Workiz API

Overview

Workiz is a field service management platform built for locksmiths, appliance repair technicians, junk removal operators, and other on-demand service businesses. It handles job scheduling, customer records, technician dispatch, invoicing, and inbound call tracking from a single interface. Its focus on same-day and emergency service businesses gives it strong adoption among trade verticals that operate on short booking windows and high job volumes, making it a frequent integration target for AI dispatch tools, CRM platforms, and accounting automation products serving these trades.

Workiz does offer a webhook-based API that fires notifications when job events occur, such as a new job being created or a job status changing. In practice, this creates a one-way data pipe. The webhook surface tells your system what happened inside Workiz after the fact, but it does not give your code the ability to create jobs, update dispatch status, manage customer records, or read the scheduling surface. For teams building a two-way sync between Workiz and a CRM, an AI dispatch assistant that needs to push job assignments, or an accounting connector that polls invoice data on a schedule, the webhook API covers none of the required write operations.

Integuru generates a production-ready HTTP API for Workiz using direct HTTP requests against the same endpoints the Workiz web application uses internally. This covers both the read operations the webhook notifications reference and the write operations and scheduling data the API does not expose. The Production plan includes 24/7 on-call maintenance so authentication changes and endpoint updates are resolved before they affect your calls.

Beyond webhooks. Workiz's webhook API and its web application are separate surfaces with different coverage. Integuru works at the web application layer, using the same authenticated HTTP requests the browser sends when a dispatcher creates a job or a technician marks a visit complete. Write operations, dispatch scheduling, and the full customer record lifecycle are as accessible through Integuru as any read endpoint. The webhook-only limitation does not apply.

Why Teams Need This Integration

The gap between the webhook API and the full Workiz platform creates specific blockers for teams building on Workiz data.

CRM platforms syncing customer and job data. list_customers and get_customer_detail give CRM platforms a live view of every Workiz customer with contact details, service address, and linked job history. create_customer closes the inbound loop, letting a CRM push new service leads directly into Workiz without a human touching the interface. These write operations are unavailable through the webhook surface, which fires events but does not accept commands, meaning CRM connectors that need bidirectional sync have no official channel to reach them.

Accounting and invoicing automation products. list_invoices and get_invoice_detail are the core actions for accounting sync pipelines connecting Workiz to QuickBooks, Xero, or a custom ERP. Workiz generates invoices for every completed job, and teams that reconcile this data on a regular schedule need to poll the invoice list programmatically rather than wait for a webhook event to fire. The webhook model cannot drive a scheduled sync; Integuru's direct HTTP layer handles the same polling pattern reliably.

AI-powered dispatch and scheduling tools. get_schedule, create_job, and update_job_status cover the dispatch loop that AI schedulers need for locksmith and appliance repair operations. An AI tool that routes inbound service calls, optimizes technician routes based on location and job type, or pushes status updates from field notes needs write access to the Workiz job layer. The webhook API delivers events after the fact; it cannot push commands back. Integuru makes this bidirectional workflow available from the first call.

Field service analytics and reporting platforms. list_jobs and get_job_detail feed the job-level data that analytics platforms need: average response time for emergency locksmith calls, revenue per job type, technician utilization across junk removal routes, and completion rates by service area. Pulling this data across a high-volume job base on a regular schedule requires polling, not event subscription.

Technician-facing mobile tools and workforce platforms. get_schedule returns the technician dispatch schedule with time windows and job assignments. Platforms that synchronize Workiz scheduling data with payroll systems, timesheet tools, or route-optimization engines need this data on a regular cadence. Reading the live schedule requires a direct query to the Workiz scheduling layer, not a webhook feed that only fires when events change.

Workiz Workflows This Integration Covers

The ten planned actions cover the core operational loop of a field service business running on Workiz:

• Job management: list_jobs and get_job_detail surface the active and historical job roster with customer contact, technician assignment, and invoice linkage. These anchor every downstream CRM, analytics, and dispatch workflow.
• Job lifecycle operations: create_job and update_job_status cover the full dispatch cycle from booking through completion, giving AI schedulers and automation tools write access to the Workiz job layer the webhook API does not expose.
• Customer management: list_customers, get_customer_detail, and create_customer handle the full customer record lifecycle for CRM sync, lead intake, and service history retrieval.
• Invoicing: list_invoices and get_invoice_detail provide structured invoice data with line items and payment status for accounting sync without relying on event-driven webhooks.
• Dispatch scheduling: get_schedule returns the technician dispatch schedule with time windows and job assignments for AI routing tools and workforce planning platforms.

Adjacent Integrations

Integuru already operates in the field services vertical with live production integrations across scheduling, customer management, and dispatch workflows. Teams building cross-platform connectors that need to sync job and customer data across multiple field service tools will find the same HTTP-layer approach applies directly to other platforms in this segment.