The CRM API that respects your rate limits, your webhooks, and your sandbox.
HubSpots API shipped the category and still carries the category tax. Rate limits that break on quarterly promotions. Webhooks that silently drop events during platform maintenance. Sandboxes that lose feature parity on the quarterly release. Strkr ships a REST API, OAuth, batch endpoints, and webhooks designed to not be the thing your integration team pages on at 11 PM.
The HubSpot API is the most common integration surface in B2B. It also carries the sharpest pain-point list of any CRM API we see on buyer calls. Rate limits of 100 to 150 requests per 10 seconds that have not scaled with the plan tiers. Webhook deliveries that drop silently during HubSpot platform maintenance windows. API deprecations that break production integrations with 90 days notice. Sandbox environments that lag feature parity by a quarter. Six pains show up on every call we take with a team evaluating an alternative.
The 10-second rate limit
A seat upgrade does not raise the API ceiling.
HubSpots burst rate limits (100 to 150 requests per 10 seconds depending on tier) have not scaled with the paid-tier upgrades. A team on HubSpot Enterprise paying 150K a year still hits the same ceiling during a quarterly promotion that a Starter team hits. Strkr publishes rate limits that scale with the plan tier and offers soft and hard limits per OAuth app so a batch job cannot starve the live traffic.
Webhook delivery drops
Platform maintenance eats events.
HubSpot webhook deliveries have a documented pattern of silent drops during platform maintenance windows. The integrator rebuilds a nightly reconciliation job to catch what the webhook missed, which is extra engineering that should not be in scope. Strkr webhooks ship with at-least-once delivery, exponential-backoff retry up to 24 hours, and a replay API so a failed subscriber can resync without a bespoke reconciliation.
Deprecation treadmill
The v1 API sunsets with 90 days notice.
HubSpot v1 to v3 and v3 to v4 API migrations have landed with 90-day notice on prior cycles, which is tight for enterprise integration teams coordinating with 3 or 4 downstream consumer teams. Strkr versions APIs with a published 12-month deprecation window minimum, plus v1 maintained in parallel to v2 through the window, so your integration team plans the migration on your calendar rather than ours.
Sandbox parity drift
The sandbox lags production by a quarter.
HubSpot sandbox environments routinely lag production feature parity, which means an integration tested against sandbox breaks the first week on production because a field type behaves differently. Strkr sandbox environments mirror production feature parity on every release; feature flags work identically; the integration tested on sandbox behaves on production.
Batch endpoints are a half-measure
Batch of 100 is often the enterprise ceiling.
HubSpot batch endpoints cap at 100 records per request on many objects, which forces the integrator to loop and burn rate-limit budget on large sync jobs. Strkr batch endpoints support up to 1,000 records per request on common objects, with partial-success semantics so a batch with 5 bad records returns the 995 successes and the 5 errors on a single call.
Event granularity
The webhook fires on 20 fields; your logic needs 5.
HubSpot property-change webhooks fire on changes to a configurable property set but the configuration surface is coarse. The integrator ends up receiving far more events than their logic needs and filters client-side, which wastes compute. Strkr webhooks support field-level subscription so you receive events only on the fields your integration actually cares about, which cuts webhook volume by 60 to 80 percent in most cases.
What the Strkr API gives you
Nine primitives tuned for integration-heavy teams.
An API is the surface where integration quality shows up. The cards below are the primitives the Strkr API ships that integration teams tell us matter more than the feature list in the marketing deck. These are the pieces that keep the on-call engineer out of bed.
REST plus GraphQL
Both surfaces first-class.
Strkr ships a REST API for resource-shaped CRUD (contacts, accounts, deals, activities, custom objects) and a GraphQL endpoint for complex read-side joins across the data model. The two surfaces share authentication and permission model, so an integrator picks the one that fits the use case without a context switch.
OAuth 2.0 with granular scopes
Request only the scopes you need.
Strkr OAuth 2.0 ships with granular scopes per resource (contacts.read, contacts.write, deals.read, deals.write, etc) rather than a monolithic read everything scope. OAuth apps carry the users claims, so visibility rules propagate. Refresh tokens rotate on configurable intervals. The admin can revoke a app grant from the audit console.
Webhooks with replay
At-least-once delivery and 24-hour retry.
Strkr webhooks deliver events with at-least-once semantics, exponential-backoff retry up to 24 hours, and a replay API so a subscriber that was down during a delivery can resync the missed window. The subscriber signs with HMAC-SHA256 so forgery is not a concern. Delivery metrics are visible in the admin console.
Field-level webhook subscription
Receive events on the fields you care about.
Subscribe to webhook events at the field level: only fire the opportunity.stage_changed event when the stage field changes, not any opportunity update. Volume drops 60 to 80 percent in most cases, which saves compute downstream and makes the integration logic simpler.
Batch endpoints up to 1000
Big migrations do not drain the rate limit.
Batch endpoints support up to 1,000 records per request on common objects (contacts, accounts, deals, activities) with partial-success semantics. A batch with 5 bad records returns the 995 successes and the 5 errors on a single call. Migration jobs that would consume hours of rate-limit budget on HubSpot run in minutes on Strkr.
Rate-limit transparency
Headers tell you where you are.
Every API response includes X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset headers, plus a bucket identifier so an integrator with multiple OAuth apps per tenant can shape traffic across them. Soft and hard limits are published per plan tier. The integrator does not reverse-engineer the ceiling from a 429.
Sandbox with production parity
Mirror environment on every release.
Strkr sandbox environments mirror production feature parity on every release; feature flags work identically; integration tests that pass on sandbox pass on production. The admin can reset sandbox from production in one click, with configurable PII masking for test teams who need realistic data without legal exposure.
Published 12-month deprecation window
Breaking changes with real notice.
Strkr versions APIs with a published 12-month deprecation window minimum. v1 remains available in parallel to v2 through the window. The deprecation notice fires in the API response headers on every call to the deprecated endpoint, so your telemetry shows the warning rather than a surprise at the sunset date.
OpenAPI spec and SDKs
Auto-generated client libraries that work.
Strkr publishes an OpenAPI 3.1 spec that drives auto-generated SDKs for TypeScript, Python, Go, Ruby, Java, and .NET. The spec is machine-generated from the API source of truth, so the docs do not drift from the implementation. Community SDKs for other languages work from the same spec.
How integration teams build on Strkr
Six patterns from real integrations.
The patterns below are live integration motions. Reverse-ETL into a warehouse, bidirectional sync with a vertical tool, custom CPQ build, data-enrichment pipeline. The common thread is that the Strkr API primitives make the integration code shorter and more defensive than the equivalent on HubSpot API.
Reverse-ETL into Snowflake
Nightly sync without starving the live traffic.
An integration team at a growth-stage SaaS co runs nightly Strkr-to-Snowflake sync for the data team. The batch endpoints at 1,000 records per request handle the 2M-contact tenant in roughly 35 minutes. A separate OAuth app with a scoped rate limit means the batch cannot starve the live app traffic. The equivalent HubSpot sync ran 4 to 6 hours before.
Bidirectional sync with Zendesk
Support ticket round-trip in seconds.
A SaaS co with a Zendesk support tool runs bidirectional sync: Strkr contact changes push to Zendesk, Zendesk ticket state pushes to Strkr. Field-level webhook subscription means the sync only fires on the fields the integration cares about. Round-trip latency is seconds. The previous HubSpot-Zendesk sync lagged by 2 to 15 minutes.
Custom CPQ build
Quote generation on the account record.
A B2B team built a custom CPQ (configure-price-quote) tool on top of Strkr. The tool reads account firmographic data, product catalog, discount rules, and writes back a generated quote PDF to the deal record. Strkrs GraphQL endpoint drives the complex read-side joins; REST handles the writes. The build took 3 weeks instead of the 3-month HubSpot CPQ custom-build the team had scoped before.
Data enrichment pipeline
Clay plus Apollo plus LinkedIn feed.
A RevOps lead at a 60-rep B2B team runs a data enrichment pipeline: Clay orchestrates enrichment across Apollo, LinkedIn, and 3 other sources, writes the enriched record back to Strkr. The field-level webhook subscription on new contact creation keeps the enrichment load bounded. Rate limits per OAuth app ensure the enrichment burst does not starve the sales team app.
Marketing-automation handoff
Marketo lead handoff with field-level sync.
A team running Marketo on top of Strkr uses field-level webhook subscription to trigger the Marketo nurture-exit flow only when the lead status field moves to MQL. Previous HubSpot setup fired the webhook on any contact update and the Marketo team filtered 94 percent of events as noise. The Strkr setup eliminated the filter step entirely.
Mobile companion app
Internal field-tool built on Strkr API.
A field-services company built an internal companion mobile app for route optimization on top of Strkr API. The app uses OAuth with scoped tokens per tech, reads from Strkr for the account route, writes work-order updates back. The 12-month deprecation window gave the integration team confidence to invest in the custom build without worrying about a 90-day API sunset.
Honest limits
What the Strkr API will not do today.
Any vendor claiming the API covers every use case at every scale is overselling. The list below is what Strkr does not do today, so the integration teams buying decision rests on real expectations.
No GraphQL mutations yet
GraphQL is read-side only today.
Strkr GraphQL supports read-side queries with complex joins across the data model. Mutations (writes) go through the REST API today. GraphQL mutations are on the roadmap but we have not shipped them yet. Integration teams who need a mutation-heavy GraphQL surface should treat REST as the write path.
No subscription-style streaming
Server-sent events are limited.
Strkr delivers events over webhooks (push to subscriber endpoint). Server-sent events (SSE) or WebSocket subscription streams are not a first-class API surface today. Teams needing a real-time dashboard typically poll a batch endpoint on a 2 to 5 second interval or subscribe to webhooks and surface events to the UI. True streaming is on the roadmap.
Rate limits exist
Scaled with the plan, but not infinite.
Strkr publishes rate limits per plan tier. The ceiling scales with the plan but it is not infinite. Enterprise teams running integrations that need higher sustained throughput than the Enterprise tier publishes should talk to the pre-sales team about a custom traffic agreement. The published rate limits cover roughly 95 percent of integration patterns we see.
SDK coverage per language
Six languages first-class; others community-maintained.
Strkr maintains first-class SDKs for TypeScript, Python, Go, Ruby, Java, and .NET. Other languages (Rust, Elixir, PHP, Swift, Kotlin) have community-maintained SDKs built from the OpenAPI spec. Enterprise teams depending on a less common language should audit the community SDK before standardizing or build against the raw REST API.
No SOAP endpoint
Modern APIs only.
Strkr does not expose a SOAP endpoint for backward compatibility with legacy integration tools. Enterprise teams on legacy middleware (older TIBCO, older BizTalk, older WebMethods) should plan for an adapter layer in front of Strkr REST. We publish an adapter-pattern reference guide on request.
Data-residency scope
US and EU today; others on roadmap.
Strkr runs US and EU data residency. APAC and other regions are on the roadmap. Integration teams with strict data-residency obligations in regions not currently hosted should ask for the current roadmap on a jurisdiction before signing. The API behavior is identical across regions.
Head-to-head
Strkr API vs HubSpot API head to head.
The comparison below is against HubSpot API v3 and v4 as of 2026. Numbers are from HubSpot public documentation plus a sample of 42 integration teams we have interviewed in the past 18 months.
Feature
Strkr
HubSpot API (v3 / v4)
Rate limit per OAuth app
Scales with plan tier; soft and hard limits published
100 to 150 requests per 10 seconds; does not scale with seat count
Batch endpoint size
Up to 1,000 records per request
Typically 100 records per request
Webhook delivery semantics
At-least-once with 24-hour retry and replay API
Best-effort; silent drops during maintenance windows
Field-level webhook subscription
Subscribe per field; event volume cut 60 to 80 percent
Property-change on configured property set; coarse
Deprecation window
Published 12 months minimum; v1 maintained in parallel
90 days notice on recent cycles
Sandbox parity
Mirror production on every release
Routinely lags production feature parity
GraphQL surface
Read-side first-class; mutations on roadmap
Not available
OpenAPI spec
OpenAPI 3.1 published and SDK-driving
Partial spec; community-maintained extensions
SDK coverage
Six first-class languages
Node first-class; others partial
Rate-limit headers
Limit, Remaining, Reset, Bucket on every response
Partial header set
How teams use Strkr
How integration teams run on Strkr API.
The patterns below are live. Numbers from mid-market and growth-stage integration teams.
Growth-stage SaaS, 2M contact tenant
Nightly Snowflake sync in 35 minutes instead of 5 hours.
A growth-stage SaaS co runs a nightly reverse-ETL from the CRM into Snowflake for the data team. On HubSpot the sync ran 4 to 6 hours and routinely hit rate-limit backoffs. On Strkr the batch endpoints at 1,000 records per request plus a dedicated OAuth app with a scoped rate limit means the sync runs 35 minutes with no backoff. The data engineering lead redirected the 4 hours a day of ETL window to building actual pipelines instead of babysitting sync jobs.
B2B SaaS, 60-rep sales team
Custom CPQ build in 3 weeks instead of 3 months.
A B2B SaaS team scoped a custom CPQ build on HubSpot API at 3 months of engineering time. The main pain points were the batch limits, the webhook noise, and the sandbox-production drift. The team re-scoped on Strkr API and the build landed in 3 weeks. The GraphQL endpoint handled the complex read-side joins (account firmographics plus product catalog plus prior quote history); REST handled the write-back to the deal record. The CRO called it the fastest custom build the team has shipped.
An integration agency builds Marketo-plus-CRM setups for 14 clients. On HubSpot the property-change webhooks fired on every contact update and Marketo filtered 94 percent of events as noise. The filter logic was a persistent source of bugs. On Strkr the field-level webhook subscription means Marketo only receives events on the lead status field moves. The filter logic went away. The agencys bug backlog dropped 60 percent on the moved client accounts.
Enterprise B2B, 300-rep team
Deprecation window gave 12 months to migrate.
A 300-rep enterprise B2B team moved off HubSpot after the previous API deprecation cycle landed with 90 days notice and forced a rushed migration across 7 downstream integration teams. On Strkr the published 12-month minimum deprecation window plus the parallel v1 availability through the window gave the integration lead confidence to invest in deeper integrations without a sunset risk. The ops team sized the ongoing anxiety-cost reduction as material and the CTO signed the renewal early.
Field-services firm, 24 technicians
Custom mobile companion app on scoped OAuth tokens.
A field-services firm built an internal mobile companion app for technician route optimization on Strkr API. OAuth 2.0 with per-tech scoped tokens, batch endpoints for the route-sync, webhooks for inbound dispatch updates. The build took 2 weeks and runs on 24 iPads in the field daily. The IT director said it was the first custom build the team had attempted on the CRM API because the HubSpot API ceilings had always made similar scope not worth starting.
A CRM API that respects your rate limits and your sanity.
Start a 14-day trial. Full REST plus GraphQL read-side, OAuth 2.0 with granular scopes, webhooks with at-least-once delivery and replay, batch endpoints up to 1,000 records, OpenAPI 3.1 spec and first-class SDKs. Sandbox mirrors production.
How does the Strkr API compare to the HubSpot API for a team building a reverse-ETL to a warehouse?
Three structural differences matter. First, batch endpoints: Strkr supports up to 1,000 records per request versus HubSpots common 100-record cap. On a 2M-contact tenant the batch-size difference alone cuts the sync window from hours to under an hour. Second, OAuth scoping: Strkr lets you provision a dedicated OAuth app for the batch job with a scoped rate limit, so the batch cannot starve the live sales-team traffic; HubSpots rate limits are per account rather than per app in most tiers. Third, sandbox parity: your reverse-ETL tested on Strkr sandbox behaves on production; HubSpot sandbox feature drift forces an extra round of production-only testing.
What is the Strkr webhook delivery guarantee?
At-least-once delivery with exponential-backoff retry up to 24 hours and a replay API. If your subscriber endpoint is unreachable during an event, Strkr retries with backoff for 24 hours; if it is still unreachable after the retry window, the event lands in the replay queue which the subscriber can pull from on reconnect. HMAC-SHA256 signing on every delivery means forgery is not a concern. Delivery metrics (success rate, latency, retry count) are visible in the admin console per webhook subscription.
Does Strkr publish an OpenAPI spec, and are the SDKs maintained by Strkr or by the community?
Strkr publishes an OpenAPI 3.1 spec maintained in lockstep with the API source of truth; the spec is machine-generated so the docs cannot drift from the implementation. First-class SDKs for TypeScript, Python, Go, Ruby, Java, and .NET are maintained by Strkr with release-cycle coverage. Other languages (Rust, Elixir, PHP, Swift, Kotlin) have community-maintained SDKs built from the same spec. We publish the spec itself at a stable URL so teams can regenerate client libraries on their own build pipeline.
How does Strkr handle API versioning and deprecation?
Strkr publishes a 12-month minimum deprecation window on any breaking change. The deprecated endpoint remains available throughout the window with a Deprecation and Sunset header on every response, so your telemetry can detect calls to deprecated endpoints and alert the team. The new version ships in parallel from day one. The migration guide publishes alongside the deprecation notice. For enterprise contracts we can extend the window further on request. The 90-day deprecation cycles that affected HubSpot v1-to-v3 migrations are not a thing on Strkr.
Can we migrate from HubSpot API to Strkr API without rewriting every integration?
Partially. The endpoint shapes differ (REST resource layout, authentication, scopes) so a direct drop-in replacement does not exist. For common integrations (reverse-ETL, Marketo handoff, Zendesk sync, Slack notifier) we publish migration guides with example diffs. For custom integrations the typical rewrite is 20 to 40 percent of the original integration code, mostly in the authentication and the webhook subscription setup; the business logic usually ports directly. We publish a migration-assistant tool that scans a HubSpot integration repository and flags the files that need changes.
What does the compliance posture of the Strkr API cover?
Every API call writes to the admin audit log with the OAuth app, scope requested, timestamp, response status, and response size. Rate-limit metrics are visible per app. SOC 2 Type II controls cover the API pipeline the same way they cover the application; audit is in progress through 2026-Q4. HIPAA compliant with BAA available for healthcare-adjacent deployments. GDPR and CCPA compliant for contact data; the API respects right-to-be-forgotten workflows. Enterprise integration teams typically find the audit answer here cleaner than at vendors who treat the API audit as a separate surface from the application audit.
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