Fieldproxy developer guides

Common tasks, one per page, with working code in curl, Node.js and Python. They are examples, not the limit: anything in a Fieldproxy workspace can be read, changed or automated, and Fieldproxy’s team builds integrations with the other systems you use. Each guide is also plain Markdown at its own .md address for AI tools.

Create a job in Fieldproxy from your own systemHow to create a field service job or work order in Fieldproxy from another system with the REST API, in curl, Node.js and Python.Read the guide
Read jobs, customers and other records from FieldproxyHow to read jobs, customers or any table from a Fieldproxy workspace with the REST API, and when to use read-only SQL instead.Read the guide
Update a job's status in Fieldproxy and trigger automationsHow to change a job's status or any field in Fieldproxy with the REST API, and how status changes fire automations.Read the guide
Send website form leads into FieldproxyHow to send leads or service requests from a website form, Zapier-style tool or another app into Fieldproxy with an inbound webhook.Read the guide
Get a signed webhook when a job is completedHow to make Fieldproxy call your system when a job is completed, with an HMAC-SHA256 signed webhook you can verify.Read the guide
Bulk load customers or any records into FieldproxyHow to load thousands of customers, sites or assets into Fieldproxy in one atomic API call, or from a CSV or Excel file.Read the guide
Get your Fieldproxy data into accounting, BI or a warehouseHow to export or sync Fieldproxy jobs, invoices and customers to your own database, BI tool or accounting system.Read the guide
Run Fieldproxy from Claude, ChatGPT or your own AI agentHow to connect Claude, ChatGPT, Cursor, Claude Code or any MCP client to Fieldproxy and ask questions or make changes safely.Read the guide

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