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Connector

Hilti ON!Track + Datagrid Integration

Hilti ON!Track + Datagrid Integration

Connect Hilti ON!Track with Datagrid to automate asset tracking workflows and generate job costing reports with AI agents.

Set up the Hilti ON!Track integration
ProductIntegrationsHilti ON!Track + Datagrid Integration

On this page

OverviewHow to integrate Hilti ON!Track with DatagridWhy use Hilti ON!Track with DatagridWhat you can build with Hilti ON!Track and DatagridResources and documentationFrequently asked questionsSimilar integrations

Overview

What is Hilti ON!Track?

Hilti ON!Track is an asset management platform for the built world. It combines web and mobile software with IoT hardware to track tools, equipment, and consumables across warehouses and jobsites. Its Unite API layer exposes asset, location, worker, transfer, and related records for external integration.

Datagrid connects to ON!Track's Unite API to ingest asset, location, worker, quantity item, transfer, and geolocation data. Datagrid's AI agents process and cross-reference that data against project schedules, cost codes, and compliance requirements. Connected systems like project management systems, ERP systems, or scheduling tools add context. Use cases include automated job costing, utilization analysis, and maintenance compliance tracking without manual data transfers.

Key data flows include bidirectional sync of assets, locations, workers, and quantity items. Transfer records and geolocation data export as read-only. Datagrid can write back locations and worker records in ON!Track, depending on connector configuration and source-system design. This keeps master data consistent across the built world tech stack.


How to integrate Hilti ON!Track with Datagrid

The Hilti ON!Track integration gives Datagrid access to your asset management data through supported read and write API operations. That includes assets, locations, workers, quantity items, transfers, and geolocation records. Once connected, Datagrid's AI agents ingest this data, blend it with other sources, and execute workflows like cost allocation, utilization reporting, and maintenance scheduling.

Confirm plan and gather credentials

  1. Confirm your ON!Track subscription is on the Pro or Enterprise tier. The base Ready tier does not include API access (plan reference).

  2. In the ON!Track web app, go to Company Settings > ON!Track Unite (API). Locate your API credentials there.

  3. If no technical user exists for your tenant, contact Hilti support to create one.

  4. Copy your Client ID, Client Secret, and your user Password.

  5. In Datagrid, go to Settings > Connectors > Add New.

  6. Select Hilti ON!Track from the integration catalog.

  7. Enter your Client ID, Client Secret, and Password in the authentication fields.

  8. Select the data objects you want to sync and confirm the connection.

Authenticate Datagrid

ON!Track uses OAuth 2.0 authentication. Access tokens come from a POST request with grant_type: password. Include your Client ID, Client Secret, and per-user Password. Each API call requires a valid access token. Generating a new password in the ON!Track UI immediately invalidates the previous one. Full authentication details are in the ON!Track Unite authorization guide.

Important: ON!Track currently issues only one set of API credentials per tenant. This supports connection with one external application at a time. Do not share credentials across multiple ON!Track tenants. Doing so causes incorrect data synchronization (developer FAQ).

Configure data sync

Datagrid syncs supported ON!Track objects based on the available API operations below.

  • Assets — Bidirectional, Create, Read, Update, Delete

  • Locations — Bidirectional, Create, Read, Update (no delete via API; archive only)

  • Workers — Bidirectional, Create, Read, Update

  • Quantity items — Bidirectional, Create, Read, Update, Delete (includes restock, stock overwrite, consumption)

  • Transfers — One-way (ON!Track → Datagrid), Read only

  • Geolocation — One-way (ON!Track → Datagrid), Read only

ON!Track does not support webhooks. All data sync is polling-based. In documented implementations, polling can be configured as frequently as approximately every 5 minutes. The API uses offset-based pagination with a default limit of 50 records per request. Delta queries are supported on quantity items and locations using startDate, endDate, and daysSinceLastModified filters (API basics).

Datagrid turns this synced data into asset workflows across your broader system stack.


Why use Hilti ON!Track with Datagrid

Connecting Hilti ON!Track to Datagrid gives project teams a way to execute asset workflows without manual exports, spreadsheet tracking, or duplicate master-data updates.

  • Automated job costing from transfer data: Datagrid's AI agents ingest ON!Track transfer records, including timestamps, origin, destination, and asset ID. They calculate per-project equipment costs against your billing rates automatically.

  • Bidirectional master data sync: Workers, locations, and assets stay consistent across ON!Track and connected project management systems. This reduces duplicate data entry (Unite benefits).

  • Utilization analysis across jobsites: Datagrid's AI agents analyze transfer history and current location data. They flag idle equipment, over-allocated jobsites, and underused assets, with alerts routed to project managers.

  • Cross-system maintenance compliance: Datagrid's AI agents cross-reference ON!Track service schedules against active project timelines. Conflicts can be flagged before a tool with an upcoming service date ships to a jobsite.

  • Reporting on blended data: Combine ON!Track asset data with cost codes from your ERP, schedules from project management systems, and workforce data from HR systems. Unified dashboards generate without manual exports.

  • Consumables monitoring: Datagrid's AI agents track ON!Track quantity item stock levels. They trigger reorder workflows or reallocation recommendations when supplies run low at a jobsite.


What you can build with Hilti ON!Track and Datagrid

These workflows show how project teams can put ON!Track asset data to work across cost, scheduling, service, and closeout processes.

  • Automated equipment cost allocation to project budgets: Datagrid's AI agents pull ON!Track transfer records. These show when each asset arrived at and departed from a jobsite. Agents calculate time-on-site per asset and apply equipment rates from your ERP. Itemized cost allocations can push directly into project budgets in accounting systems or other accounting systems. This eliminates manual timekeeping for tool usage.

  • Cross-project asset reallocation recommendations: When a project phase completes, Datagrid's AI agents compare ON!Track's current asset locations and transfer history against upcoming schedule milestones. Schedule data comes from project scheduling tools or enterprise scheduling tools. Agents identify tools becoming available and match them to equipment needs at other jobsites. They generate reallocation plans that specify which tools to move, from where, to which site, and by when.

  • Service conflict detection and work order drafting: Datagrid's AI agents read ON!Track maintenance schedules and service history. They cross-reference against active project deployment windows. When a tool's next calibration falls during an active jobsite assignment, the AI flags the conflict. It drafts a service work order and notifies the responsible worker and project manager.

  • Automated compliance documentation from asset records: Datagrid's AI agents pull ON!Track transfer records, service logs, and cost data at configurable intervals. Agents compile formatted compliance documentation for calibrated tools and generate project closeout asset summaries. These route through approval workflows before delivering to your project files, CRM, or accounting software.


Resources and documentation

Use these sources to configure the integration and review ON!Track API constraints in more detail.

  • Datagrid Hilti ON!Track connector page: integration setup details, supported APIs, and configuration reference

  • ON!Track Unite developer hub: getting started guide for the ON!Track API

  • ON!Track Unite API basics: REST architecture, versioning, pagination, and HTTP methods

  • ON!Track Unite authorization: OAuth 2.0 credential setup and token management

  • Data object tutorials: field-level guides for workers, locations, assets, and quantity items

  • API field mapping: maps API fields to ON!Track UI fields

  • Developer FAQ: credentials lifecycle, deprecation policy, and known constraints

  • Integration marketplace: pre-built integrations and partner connectors

  • ON!Track product page: product overview, hardware ecosystem, and feature descriptions


Your project teams already track every tool in ON!Track. Datagrid's AI agents put that data to work by generating cost reports, flagging service conflicts, and keeping master data in sync across systems. Operators spend time on jobsites, not spreadsheets. Book a demo to see the integration running on your data.


Frequently asked questions

What ON!Track subscription tier is required for the Datagrid integration?

The ON!Track Unite API requires a Pro or Enterprise tier subscription. Confirm your plan before configuring the Datagrid integration.

Can I connect other tools to ON!Track at the same time as Datagrid?

ON!Track currently issues only one set of API credentials per tenant. If Datagrid is your connected system, a separate ERP or BI tool cannot use a different credential set on the same tenant.

Does ON!Track support real-time data sync via webhooks?

No. ON!Track does not support webhooks. All integrations use polling-based synchronization. In documented implementations, sync can be configured up to once every 5 minutes.

What data operations cannot be performed through the API?

Several operations require the ON!Track UI and cannot be automated via the API. These include service assignment to assets, worker certificate and attachment management, admin role enable and disable, and asset template data modification. Location deletion is also UI-only. The API supports archiving only, and only when no assets are assigned.

What happens if the external system sends null values for fields that have data in ON!Track?

This is a critical implementation detail. The ON!Track Unite API follows a master/slave data model. If the external system is the master, null values can overwrite populated ON!Track fields. This happens unless the integration implements field-level comparison logic. The integration is responsible for preventing null fields from overwriting existing data. Review the ON!Track Unite integration guides for data flow architecture requirements.


Similar integrations

These integrations often sit alongside Hilti ON!Track in a built world workflow.

  • Project management system: Built world project management platform that pairs with ON!Track. Syncs jobsite locations, daily logs, and asset transfer records across projects.

  • Built world platform: Design and field management platform used alongside ON!Track. Connects BIM models and project documents with equipment deployment data.

  • ERP and accounting system: ERP and accounting system that receives ON!Track transfer data. Automates equipment cost allocation and project-level invoicing.

  • Enterprise scheduling tool: Enterprise project scheduling tool that complements ON!Track. Aligns equipment availability with project phase timelines.

  • Project scheduling platform: Project scheduling platform that connects with ON!Track asset data. Cross-references maintenance windows against deployment schedules.

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