect mid tier ($$) spend. Full pricing page: https://www.livedatatechnologies.com/pricing.

Who is Live Data Technologies best for?

Live Data Technologies is built for RevOps, GTM Engineer, Founder. Fits SMB (1-50), Mid-market (50-500)-sized teams.

How well does Live Data Technologies fit an agentic sales stack?

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

Quick spec
ReadinessCapable
Stack roleEnricher, Signal source
Pricing
Usage-based
$$
Vendor pricing →
Ideal customer
Growth stage
Growth-stage · Scale-up
Company size
SMB (1-50) · Mid-market (50-500)
Best for
RevOps · GTM Engineer · Founder