Best Unified API Platforms of 2026
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As of October 2026, Unified.to is the best unified API platform for B2B SaaS teams that need current customer data across 36 categories and 1627 integrations without a third-party copy: every call reads and writes live against the source, no customer records rest in the integration layer, and pricing is per API call with unlimited connections. On the 174 integrations it shares with Merge, Unified.to writes 226 objects that Merge only reads, against 30 the other way (our count, 2 October 2026), and the same connections drive [Unified MCP](/mcp) for AI agents. Merge is the sync-and-store option, priced per linked account; Apideck also reads live, writes bank feeds into 17 ledgers (beta) and offers Vault, an embedded integrations UI, but hosts in the EU only; Nango suits teams that want to own their integration code; and Kombo mirrors HR, payroll, recruiting, assessment and learning data into its own store.
This guide compares unified APIs for SaaS integrations (CRM, HRIS, ATS, accounting and more), not LLM gateways that put one endpoint in front of many AI models. Unified.to wrote it; the FAQ explains how each fact was checked.
What is a unified API (and what it is not)?
A unified API is a single, normalized interface for a category of third-party APIs (for example CRM, ATS, or Accounting) that abstracts differences in authentication, pagination, schemas, and rate limits. You integrate once and support every provider in the category.
A unified API is not an API gateway, an iPaaS or workflow-automation tool (Zapier, Make, Workato), or an internal data pipeline.
How should you evaluate a unified API platform?
Test a unified API on your own top integrations before you commit: connector counts alone don't show whether a platform reads and writes the objects your product needs. These seven tests cover what decides production behaviour, and the last column points to where this guide answers each.
| Test | What to check | Where this guide covers it |
|---|---|---|
| Coverage | Your 5 to 10 most important apps are live, not only listed or in beta | "How much does Unified.to read and write?" and each vendor's section |
| Read and write coverage | You can read, create, update and delete the exact objects and fields you need | "How much does Unified.to read and write?" |
| Custom fields | Provider-specific fields come through without workarounds, and whether field mapping is saved per customer | "Where Unified.to isn't the fit" and the Knit and Paragon profiles |
| Freshness | Live reads, scheduled syncs or change events, and how often each runs | The comparison table and the security and events section |
| Reliability | How expired credentials, rate limits, retries, duplicates and partial failures are handled | "Explicit webhook semantics" and "Logs and monitoring" |
| Security and portability | Where customer data is stored, who owns the OAuth app, and what happens to tokens if you switch | The comparison table and "Authorization, under your brand" |
| Total cost | Cost at 100, 1,000 and 10,000 connected customers, including per-account, compute and API-call fees | The pricing section |
| Behind most of these tests sits one choice, architecture: whether the platform reads live from the source (pass-through) or syncs data into its own store and serves you a copy (sync-and-store). It decides data freshness, breach exposure, audit scope and how cost scales (pass-through vs. sync-based architecture guide). This guide weighs architecture first, then freshness and events, pricing at scale, and security controls. |
Which unified API platform is best for your use case? (2026 comparison)
The best unified API platform depends on where customer data must live and what your product writes. The table below compares the five main platforms, in the order this guide ranks them, on architecture, data at rest and pricing unit.
| Platform | Architecture | Data at rest | Pricing unit | Best for |
|---|---|---|---|---|
| Unified.to | Pass-through, live source reads | No customer records; connection credentials and operational metadata, encrypted at rest per the privacy policy | API calls | Real-time and AI-native products |
| Merge | Sync-and-store | Synced data retained until deleted | Linked accounts | A vendor-hosted synced copy, priced per linked account |
| Apideck | Pass-through | No business records; its API logs page says full request and response bodies are captured | Active consumers | Bank-feed writes (17 ledgers, beta) and an embedded integrations UI |
| Nango | Code-first, self-owned models | Synced records cached on Nango Cloud (US); payloads pruned 30 days after last update; actions and proxy log no bodies | Per connection plus compute and transfer | Owning the abstraction layer |
| Kombo | Sync-and-store | Yes, mirrored into Kombo's database | Per connected customer | HR-only products that want a vendor-hosted copy |
How do the platforms compare feature by feature?
The platforms differ most on how quickly changes reach you, how custom fields are handled and what each offers AI agents; this table adds Knit and Paragon, profiled further down.
| Platform | Change events | Custom fields | MCP for AI agents | ISO 27001 | Entry price |
|---|---|---|---|---|---|
| Unified.to | Native and virtual webhooks, as often as every minute on paid plans | raw, Metadata API and Passthrough on every plan; no saved per-customer mapping | Hosted, one host per region | No | Grow from $750 a month |
| Merge | Daily sync on Launch; faster syncs and source webhooks from Professional | Field Mapping on Professional and Enterprise | Local MCP package; Agent Handler sold separately, per tool call | Yes | Launch $650 a month for up to 10 Linked Accounts (first 3 free) |
| Apideck | Virtual webhooks typically every 24 hours | Custom field mapping from Scale ($1,299 a month) | MIT-licensed, self-hostable, beta | Not publicly listed | $599 a month for 25 consumers, 1 category |
| Nango | Syncs as often as every 30 seconds | You define the models in code | Per agent session | Not publicly listed | Free, then pay-as-you-go from $50 a month (returned as usage credits) |
| Kombo | 3-hour default sync; source webhooks on 22 integrations | Custom fields mapped per integration on every plan | Docs only, none for integration data | Yes | Quote only |
| Knit | Scheduled syncs, every 24 hours on its entry plan | Saved per-customer field mapping | Separate MCP Servers product | Yes | Start Up $499 a month plus connected-account fees |
| Paragon | Managed Sync as often as every minute | End users map fields in its Connect Portal (Enterprise, or a Pro add-on) | Self-hosted, over ActionKit tools | "Coming soon" | Contract only |
| Merge, Apideck, Nango and Knit list lower entry prices than Grow. Grow's price covers every category on the entry plan, where Apideck's $599 plan covers one, and events that carry the changed records on supported integrations, where Nango's sync webhooks carry counts of added, updated and deleted records and Apideck's carry an ID and a URL to fetch. Merge Launch and Knit Start Up refresh on a daily sync, where Grow's change events run as often as every minute on supported integrations. |
Why does pass-through change what a unified API can do?
Pass-through means each integration maps a source onto a shared model at request time, with no pipeline to sync and no stored copy to keep current. In a sync-and-store model, each integration is a data pipeline someone builds, syncs, and maintains, so every new integration adds to the maintenance surface. Reads are only as fresh as the last sync, and your customer's data sits at rest in the vendor's infrastructure.
Unified.to avoids that maintenance cost because the expensive, cross-cutting work (authorization, change detection, rate-limit handling, normalization) is handled once at the platform layer, not rebuilt per connector. Adding an integration is mostly mapping a new source onto models and patterns that already exist. That is how the catalogue reaches 1627 integrations, with readable and writable fields listed for each one so you can check a system before you build.
Four generations of integration architecture
Integration technology has moved through four generations, and each earlier one traded something away that pass-through doesn't have to.
| Generation | Examples | The tradeoff |
|---|---|---|
| ETL | Batch pipelines | Scheduled batches, never built for live data |
| iPaaS | Boomi | SaaS-to-SaaS, but still bounded by scheduled syncs |
| First-gen unified API | Merge, Kombo | One data model, with reads served from the vendor's own database (on Kombo, custom-field data is collected during a sync rather than fetched live) |
| Real-time unified API | Unified.to | Live source reads, no customer records at rest, unification through the whole stack |
Unification is not merging
Unification means related data is embedded in the object it belongs to; merging means it is scattered across separate objects you reassemble yourself. Take ATS as the example. When a platform models screening questions, tags, offers, and rejections as their own first-class objects, a single "show me this application" view becomes several API calls your code stitches together, unless the platform offers an expand parameter that returns related objects in the same response, as Merge's does (as of 30 September 2026). The object list looks comprehensive in a sales comparison; you pay for it in the integration.
As of 8 October 2026, Truto's ATS API reference lists 17 resources, with offers, reject reasons, tags, and job form fields (which cover screening questions) as separate resources (Truto vs. Unified.to). Unified.to embeds those into 9 objects (screening questions on the job, offers and rejections on the application), so one call returns the enriched record instead of a join you assemble.
"Their customers make five API calls to assemble the same data you get from one of ours. We've done the unification so you don't inherit that complexity." — Roy Pereira, CEO, Unified.to
Fewer calls means less to maintain as each underlying API changes.
Why does Unified.to rank first for real-time and AI-native products?
Unified.to ranks first in 2026 for teams building real-time or AI-driven products because it routes every request directly to the source system and returns results live, rather than syncing and persisting customer data. On 1 September 2026, DevNetwork's API World named Unified.to's Real-Time Unified API the winner of the 2026 API Award for Best Business Software API (announcement).
Pass-through architecture with no payload data at rest. Unified.to caches no customer payloads and stores no third-party business records, so there's no stored copy to secure, audit or keep current.
Live source reads by default. Every API request hits the upstream source live. When a vendor offers native webhooks, Unified.to passes the events straight through; when they don't, virtual webhooks detect the changes and deliver the events on supported integrations and objects: the same interface either way, and you never build polling. Change detection runs as frequently as every minute on paid plans (60 minutes on the free trial), and if there's nothing new, the check isn't billed. The event carries the changed records, so there's no follow-up fetch to reconcile. Coverage varies by integration and object: payslip events exist on Paychex, Paylocity, Remote.com and Rippling, for example, while pay runs and pay codes emit none.
Explicit webhook semantics. Unified.to documents that native events may arrive out of order or duplicated, that virtual webhooks include retries and backoff, and that initial backfills, on integrations that support an initial sync, emit paged payloads (INITIAL-PARTIAL) followed by a final INITIAL-COMPLETE event.
Sync into your own database. Database Sync writes normalized records into your own MongoDB, MySQL, Postgres, MSSQL, MariaDB, Supabase or Snowflake database, delivered by the same native and virtual webhooks, on Grow and every plan above it; include_all loads history before changes start. Your app reads locally, and the copy sits in your infrastructure, not Unified.to's.
Logs and monitoring. API calls are logged with endpoint, timing, status and workspace, never payloads, kept 60 days on Grow and Pro and 365 days on Scale, and Pro and Scale ship logs to Datadog, Grafana or ClickHouse. Each connection reports when it was last healthy or unhealthy and the status code behind the failure, and each webhook reports whether it's healthy along with its most recent runs.
Source data past the normalized model. raw returns the full source payload and the Passthrough API reaches any unmodelled endpoint. Readable and writable fields are listed per integration: Workday (Legacy), for example, creates employees with 17 writable fields, including compensation and job.
Usage-based pricing. As of 12 October 2026, Unified.to prices by API call: Grow from $750 a month for 750,000 calls, Pro from $1,500 for 2 million and Scale from $3,000 for 6 million, with unlimited connections, published overage rates and a 30-day free trial on Grow and Pro.
Enterprise controls. Unified.to is SOC 2 Type II attested, and GDPR, CCPA/CPRA, and PIPEDA compliant, with HIPAA BAAs available on Scale and the 2026 SOC 2 Type II report available on request through its trust centre. Pro and Scale add SAML SSO, credential storage in your own secrets manager (11 supported) and IP restriction. One region per workspace: US on every plan; EU or AU on Pro and Scale. Workspace data stays in its region, and workspaces have admin and member roles. Enterprise adds on-prem, private cloud, dedicated cloud or single-tenant hosting.
"Credentials don't even have to live in our database. You can keep them in your own secret manager, or your end customer's, and we fetch them in real time." — Roy Pereira, CEO, Unified.to
One artifact to store. Onboarding produces a single connection ID, the same identifier whether you're calling the API, receiving webhooks or driving the MCP server.
Authorization, under your brand. Embedded authorization components for React, Angular, Vue, Svelte and plain JavaScript run the consent flow for your customers. In production you register your own OAuth app with each vendor, so customers authorize your application, and tokens issued to your app keep refreshing if you ever change providers. Unified.to holds the credentials, encrypted at rest.
New integrations are built from demand. When you need a system Unified.to doesn't yet support, you can request it; new integrations are shipped in days based on customer demand.
Who's behind it. Unified.to was started by CEO Roy Pereira and CTO Alexey Adamsky, and went through Techstars Toronto's 2023 cohort. Roy has three decades in engineering, product and executive roles, has founded five startups and exited two, and founded the chat-based AI assistant Zoom.ai (later CalendarHero) in 2014.
Who builds on it. Customers include HoneyBook; Interstellar Labs, which went from two hand-built integrations to 300+ in three months; and Breakthrough Jobs, which moved from Merge. Floats, RecView and Mycroft evaluated Merge and chose Unified.to. Humi, Sync2Hire and HeroHunt.ai are among the others in its case studies.
"After using Merge, Codat, and Rutter in two prior companies, Unified is the clear standout: richer integrations, a pricing model you can actually scale with, and service that delivers. A true tech hat trick." — Oz L., CEO, RunFutureProof "The responsiveness from Unified and the willingness to adapt to what we needed stood out. It's the best turnaround I've seen on requests and questions." — Anton Zaides, Engineering Manager, HoneyBook
Where Unified.to isn't the fit. As of 20 October 2026, Unified.to reads bank accounts and bank transactions from ledgers such as Xero and NetSuite, and account data from Plaid, Stripe and Brex, but writes no bank feeds, while Apideck writes them into 17 ledgers (beta, as of 8 October 2026). Change events exist on supported integrations and objects only, with none on pay runs or pay codes, and Nango runs change detection as often as every 30 seconds against Unified.to's one minute. There's no saved per-customer field mapping, reads take as long as the source API takes, because nothing is cached, and there's no published uptime SLA on Grow, Pro or Scale; SLAs come with Enterprise, and a public status page reports uptime and incidents for the API in each region. EU and AU workspaces need Pro or Scale, and Unified.to has no open-source MCP server. If every customer uses the same provider, a direct integration may be simpler than any unified API.
Best for: B2B SaaS teams that read and write customer data across several categories, need change events as often as every minute, run AI agents through MCP, or can't hold a third-party copy of customer records.
How much does Unified.to read and write?
Unified.to writes as well as reads on the integrations below; these counts come from its published writable-field lists, changelog and catalogue.
| Measure | Count | As of |
|---|---|---|
| Objects Unified.to writes that Merge only reads, on the 174 integrations both cover | 226 (30 the other way) | 2 October 2026 |
| Integrations that write accounting invoices | 48 | 12 October 2026 |
| Integrations that write accounting bills | 26 | 12 October 2026 |
| Integrations that write accounting contacts | 105 | 12 October 2026 |
| Accounting objects QuickBooks Desktop writes | 10 | 12 October 2026 |
| Integrations that write payments, including QuickBooks, Xero and NetSuite | 23 | 12 October 2026 |
| Writable fields when creating a Workday (Legacy) employee | 17 | 8 October 2026 |
| Integrations by category | 686 HR & Directory, 162 ATS, 217 CRM, 269 accounting | Current catalogue |
| Coverage varies by integration and object, so check the exact fields your product needs in each integration's Feature Support tab before you build. |
When should you choose Merge instead?
Choose Merge when you want the vendor to sync and store a copy of your customers' data, and per-linked-account pricing fits your volume. Merge, founded in 2020 and naming OpenAI, Ramp and Lattice as customers, normalizes HRIS, ATS, CRM, Accounting, Ticketing and more, with logs and issue detection on every plan.
The tradeoff is architectural. Merge syncs and stores data by default, and its documentation describes synced data and credentials as stored until you delete them. On its Launch plan, records refresh on a daily sync; faster syncs and source webhooks start at Professional. Merge detects deletions free where the source announces them; elsewhere, detection needs Enhanced deleted data, a paid add-on on annual Professional or Enterprise plans that runs every three days. Pricing scales per linked account: as of 12 October 2026 the first 3 production Linked Accounts are free, then Launch is $650 a month for up to 10 and $65 for each one after. See Merge vs. Unified.to.
Best for: Mid-market and enterprise companies that accept a vendor-held copy of synced data and per-linked-account pricing. Not for: products that need data fresher than the daily sync on Launch, or pricing that doesn't multiply with every linked account.
When should you choose Apideck, Nango, or Kombo?
Choose Apideck to write bank feeds into accounting ledgers or give customers an embedded integrations UI, Nango to write and own your integration code, and Kombo to keep HR data in a vendor-managed store. Like Unified.to, Apideck is pass-through and stores no business records, though its logs page says "Full request and response bodies are captured". As of 8 October 2026 it writes bank feeds into 17 ledgers (beta), embeds display labels beside foreign keys in its accounting objects, and offers Vault, an embedded integrations UI your customers use to browse, connect and manage their own integrations. It hosts in the EU only. For providers without native webhooks, its virtual webhooks check typically every 24 hours, adjustable by plan. Pricing is per active consumer, from $599 a month for 25 consumers and one category. See Apideck vs Unified.to.
Choose Nango when integrations are core product IP and you want to own the abstraction layer. Nango provides infrastructure to build your own unified models rather than shipping opinionated schemas out of the box, which means full control, at the cost of writing and maintaining a TypeScript function per integration where no pre-built one exists. See Nango vs. Unified.to.
Choose Kombo when you want HR data held in a store it manages. Kombo covers HRIS and payroll, ATS, assessment and background check, and LMS, with ISO 27001 alongside SOC 2 Type II, an uptime SLA listed on its Scale and Enterprise plans, and Slack, Teams and email support on every plan. Per Kombo's own documentation, HR data is mirrored into its database and reads are served from that store, as current as the last sync or processed source webhook: as of 8 October 2026, source webhooks on 22 integrations, mostly ATS, typically deliver changes in 10 to 20 seconds, and elsewhere syncs run on a 3-hour default, with faster intervals on Scale and Enterprise. Kombo's sync guide notes that delta syncs can't detect deletions, so full syncs find them. As of 8 October 2026, Kombo publishes an MCP server for its documentation only, and none for integration data. See Kombo vs. Unified.to.
Best for: Apideck for accounting products and embedded integrations UIs where EU hosting is acceptable; Nango for teams owning their models; Kombo for HR-only products that want a vendor-hosted copy.
Not for: Apideck where features need changes faster than its roughly 24-hour virtual-webhook checks or hosting outside the EU; Nango where you don't want to maintain a function per integration; Kombo where the product spans categories beyond HR or can't hold a third-party copy of employee records.
When should you choose Knit or Paragon?
Choose Knit for HR, payroll and recruiting integrations with saved per-customer field mapping or an ISO 27001 requirement, and Paragon when your customers configure their own integrations and workflows inside your product. As of 8 October 2026, Knit is a unified API for 13 categories, with most of its integrations in HR, payroll and recruiting: it reads the source on request, pushes changed records to your webhook from scheduled syncs (every 24 hours on its entry plan) and keeps hashes and record IDs of synced records to detect changes. Its Start Up plan lists at $499 a month before connected-account fees, which are priced by contract. See Knit vs. Unified.to.
Paragon is an embedded integration platform rather than a unified API (embedded iPaaS vs. unified APIs). It sells Workflows, ActionKit's per-vendor actions and Managed Sync, which normalizes three categories (File Storage, CRM and Ticketing) and stores an encrypted replica of synced data on Paragon's cloud. Its white-label Connect Portal lets your customers map fields themselves, and it bills per Connected User. See Paragon vs. Unified.to.
Best for: Knit for HR-focused products that want saved field mapping; Paragon for products whose customers configure their own integration workflows.
Not for: Knit where you need change events within minutes without a quote, or categories beyond its 13; Paragon where you need one normalized model across many categories, or no stored copy on its cloud.
How do unified API pricing models compare in 2026?
Unified API pricing splits on what each platform meters: per-account and per-consumer prices multiply with every customer you add, while per-call pricing tracks usage. For what each model costs at 100, 1,000 and 10,000 customers and which is most predictable at scale, see usage-based vs. per-connection pricing; for which vendors actually bill by usage, see the vendor shortlist.
| Platform | Primary pricing unit | What drives cost at scale |
|---|---|---|
| Unified.to | API calls | Actual usage volume; Grow from $750 a month for 750,000 calls with unlimited connections (as of 12 October 2026) |
| Merge | Linked accounts | Customers × integrations |
| Apideck | Active consumers | Customers using integrations |
| Nango | Per connection plus usage | Connections, compute hours, data transfer |
| Kombo | Platform fee plus a fee per connected customer | Customer count; per-customer fee falls with volume; unlimited API calls per connection; quote-only at every tier |
| Monthly cost at 100, 1,000 and 10,000 connected customers (our calculation) |
| Connected customers | Unified.to | Merge Launch |
|---|---|---|
| 100 | $750 (Grow) | $6,500 |
| 1,000 | $1,000 (Grow plus overage) | $65,000 |
| 10,000 | $5,000 (Scale plus overage) | $650,000 |
| Assumptions: 1,000 API calls per connected customer a month and one Merge linked account per customer, at published monthly list prices (Unified.to checked 12 October 2026, Merge 13 October 2026), before any volume discount Merge negotiates. Your call volume per customer sets the real Unified.to figure. |
Merge's price doesn't change with call volume, so Merge costs less once each connection averages more calls a month than its $65 linked-account fee buys in Unified.to overage: 65,000 calls at Grow's $1.00 per 1,000, or 130,000 at Scale's $0.50 per 1,000 (our calculation). Which threshold applies depends on account count: 65,000 from 12 to 23 linked accounts (Grow), 86,667 from 24 to 46 (Pro, $0.75 per 1,000) and 130,000 from 47 up (Scale), which covers all three counts in the table. Below 12 linked accounts, Merge Launch, at $715 a month or less, costs less than Grow at any volume.
What Unified.to's price buys at that volume: reads that reach the source instead of a daily-synced copy on Launch, and Passthrough and source webhooks on every plan, which Merge starts at Professional.
How do the platforms compare on security and compliance?
All five platforms publish SOC 2 compliance, but architecture drives the real difference in audit scope. Unified.to and Apideck both avoid caching business records, which minimizes the data a breach or audit can reach, though Apideck's API logs page says full request and response bodies are captured, while Unified.to's carry operational metadata only. Merge, Nango and Kombo store synced data to varying degrees; Nango's records cache prunes payloads 30 days after a record's last update and deletes all records after 60 days without a sync run.
Event payloads differ too: Unified.to's events carry the changed records, while Apideck's virtual webhooks send the record's ID and a URL to fetch it, so each event needs a follow-up call; see how virtual webhooks differ from sync-based webhooks.
Which unified API is best for AI agents and MCP?
Unified.to suits AI agents because Unified MCP runs on the same live connections as the API: agents read current source data, write through the normalized model, and receive events instead of polling. It powers Unified MCP (Model Context Protocol), which exposes 22,566 callable, permissioned SaaS tools (normalized objects plus passthrough access) across 1627 integrations, with separate hosts in the US, EU and AU (EU and AU workspaces on Pro and Scale); a credential works only on its own region's host.
Unified MCP issues a connection-scoped URL so the workspace API key stays on your server, limits what an agent can call with permissions and tools, and strips names, emails and phone numbers before results reach the model with hide_sensitive. For retrieval, point webhooks or Database Sync at the service that chunks and embeds your records, and the vector index stays current as records change at the source, while Unified.to keeps no copy.
What about other integration platforms?
Unified.to compares seven more vendors head to head (as of 8 October 2026): six API providers built for one domain or a different data model, and Composio, which is not a unified API.
| Vendor | What it is for | Head-to-head |
|---|---|---|
| Finch | US HR, payroll and benefits data, served from a copy synced every 24 hours or 7 days | Finch vs. Unified.to |
| Rutter | Accounting, commerce, payments and ads, including bank-feed writes into customers' ledgers | Rutter vs. Unified.to |
| Codat | Bank-feed, bill-pay, expense and lending products for banks and lenders | Codat vs. Unified.to |
| Nylas | Email, calendar and contacts, plus a hosted Scheduler and a meeting bot | Nylas vs. Unified.to |
| StackOne | Provider-native actions for AI agents; its unified APIs are Legacy | StackOne vs. Unified.to |
| Truto | Pass-through unified API with per-tenant JSONata mapping, priced per connector | Truto vs. Unified.to |
| Composio | Tool calling and authentication for AI agents, across about 1,600 toolkits | Composio vs. Unified.to |
Frequently asked questions
Is this comparison independent?
No. Unified.to wrote it and ranks itself first. Every competitor fact comes from that vendor's own documentation or pricing page and is dated (8 October 2026 unless stated), Unified.to's figures come from its docs, pricing page and published writable-field lists, and the page names where Unified.to isn't the fit. The one outside signal is DevNetwork's 2026 API Award for Best Business Software API, presented on 1 September 2026.
Which unified API is best for HR and recruiting data?
It depends on where you want the data to live. Kombo mirrors HR data into its own database and Knit syncs it on a schedule; Unified.to covers the same categories among its 36, reads each source live, and keeps no employee or candidate records at rest. Check payroll and Workday writes for your providers before you choose.
Which unified API platform should you choose?
Choose by where customer data must live and what your product writes; if every customer uses the same provider, a direct integration may be simpler than any of them.
| If you need | Choose | Why (as of 8 October 2026) |
|---|---|---|
| Live reads and writes, change events that carry the changed records, no stored copy | Unified.to | Pass-through on every call; events on supported integrations as often as every minute on paid plans; per-call pricing with unlimited connections |
| AI agents acting on customer SaaS data | Unified.to | Unified MCP on the same connections; connection-scoped URLs and hide_sensitive |
| A synced copy of customer data held by the vendor | Merge | Sync-and-store; daily sync on Launch, faster syncs from Professional; priced per linked account |
| Bank-feed writes or an embedded integrations UI, with EU hosting acceptable | Apideck | Bank feeds into 17 ledgers (beta); Vault, an embedded integrations UI; EU hosting only |
| To write and own each integration's code | Nango | TypeScript function per integration, unless a pre-built sync or action exists |
| HR data held in a vendor-managed store | Kombo | HRIS, payroll, ATS, assessment and LMS mirrored into Kombo's database |
| HR, payroll and recruiting with saved per-customer field mapping | Knit | 13 categories, mostly HR; changes pushed from scheduled syncs (every 24 hours on its entry plan) |
| Customers configuring their own integrations and workflows in your product | Paragon | Workflows, ActionKit and Managed Sync; white-label Connect Portal; billed per Connected User |
| Every customer on the same single provider | A direct integration | No unification layer to pay for or learn |
| For picks within one category, these guides compare unified API platforms on that category's objects: |
The bottom line
Choose Unified.to for live reads and writes, change events on supported integrations that carry the changed records, no customer records at rest, per-call pricing with unlimited connections, and Unified MCP. The question that separates them is whether your reads reach the source or a copy someone else holds.
Start a 30-day free trial on Grow or Pro, or book a demo to see your use case on live connections.
What changed on 12 October 2026: added a feature-by-feature table, named customers, read and write counts, Database Sync, authorization, logs and monitoring, and the 2026 API Award; profiles of Knit and Paragon; a test-before-you-commit checklist and cost at three customer counts; a scope and disclosure note; and an FAQ on how the comparison was checked.
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.