FieldPulse API

Overview

FieldPulse is an all-in-one field service management platform built for small HVAC, plumbing, electrical, and general contracting businesses. It handles job scheduling, customer records, team management, invoicing, estimates, and customer communication from a single interface. Its positioning as a complete business-management tool for independent contractors and small crews gives it strong adoption among owner-operated service businesses, making it a frequent integration target for accounting automation tools, CRM platforms, and AI-powered scheduling products targeting the small field service market.

FieldPulse does offer a REST API covering read access to contact and job records. In practice, two gaps push teams toward Integuru. Write operations, creating jobs, updating job status, and managing customer records, are not available through the REST API, which blocks any two-way sync or AI-powered automation workflow. And the scheduling and dispatch surfaces that field service tech platforms depend on, reading today's technician schedule, pushing a new job into an open time slot, are absent from the API surface and accessible only through the FieldPulse web application.

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

Beyond read-only. FieldPulse's REST 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 contractor creates a job or marks a visit complete. Write operations, scheduling data, and the estimate workflow are as accessible through Integuru as any read endpoint. The REST API's read-only limitation does not apply.

Why Teams Need This Integration

The gap between the REST API coverage and the full FieldPulse platform creates specific blockers for teams building on FieldPulse data.

CRM platforms syncing customer and job data. list_customers and get_customer_detail give CRM platforms a live view of every FieldPulse customer with contact details, service address, and property information. create_customer closes the inbound loop, letting a CRM push new leads directly into FieldPulse as customer records without a human intermediary. The read side works through the official API today, but create_customer is a write operation absent from the API surface, meaning CRM connectors that need bidirectional sync have no official channel to reach it.

Accounting and invoicing automation products. list_invoices and get_invoice_detail are the core actions for accounting sync pipelines connecting FieldPulse to QuickBooks, Xero, or a custom ERP. The REST API does not expose invoice data as a documented endpoint, which means teams building accounting connectors cannot access the invoicing surface that FieldPulse generates for every completed job through any official programmatic path.

AI-powered scheduling and dispatch tools. get_schedule, create_job, and update_job_status cover the dispatch loop that AI schedulers need for small contractor operations. An AI tool that routes inbound HVAC calls, inserts a new plumbing job into an available technician slot, or updates job status from field notes needs write access to the FieldPulse job layer. The REST API's read-only coverage makes this workflow inaccessible through the official channel. Integuru makes bidirectional dispatch automation 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 job duration by trade type, revenue per technician, and completion rates across service categories. The REST API supports basic job reads, but production pipelines that need to pull this data across the full job history on a scheduled basis require a request throughput and coverage depth that the REST API does not document or support.

Technician-facing mobile tools and workforce platforms. get_schedule returns the full team schedule with job assignments and time windows. Platforms that synchronize FieldPulse scheduling data with payroll systems, timesheet tools, or route-planning engines need this data on a regular cadence and in a structured format the REST API does not expose. Reading the live dispatch schedule requires direct access to the FieldPulse scheduling layer.

FieldPulse Workflows This Integration Covers

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

• Job management: list_jobs and get_job_detail surface the active and historical job roster with customer contact, team member 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 job cycle from creation through completion, giving AI schedulers and CRM tools write access to the FieldPulse job layer the REST 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 pipelines.
• Dispatch scheduling: get_schedule returns the team 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 job scheduling, customer management, invoicing, 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, including those where official APIs stop short of write operations.