Every record & field
Pull the full Gusto data model - employees, payroll, time, absences, and recruiting - not just a fixed preset, so your people reports are never missing a field.
Gusto
Gusto
HR & PeopleDataddo extracts the full Gusto data set - employees, payroll, time, absences, recruiting - and delivers it wherever your team needs it: into AI tools and agents, your warehouse like Snowflake and BigQuery, BI dashboards, and back into your finance and ops tools. Blend it with finance and ops data, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.
YOUR PEOPLE SOURCE OF TRUTH
Turn Gusto into people reporting your whole team trusts
People data is only useful when it's complete, clean, and current. Dataddo extracts the full Gusto data model, governs it, and serves it to every warehouse, dashboard, AI tool, and downstream system - continuously and without manual exports.
Blend with finance & ops
Combine Gusto with your finance and operations data so headcount, cost, and workforce analytics live in one place.
Backfill full history
Load historical Gusto data beyond the platform's export limits, so trend, tenure, and attrition analysis holds up.
Model, clean & mask before load
Normalize departments, roles, and currencies, and let the Data Quality Firewall stop bad rows while automatic PII detection masks sensitive employee fields before Gusto data reaches your reports.
Fresh on your schedule
Incremental, scheduled syncs keep Gusto data current - as often as hourly - without manual exports or full reloads.
Governed & monitored
Delivery alerts and quality checks catch gaps in Gusto data early, so people dashboards never silently break.
DATASETS
What you can pull from Gusto
The Gusto connector provides a list of curated datasets - ready-made sets of records, fields, and metrics you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.
List of curated datasets
UUIDuuid
string
Namename
string
Trade Nametrade_name
string
EINein
string
Entity Typeentity_type
string
Contractor Onlycontractor_only
integer
Tiertier
string
Is Suspendedis_suspended
integer
Slugslug
string
Is Partner Managedis_partner_managed
integer
Pay Schedule Typepay_schedule_type
string
Join Datejoin_date
datetime
Funding Typefunding_type
string
Company Statuscompany_status
string
Primary Signatory First Nameprimary_signatory_first_name
sensitivestring
Primary Signatory Middle Initialprimary_signatory_middle_initial
sensitivestring
Primary Signatory Last Nameprimary_signatory_last_name
sensitivestring
Primary Signatory Phoneprimary_signatory_phone
sensitivestring
Primary Signatory Emailprimary_signatory_email
sensitivestring
Primary Signatory Street 1primary_signatory_street_1
sensitivestring
Primary Signatory Street 2primary_signatory_street_2
sensitivestring
Primary Signatory Cityprimary_signatory_city
string
Primary Signatory Stateprimary_signatory_state
string
Primary Signatory Zipprimary_signatory_zip
sensitivestring
Primary Payroll First Nameprimary_payroll_admin_first_name
sensitivestring
Primary Payroll Middle Initialprimary_payroll_admin_middle_initial
sensitivestring
Primary Payroll Last Nameprimary_payroll_admin_last_name
sensitivestring
Primary Payroll Phoneprimary_payroll_admin_phone
sensitivestring
Primary Payroll Emailprimary_payroll_admin_email
sensitivestring
Need a dataset, metric, or attribute you don't see?
Tell us what's missing and we'll add it to the connector.
WITH VS. WITHOUT
Who carries the load when things change
Keep Gusto data flowing to every warehouse, dashboard, and tool - and see who owns it when an API or schema changes:
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs from Gusto keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean Gusto data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your Gusto reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any Gusto data you need, on request |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Gaps caught before dashboards break |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, fewer reporting gaps |
Data residency by design
Choose where Gusto data is processed - same cloud, region, or sovereign
Gusto is a cloud API, so the question isn't on-prem vs cloud - it's which region your data flows through. With Dataddo you run the data plane in the region you choose, so Gusto payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud 
AWS
Microsoft Azure
Google Cloud
|
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises 
Kubernetes
Red Hat OpenShift
VMware Tanzu
|
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
DATA DELIVERY
Every way to deliver Gusto data
People data rarely has one home. Dataddo feeds Gusto into AI and agents, loads it into your warehouse for workforce analytics, syncs records back into finance and ops tools, and delivers files to storage - all governed the same way.
| Transport type | What it does | Typical destinations | Typical business use cases |
|---|---|---|---|
| Data to AI & Agents | Feed Gusto data into vector databases, LLMs, and AI agents so people copilots can reason over your workforce data. | Load Gusto records into vector stores for retrieval-augmented HR assistants, Give AI agents and copilots governed access to live Gusto people data | |
| ETL / ELT to your warehouse | Load Gusto records and metrics into your warehouse for headcount and workforce analytics. | Centralize Gusto alongside finance and ops data in Snowflake, BigQuery, or Redshift, Backfill Gusto history for tenure and attrition analysis | |
| Sync back to finance & ops | Push modeled records built from Gusto data back into finance, payroll, and ops systems. | Sync headcount and cost records from Gusto into finance and planning tools, Keep Gusto people data aligned across systems | |
| Files to storage & partners | Deliver raw or modeled Gusto extracts to object storage and partners. | Archive raw Gusto exports to S3, GCS, or Azure storage, Send scheduled Gusto extracts to partners over SFTP |
Claude
OpenAI
Gemini
Mistral AI
Snowflake
BigQuery
Amazon Redshift
PostgreSQL
Salesforce
HubSpot
Monday
Google Sheets
Google Cloud Storage
Azure Blob Storage
SFTP
Case Studies
See what people and data teams build with Dataddo
65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.
Beauty & Consumer Goods
How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo
Entertainment
How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts
Entertainment
How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo
Healthcare
How Ringside.ai Builds a Data Product Better and Faster Using Dataddo
Marketing
How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product
Advertising
FAQ
Gusto as a source + Dataddo, answered
Where can I send Gusto data?
To any of Dataddo's 150+ destinations - warehouses like Snowflake and BigQuery, BI dashboards, CRMs and marketing tools, object storage, and AI or vector stores - plus custom destinations on request.
Do I have to maintain the pipeline?
No. Dataddo is fully managed: we maintain the Gusto connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.
How is sensitive employee data handled?
Dataddo can mask or hash PII in Gusto data before it lands, and if you run the data plane on-premises, payload data never leaves your network. Combined with SOC 2 Type II and ISO 27001 certification and EU or US residency, that keeps people data compliant end to end.
What if Gusto changes their API?
That's on us, not you. Dataddo's team proactively tracks Gusto API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your Gusto data keeps flowing without you touching a thing.
Which Gusto data and fields are available?
The full Gusto data model - employees, payroll, time, absences, and recruiting - not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.
How is my data secured?
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.
Will API rate limits be a problem?
Dataddo handles Gusto pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within API quotas without impacting your source.
Am I locked in?
No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.