Feature Marketplace · Connectors

Copper Connector

Copper CRM (formerly ProsperWorks), the CRM built for Google Workspace. Syncs people, companies, opportunities, and leads via the Developer API v1 search endpoints.

Connectors connector crm

What syncs

The Copper records STRAX brings into your hub.

Each kind of record is mapped once to your company model in the STRAX hub, then kept current in every system that needs it. Where Copper announces changes, they arrive as they happen.

People

CRM contacts including name, emails, phone numbers, and company association.

Changes arrive as they happen

Companies

CRM companies including email domain, address, and interaction history.

Changes arrive as they happen

Opportunities

Sales opportunities including pipeline stage, monetary value, and win probability.

Changes arrive as they happen

Leads

Unqualified leads including contact details, status, and monetary value.

Changes arrive as they happen

Copper data in your own SQL Server, then wherever it is needed.

STRAX is a self-hosted integration platform. The Copper records land in the STRAX hub, a SQL Server database on your own servers, where your reports, portals and workflows read them. From there the hub delivers them to the other systems you connect, whether those run on SQL Server, MySQL, PostgreSQL or another API. STRAX signs in to Copper with an API key that you provide, stored encrypted.

About this listing

Version1.0.1
AuthorSTRAX
CategoryConnectors
Published2026-07-15

What's inside

Connector profile 1

Free listing

Install it from Feature Marketplace inside STRAX

Open Feature Marketplace

In your STRAX installation, open Feature Marketplace from the navigation.

Find "Copper Connector"

Search or browse to this listing and review the contents disclosure; every package shows what it contains before anything runs.

Install

Choose Install, or "Customise with AI" to adapt the package to your environment first. No licence is needed for free listings.

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See it on your own systems.

A demo takes an hour, on your data landscape rather than ours.