Best Unified API for HRIS Integrations in 2026
June 10, 2026
Unified.to is the unified HRIS API that stores no employee records at rest: names, compensation, SSNs, and bank details never sit in the integration layer, because every request routes to the source HR system live. It covers 592 HR & Directory integrations with change detection configurable to every minute and a published per-integration capability matrix: the answer to the first question an enterprise security team asks about any HR integration vendor.
Finch is the payroll-depth specialist (sync-and-store, with deduction write-back); Kombo is the HR-category specialist across HRIS, ATS, assessment and LMS; Merge is the enterprise multi-category option; Knit is the closest architectural peer, also pass-through.
For employee data, the architecture is the first decision: four of the eight platforms in this comparison persist your customers' employee PII in their own infrastructure (Apideck, Knit, Truto and Unified.to are the exceptions, though Apideck's logs keep full request and response bodies by default, and Knit keeps hashes of synced records and, per its FAQ, raw request and response JSON in its logs), and your customers' security teams will evaluate that.
Every record in an HRIS integration is personally identifiable information. Employee names, dates of birth, social security numbers, compensation, bank accounts, dependents. When a unified API sits between your product and your customers' HR systems, the first technical question isn't coverage or schema depth; it's where that data rests.
This post compares the unified API platforms that support HRIS integrations: Finch, Merge, Kombo, Knit, Bindbee, Apideck, Truto, and Unified.to. It starts from that question, then works through write support, how current the data stays, and depth. Every Unified.to number comes from our published HR & Directory integration matrix.
Where does your customers' employee data rest?
The platforms in this comparison split into two architectures.
Sync-and-store platforms ingest employee data from each HR system, normalize it, and persist it in their own infrastructure. Your reads hit their stored copy. Finch stores employment records, compensation, tax information and company bank details in AWS, per its own documentation, and erases them when a connection is deactivated; its DPA keeps backups for at least one week (as of 8 October 2026). Merge stores synced data and credentials until explicitly deleted. Kombo mirrors HR data into its database. Bindbee maintains a normalized store behind its sync pipeline.
This architecture has real benefits: Finch serves reads from its copy in milliseconds and publishes typed pay statement data for 71 providers (as of 8 October 2026). But it has a structural consequence: your customers' security teams must evaluate the integration vendor as a data processor holding employee PII at rest. Retention policies, deletion windows, encryption controls, breach exposure. For enterprise deals, that evaluation extends procurement.
Pass-through platforms route every request to the source HR system at request time. No employee records persist in the integration layer, only credentials and operational metadata. Unified.to, Knit and Truto share this posture; Apideck also routes requests, though its logs keep full request and response bodies by default. On Unified.to, credentials can additionally live in your own secrets manager, 11 supported, including AWS Secrets Manager, Azure Key Vault, Google Cloud Secret Manager and HashiCorp Vault, on the Pro tier and above, taking even token storage out of the vendor's hands.
The difference shows up in security reviews. MyHub, an enterprise employee intranet platform, made it part of their own sales motion: "Unified.to's no-cache policy was a key factor in our decision. Their security-first approach is now part of our security and data privacy pitch to clients, especially enterprise IT stakeholders."
How current is employee data through a unified API?
Architecture determines how current the data is, too. On sync-and-store platforms, your data is as current as the last sync, and sync cadence is where this category's fine print lives:
| Architecture | Change detection on systems without native webhooks | Tier-gated? | |
|---|---|---|---|
| Unified.to | Pass-through | Virtual webhooks at a configurable interval, as frequent as every minute; changed records included in the event payload | No |
| Knit | Pass-through reads, scheduled change detection | Scheduled syncs: 24 hours on its entry plan; configurable on Scale Up and Enterprise (12- and 6-hour presets, 5-minute API minimum); the changed record in each event | Yes |
| Kombo | Sync-and-store | Scheduled syncs, 3-hour default, configurable down to five minutes, faster intervals on Scale and Enterprise; notification then fetch | Yes |
| Merge | Sync-and-store | Daily on Launch; Highest to Quarterly on Professional and Enterprise; sync credits only for Monthly or Quarterly | Yes |
| Finch | Sync-and-store | 24-hour syncs for automated integrations; 7-day for assisted integrations | Connector-type gated; assisted connections need Pro or Premier and send no data-change events |
| Bindbee | Sync-and-store | 24-hour default, adjustable | Published |
| Two rows deserve attention. Finch's assisted integrations, the connectors that extend their catalogue beyond API-native systems, refresh every 7 days, with writebacks taking up to 2 business days, per Finch's own integration documentation. For employee offboarding, access provisioning, or anything security-adjacent, week-old employee data is a real constraint. And Knit, also pass-through, fixes change detection at 24 hours on its $499 entry plan and allows down to 5 minutes only on quote-only plans, against Unified.to's 1-minute minimum on every paid plan (as of 8 October 2026). Where a source system sends webhooks, Kombo subscribes on a documented set of integrations and changes reach it in 10 to 20 seconds, delivered as a notification your application then fetches. |
API reads on Unified.to have no staleness window at all: every call is fetched directly from the source system, because there's no stored copy to fall behind.
Can a unified API write to any HRIS?
No, and any platform implying otherwise is describing its schema, not its integrations. Write constraints belong to the underlying HR systems. Here is what that looks like across Unified.to's 592 HR & Directory integrations; support varies by integration, so check each integration's Feature Support tab in the docs for exact coverage:
| Object | Read support | Write support |
|---|---|---|
| Employee | Most integrations | Many integrations |
| Group / department | Many integrations | Some integrations |
| Location | Some integrations | Few integrations |
| Time off | Some integrations | Few integrations |
| Bank account | Few integrations | Very few integrations |
| Payslip | Few integrations | None (read-only) |
| Deduction | Few integrations | Very few integrations |
| Earnings: amounts added to a pay cheque, the counterpart to deductions | ADP Workforce Now, Check, Employment Hero Payroll, Gusto, Paychex, Paycor, Paylocity, Remote.com and UKG Pro HCM; methods vary by integration | Create on each; update and remove on some (see docs) |
| The pattern is the market, documented. HR systems guard writes on sensitive objects, such as payroll, bank details and benefits, far more tightly than reads, and a unified layer inherits every one of those rules. |
The honest concession: if your product is benefits administration, 401(k) recordkeeping, or insurance, which are workloads built on deduction and contribution write-back, Finch and Bindbee built purpose-specific tooling for exactly that, and they go deeper on pay-statement data than any horizontal platform, Unified.to included.
Finch's depth exists because it ingests and stores pay statements; the moat and the data-at-rest posture are the same architectural fact. One question to ask both during evaluation: how many integrations actually support the write-back? Finch's figures disagree: its Integration Types page says 5 automated and 20+ assisted, while its public provider data lists deduction write operations for 26 providers (8 October 2026), and that provider data is a per-integration field and write matrix. Bindbee claims "pre-negotiated write access across its connector network" without publishing a count.
Which unified APIs support HRIS integrations?
Finch: 250+ HRIS and payroll systems by its own count (291 in its docs, 236 of them reached through assisted connections where Finch acts as a third-party administrator, as of 8 October 2026). Pay statements typed into 13 earning, 4 tax and 19 deduction types, and deduction writes on Pro and Premier. Sync-and-store in one US region, employment data only. The right answer when your product is built on payroll data and daily-to-weekly data currency is acceptable.
Merge: 233 integrations across eight categories as of 2 October 2026, 87 of them HRIS. Sync-and-store: daily sync on Launch, faster syncs and source webhooks on Professional and Enterprise. The right answer for read-heavy HR analytics on an established vendor.
Kombo: 100+ HRIS integrations in its docs index (as of 8 October 2026) and write support including employee creation, absences, employee documents and skills, with skills writes sent on the next sync. Sync-and-store with US, Canadian and EU data centres, ISO 27001. The right answer for products that want a queryable copy of HR data the vendor hosts.
Knit: pass-through like Unified.to: its reads route to the source system live, while its change detection runs on scheduled syncs, 24 hours on its entry plan and down to 5 minutes on Scale Up and Enterprise. Its docs list 72 HR and payroll apps (78 on its site, as of 8 October 2026). HRIS access starts at $499/month on Start Up, which Knit says is not for "enterprise apps like Salesforce, Workday, etc."; the free Launchpad plan covers MCP servers only. The right answer for HR-leaning products that want live reads and can work with scheduled change events.
Bindbee: 65–67 HRIS, payroll, benefits, and carrier systems, with 17 published HRIS models and a benefits/deductions write-back focus. Sync-and-store; polling cadences and per-integration write coverage not published. The right answer for benefits-platform workloads evaluating alongside Finch.
Apideck: 59 or more HRIS integrations as of 8 October 2026, behind a compact seven-resource model, with Vault, its embedded integrations marketplace, as the differentiator. The right answer when the customer-facing integration directory is itself the requirement.
Truto: 41 HRIS integrations and 20 resources on its HRIS product page, with 59 integrations on its docs coverage page (as of 8 October 2026). Pass-through and zero-retention by default, like Unified.to, with opt-in sync/caching layers (RapidBridge, SuperQuery) when you want them. Its differentiator is per-tenant schema customization via JSONata overrides on top of its own unified models. Its coverage pages publish per-integration support by resource and method, and its rendered method pages name the integrations behind each request field (as of 8 October 2026). The right answer when deep per-tenant mapping control matters more than catalogue size.
What does Unified.to's HR & Directory capability matrix show?
As of 9 October 2026, the unified HR & Directory model defines 18 objects: Employee, Group, Location, Company, Time Off, Attendance, Timeshift, Payslip, Payroll (pay runs), Pay Code, Benefit, Deduction, Earnings, Bank Account, Document, Device, Job, and Taxonomy. Readable properties vary by integration, and the matrix lists them for every integration in the category.
For comparison: Bindbee publishes 17 HRIS models.
HR APIs change constantly: Unified.to's changelog recorded over 370 field additions across the catalogue in the three months to July 2026. The live matrix is the canonical source for current counts. Field coverage on widely used HR platforms, as a snapshot at time of writing:
| Integration | Readable fields | Writable fields | Webhook event types |
|---|---|---|---|
| Paylocity | 76 | 9 | 2 |
| Paycor | 73 | 12 | n/a |
| Oracle HCM | 70 | 17 | 4 |
| Paychex | 62 | 16 | 7 |
| Intuit GoCo | 56 | 14 | 2 |
| Rippling | 54 | 8 | 10 |
| ADP Workforce Now | 49 | 14 | n/a |
| FactorialHR | 49 | 12 | 12 |
| BambooHR | 38 | 21 | 3 |
| Personio | 35 | 17 | 6 |
| Every number above, and the equivalent for every integration in the category, is in the public capability matrix, including which writable fields are required on create. Merge and Kombo also publish per-integration field coverage in their docs. |
Three properties rarely travel together in this category: a pass-through architecture with no employee data at rest, deep normalization out of the box, and a published per-integration, per-field capability matrix showing which fields each integration can read, write and requires on create.
Merge, Kombo and Finch publish per-field coverage but store a synced copy of HR data. Knit is pass-through but smaller, with change detection at 24 hours on its entry plan. Truto holds the first two: it is pass-through by default and ships its own unified HRIS models, with per-tenant JSONata overrides on top. Its rendered API reference names the integrations that support or require each request field, but readable fields per integration come only from an authenticated metadata endpoint, not a public matrix (as of 8 October 2026). Among the platforms here, Unified.to is the only one that publishes a public per-integration matrix of readable, writable and required fields.
Employee data doesn't only live in the HRIS
The category is named HR & Directory deliberately. Employee data lives in the HRIS, and in Okta, Google Workspace Directory, Microsoft Entra, Slack, GitHub, and the user directories of nearly every system a company runs. Products that need to answer "who works here, what's their role, are they still active", such as provisioning, security, onboarding, intranet and IT asset tools, need all of those sources, not just the HR system of record.
Unified.to's Employee object reads from most integrations in the category, whether the source is BambooHR or Okta or GitHub. The model also includes Device and Timeshift objects: workforce-layer data. If your product answers "who works here and what can they access," the HR system of record is only part of the answer.
And if a system your customer needs isn't in the catalogue, ask any vendor what happens next. On most platforms, the answer is a feature request into someone else's roadmap. Unified.to adds new integrations from customer demand; Humi's CEO describes the team "adding them within days"; the catalogue reached 592 in this category that way.
If your product already supports SCIM
SCIM (System for Cross-domain Identity Management, RFC 7644) is the standard most products use to provision users in their customers' identity and HR systems: create an account, update a role or department, deactivate on offboarding, sync groups and memberships. If your product already implements SCIM, you built that once against the SCIM schema.
Unified.to provides a SCIM API mapped to the SCIM data model, with enterprise, Lattice, and Peakon schema extensions: Users and Groups, full create/read/update/delete, each with a published per-integration field and webhook matrix. It sits as a gateway between your existing SCIM implementation and the HR and directory integrations listed on the SCIM page, so the SCIM integration you already built reaches all of them through one interface, with no per-system work.
What most identity-provisioning tools don't do: WorkOS and Scalekit provision identity from your customer's IdP into your application, the opposite direction. Unified.to presents a SCIM interface over the HR catalogue, including systems whose underlying APIs don't implement the SCIM specification at all, so the SCIM integration you already built reaches them without per-system work. Aquera's SCIM Gateway performs the same translation over its own HR-app catalogue; Unified.to's SCIM interface reaches the integrations listed on its SCIM page.
Keep this distinct from the employee-data path above. This is the identity and provisioning surface, mapped to the SCIM schema, not the unified HR objects. Coverage on any given system is still bounded by what that system permits, the same rule that governs every write in this comparison.
How fast can you ship HRIS integrations with a unified API?
Humi, a Canadian HR platform serving thousands of businesses, hit the wall every HR product hits: each additional HRIS integration was weeks of engineering, and the maintenance compounded. Working with Unified.to, Humi shipped 25 HRIS integrations in one month, a catalogue their team estimated at 7+ years of native engineering work, using the unified HR model plus raw passthrough for vendor-specific edge cases.
The detail that matters for this comparison: Humi is an HR-product company, the exact buyer profile the HR specialists target. The deciding factors were a single employee-data surface across the catalogue and an architecture that didn't put their customers' employee records in a third party's database.
How do you evaluate a unified HRIS API?
- Where does employee data rest? Pass-through keeps PII out of the integration layer; sync-and-store puts the vendor inside your customers' compliance scope. Ask for the retention policy and deletion window either way.
- Is the capability matrix public? If per-integration, per-object write support isn't published, you'll discover it during implementation.
- API-native or assisted? Ask what fraction of the catalogue is live API integration versus SFTP or manual operation, and what the sync cadence is for each.
- What's the change-detection cadence on systems without webhooks, and is it tier-gated? Answers in this comparison range from every minute to every 7 days.
- Which objects can you write, on the platforms your customers actually run? Employee writes are broadly supported; payroll, benefits, and bank-detail writes are scarce everywhere, because HR systems restrict them.
What does a unified HRIS API cost?
Pricing models in this category split on what they meter, and on whether they publish anything at all.
Unified.to prices on API-call volume, with unlimited customers and unlimited connections at every paid tier: Grow at $750/month (750K calls), Pro at $1,500/month (2M calls), Scale at $3,000/month (6M calls), each with per-1,000-call overage rates that decrease as you scale. Every tier is published with its numbers.
That matters most for products with many small customers. Per-linked-account models tie cost to customer count: Merge lists $650/month for up to 10 production linked accounts, then $65 per account beyond that (as of October 2026); Finch lists $65 a month per connection on Starter, up to 15 connections and 24 providers, with Pro and Premier by quote (as of 8 October 2026). For a product onboarding hundreds of low-usage customers, cost under those models climbs with each connection regardless of how little data flows through it, while a call-volume model climbs with usage. The reverse can hold too: a handful of high-frequency customers (nightly full-roster syncs, for example) can run up call volume, and per-1,000 overages are where to check that against your own usage shape.
The second split is disclosure. Unified.to and Apideck publish tier pricing, Finch publishes its Starter price only, and Truto publishes per-connector starting prices (from $999 per connector per year, as of 8 October 2026); Merge publishes its Launch tier only, with Professional and Enterprise contract-based. Kombo is quote-only at every tier; Bindbee publishes only a $12,000 annual minimum.
Can AI agents access HR data through Unified.to?
The same pass-through architecture serves AI agents directly. Unified.to provides an MCP (Model Context Protocol) server that gives agents authorized access to real employee data across the HR & Directory catalogue, for reads and write actions, without that data being cached or stored in the integration layer. An agent answering "who joined this month and what's their reporting line" queries the source systems live, scoped to the same authorization the rest of the platform uses.
This is structured, authorized access across multiple HR integrations, not a single connection: the agent reaches the same catalogue through the same connection model, with no employee records sitting at rest for it to read from.
What integrations does an HR product need beyond the HRIS?
HR & Directory is one of five categories Unified.to runs across the employment lifecycle, on the same pass-through architecture: ATS (157 integrations; see Best Unified API for ATS Integrations), Assessments, Verifications (background checks as a first-class category), and Learning Management. A candidate hired through the ATS becomes an employee in the HRIS, gets background-checked, provisioned, and onboarded into training, each handoff through the same platform, the same authorization components, and no stored records anywhere along the way.
Evaluate against the systems your customers actually run; the capability matrix is built for exactly that.
Moving from another unified API? Unified.to publishes migration guides for Merge, Kombo, Finch and Apideck, plus an overview for other platforms; each maps authorization, API calls, pagination, webhooks and passthrough, and covers re-authorizing customers or importing credentials from your own OAuth apps.
→ Start your 30-day free trial
Frequently asked questions
What is the best unified API for HRIS integrations? It depends on the workload. Unified.to fits products that need employee data across many systems in real time, with no employee PII stored in the integration layer: 592 HR & Directory integrations on a pass-through architecture with a published capability matrix. Finch fits payroll-centric products needing pay-statement depth and deduction write-back. Kombo fits HR-category products that want HRIS, ATS, assessment and LMS from one vendor on a sync-and-store architecture. Merge fits read-heavy, multi-category workloads on an established vendor.
Which unified APIs don't store employee data?Unified.to, Knit and Truto (pass-through by default). All three route requests to the source HR system without persisting employee records; Knit keeps hashes of synced records to detect changes. Apideck also routes requests, though its logs keep full request and response bodies by default. Finch, Merge, Kombo, and Bindbee are sync-and-store platforms that retain employee data, including, in Finch's case, compensation, tax and company bank details, in their own infrastructure.
Can unified APIs write employee data back to HRIS platforms? Within the limits of each HR system's API. On Unified.to, employee writes are supported on many integrations, with per-integration detail in the published matrix. Writes on sensitive objects, such as payroll, bank accounts and benefits, are scarce across every platform, because HR systems restrict external writes on them.
How does Unified.to compare to Finch for payroll data? As of 8 October 2026, Finch publishes typed pay statement data for 71 providers and deduction writes for 26, read from a copy synced every 24 hours to 7 days. Unified.to reads pay runs on Check, Deel, Employment Hero Payroll, Gusto, Paychex, Paycor, Remote.com and Rippling, types each payslip line as an earning, deduction, tax or employer contribution with its pay code, and adds an Earning object, reading the source live without storing the data. For benefits administration or 401(k) products, evaluate Finch; for employee data across many systems with no PII at rest, evaluate Unified.to.
Full comparison: Finch vs. Unified.to
Is Nango a unified API like the platforms compared here? Not in the same sense. Nango is source-available (Elastic License 2.0) infrastructure for 1,000+ APIs where you define your own data models in code; as of 8 October 2026 its one shared standard model covers HRIS employees on 11 integrations. It fits teams that want to own the schema and sync logic themselves. The platforms compared in this post supply a maintained, normalized model with a published capability matrix out of the box, a different tradeoff from building your own on top of a framework.
How current is employee data through a unified API? On pass-through platforms, API reads return the source system's current state on every call. For change events, Unified.to's virtual webhooks detect changes at a configurable interval as frequent as every minute. Sync-and-store platforms are bounded by sync schedule: 3 hours (Kombo default; Kombo also subscribes to source webhooks on a documented set of integrations, where changes arrive in 10 to 20 seconds), 24 hours (Finch automated) or 7 days (Finch assisted). Knit, which reads live, sends change events every 24 hours on its entry plan.
Written by Mallory Greene.
About the author: Mallory Greene is Head of Marketing at Unified.to. She writes about integration infrastructure, unified APIs, and MCP for technical teams. Based in Toronto.