Built for RevOps, engineering, and ops teams who want a platform not just a product

A CRM you can build on, with custom objects, a published API, webhooks, Flow canvas, and auth claims that read like a real platform not a feature list.

Teams that treat the CRM as a platform (RevOps-heavy, engineering-adjacent, ops-first) need specific capabilities: custom objects with real schemas, published REST API with webhooks, Flow canvas with HTTP action, claims-based authorization, and audit logs that satisfy compliance review. Strkr ships these as first-class platform primitives, not as enterprise-tier add-ons.

What this audience is actually dealing with

The pains that bring buyers here.

Teams that build on their CRM run into a category of pain when the platform surface is thin. Custom objects limited to a few per tenant, API rate limits that throttle normal operations, webhooks that are enterprise-tier only, Flow surfaces that cannot call external APIs, authorization that is role-only without claims, and audit logs that fail compliance review. The cards below are the common pains.

Custom object limits

The CRM supports 5 custom objects, the business needs 15.

Legacy CRMs often limit custom object count per tenant to a small number (5, 10, 20) with the next tier required for more. Teams running a business model (multi-sided marketplace, specialized vertical, complex product catalog) hit the limit quickly. Strkr supports hundreds of custom objects per tenant with real schemas, custom fields, relationships, permissions, and reporting.

API rate throttling

The nightly sync fails because the API throttled at midnight.

CRM API rate limits often throttle normal operations: nightly syncs fail because the limit is set below the actual volume, integration pipelines break during peak hours, bulk imports hit per-minute caps. Strkr publishes generous API rate limits per tier with specific numbers and the admin surface shows current usage against the limit so throttling is predictable.

Webhook tier-gating

Webhooks are only available on the Enterprise tier.

Many CRMs gate webhooks behind the Enterprise tier, forcing teams that need event-driven integration to upgrade or run polling-based alternatives. Strkr webhooks are available on every paid tier with configurable event filters, delivery retry, and signature verification. The webhook surface is first-class, not an upgrade gate.

Automation external API gaps

The workflow cannot call an external service, period.

CRM automation surfaces often handle internal CRM actions well and external API calls badly or not at all. Teams add a third-party tool to the stack to compensate. Strkr's Flow canvas includes an HTTP action node with typed request and response, OAuth handling, retry policy, and error branching. External integrations stay inside the Flow without a secondary tool.

Authorization fragility

The role-based model cannot express a complex business rule.

Role-based authorization models (user has role X, which grants permissions Y) break on real-world business rules that need to combine user attributes, record attributes, and context. Strkr uses claims-based authorization with row-level security on every table. Business rules express as claim predicates that evaluate against the live record, not just the user role.

Audit log depth

The audit log shows user X updated record Y, but not what changed.

Many CRM audit logs record the action (user X updated record Y) but not the field changes with before and after values. Regulated-industry compliance review needs the deeper audit. Strkr audit logs capture every write with field-level before and after values, actor, timestamp, source (user, API, Flow), and context. The audit is a first-class product surface.

What building on Strkr actually looks like

The platform primitives on day one.

A CRM you can build on is useful only if the platform primitives are complete and consistent: custom objects, API, webhooks, Flow, auth claims, audit logs. The cards below are the capabilities Strkr ships as platform primitives.

Custom objects

Hundreds per tenant with real schemas.

Strkr supports hundreds of custom objects per tenant with real schemas (field types, required fields, default values, validation rules), relationships to other objects (lookup, master-detail, many-to-many), permissions per object, custom views, and reporting. The custom object surface is as capable as the standard object surface. The pattern suits teams modeling complex business shapes.

Open REST API

Full CRUD on every object with published rate limits.

The Strkr REST API covers full CRUD on every standard and custom object with authentication via API tokens or OAuth. Rate limits publish per tier (requests per minute, requests per day) with generous ceilings. The admin console shows current usage against the limit. The API documentation at strkr.io/docs covers every endpoint with examples in Node, Python, and Ruby.

Webhooks on every paid tier

Event-driven integration without an Enterprise upgrade.

Webhooks fire on configurable events (record created, updated, deleted, custom events) with delivery retry on failure, signature verification for security, and payload customization. The webhook surface is available on every paid tier. The admin console shows webhook delivery logs with payload, response status, and retry history for debugging.

Flow canvas with HTTP action

Automation that calls external services.

Strkr Flow includes an HTTP action node with typed request (method, URL, headers, body, auth), typed response (status, headers, body with JSON parsing), OAuth handling, retry policy with backoff, and error branching. External integrations (enrichment APIs, custom services, legacy systems) build inside Flow without a secondary automation tool.

Claims-based authorization

Business rules expressed as claim predicates.

Strkr uses claims-based authorization with row-level security on every table. Claims express as predicates that evaluate against the user attributes, record attributes, and context (time, region, source). Business rules like "the AE can read deals in their territory but only edit deals they own" express as claim predicates in the admin, not as nested role-permission matrices.

Audit logs with field-level depth

Every write with before and after values.

Strkr audit logs capture every write with field-level before and after values, actor (user, API token, Flow), timestamp with millisecond precision, source (user action, Flow, API, integration), and context (session, IP, user agent). The audit is queryable through the admin console and exposed via API for compliance tool integration.

The patterns teams build on Strkr

What real build-on-Strkr looks like.

Teams that treat Strkr as a platform build specific patterns that extend the product beyond its default shape. The cards below are the common patterns.

Vertical data model

Custom objects for industry-specific entities.

Vertical teams build custom objects for industry-specific entities: Properties (real estate), Policies (insurance), Patients (healthcare), Loans (financial services), Jobs (home services), Members (association), Students (education). The custom objects relate to standard CRM objects (contact, account, deal) with explicit relationships and inherit the full platform treatment including reporting and automation.

Integration hub

External systems connected via API and webhooks.

Teams use Strkr as the integration hub with external systems: enrichment APIs via Flow HTTP action, legacy ERP via webhook plus API, marketing tools via webhook plus API, specialist BI via API read. The hub pattern consolidates integration logic in one place with the Flow canvas handling the orchestration layer.

Workflow extensions

Business rules expressed as Flow with HTTP action.

Teams extend standard CRM workflows with Flow definitions that call external services for specialized logic: discount approval with external pricing-engine call, lead scoring with external ML model call, document generation with external contract-engine call. The pattern keeps the automation layer in Strkr with specialized logic called out via HTTP action.

Custom frontend

React or Vue app with Strkr as the backend.

Teams building customer-facing portals, partner portals, or specialized internal apps use Strkr as the backend with a custom React or Vue frontend. The API covers the full data surface. Authentication supports OAuth and API tokens. The pattern suits teams with specific UX needs that go beyond the Strkr product UX.

Audit-driven compliance

Audit log consumed by compliance tooling.

Regulated-industry teams consume the Strkr audit log through the API for compliance tooling: GRC platforms (Vanta, Drata, Secureframe) read audit events, SIEM tools (Splunk, Elastic, Datadog) ingest audit logs, custom compliance workflows run on audit event streams. The pattern replaces the "manual audit export every quarter" ritual with real-time compliance visibility.

Multi-tenant partner builds

Agencies and partners build client-specific configurations.

Agencies and consulting partners build client-specific Strkr configurations as reusable patterns: industry-specific custom object sets, specialized Flow libraries, pre-configured reporting packs. The partners deploy the pattern to client tenants with the configuration-as-code approach, which accelerates client onboarding and preserves consistency.

The developer experience on Strkr

What building on Strkr feels like from the engineering side.

A CRM you can build on is only useful if the developer experience is actually good. The cards below cover the developer experience for teams building on Strkr.

Published API documentation

Complete REST reference with examples.

The developer docs at strkr.io/docs publish the complete API reference: REST endpoints, authentication flows, request and response formats, error codes, rate limits per tier, and SDK references for Node, Python, and Ruby. The documentation is browsable without a sign-up or sales call. The examples cover the common patterns teams need for integration.

SDK packages

Official SDKs for Node, Python, Ruby.

Official Strkr SDKs publish for Node, Python, and Ruby with typed interfaces, automatic retry on transient errors, pagination handling, and authentication helpers. The SDKs install via npm, pip, and gem respectively. Community SDKs for Go, Rust, and PHP are maintained by the community with documentation links from the Strkr docs.

Sandbox environment

Separate tenant for development and testing.

Every Strkr production tenant has a free sandbox tenant that mirrors the production schema for development and testing. The sandbox runs the full Strkr product with isolated data. The admin can copy production data (anonymized) to the sandbox for realistic testing. The sandbox is a first-class environment, not a trial.

Webhook debugging

Delivery logs with replay for failed webhooks.

The webhook admin console shows delivery logs with timestamp, payload, response status, response body, and retry history. Failed webhooks can replay to the endpoint with the original payload for debugging. The pattern substantially reduces the "did the webhook actually fire" blind spot that teams hit on production integrations.

Flow dry-run

Preview Flow execution against real records before publish.

Flow dry-run executes a Flow against a selected record with full step-by-step visibility: which branches activated, which variables filled, which actions would fire (without actually firing them). The dry-run is the "did I handle the edge case" check before publishing a Flow to production. Teams building on Strkr use dry-run as part of the Flow iteration cycle.

Audit log API

Query audit events via REST for custom tooling.

The audit log exposes via REST API with query parameters for actor, timestamp range, action type, object type, and record ID. Teams build custom tooling that consumes the audit stream for compliance reporting, anomaly detection, and change management. The API-driven audit replaces the "manual quarterly export" ritual with real-time programmatic access.

Head-to-head

Strkr as a platform vs typical CRM extensibility.

The common alternatives for extensible CRM are Salesforce (deep platform at enterprise cost), HubSpot (moderate platform), Zoho (Deluge scripting plus limited custom objects), or Pipedrive (surface-level customization). Here is the head-to-head on platform primitives.

Feature Strkr Typical CRM platform surface
Custom object count Hundreds per tenant on every paid tier Varies, often 5-25 with Enterprise upgrade for more
REST API Full CRUD on every object with published rate limits Varies, often tier-gated with lower limits
Webhooks Every paid tier with filters, retry, signature verification Often Enterprise-tier gate or limited event coverage
Automation HTTP action Native in Flow canvas with OAuth and error branching Varies, often requires separate integration tool
Authorization model Claims-based with row-level security per table Varies, often role-based with limited row-level logic
Audit log depth Field-level before and after on every write Varies, often action-level without field detail
Sandbox environment Free per tenant with full product and data copy Varies, often paid or Enterprise-tier gate
Compliance posture HIPAA with BAA, SOC 2 Type II in progress through 2026-Q4 Varies, often Enterprise-tier for compliance scope
How teams use Strkr

How teams build on Strkr.

The common thread across teams building on Strkr: the platform primitives support real extensibility without the Enterprise-tier upgrade that other CRMs require for similar capabilities. The playbooks below are drawn from recent builds.

32-seat insurance brokerage

Policy custom object plus Policy-event Flow replaced a specialist tool.

A 32-seat insurance brokerage built a Policy custom object with relationships to Contact (holder) and Account (business), 24 custom fields, and 8 Policy-event Flows (new business, renewal, cancellation, claim, lapse, reinstatement, endorsement, policy-change). The build replaced a specialist insurance tool at a substantial monthly subscription. The team's RevOps lead completed the build over 4 weeks with no engineering help.

45-seat healthcare services

Patient custom object plus HIPAA-safe audit on every change.

A 45-seat healthcare services firm built a Patient custom object with HIPAA-safe field encryption, claims-based access (clinicians read patients in their care team, admins read all), and audit logging on every PHI change. The audit log satisfies HIPAA audit review requirements. The compliance team signed off on the build before launch. The pattern suits healthcare teams that need CRM-adjacent patient tracking without a separate PHI-safe system.

28-seat marketplace

Multi-sided data model with buyers, sellers, and transactions.

A 28-seat multi-sided marketplace built a data model with Buyer accounts, Seller accounts, and Transaction custom objects. The Buyer-Seller-Transaction relationship model enabled marketplace-specific reporting (seller performance, buyer retention, transaction cohort analysis). The team built the full data model over 6 weeks with the RevOps lead and one engineer.

18-seat developer-tools startup

Custom frontend plus Strkr API for a customer-facing portal.

An 18-seat developer-tools startup built a customer-facing portal on React with the Strkr API as the backend. The portal exposes specific CRM data (support tickets, usage metrics, account state) to customers via an authenticated React app. The pattern replaced a plan to build a custom backend for the portal, which would have been substantially more work.

60-seat agency

Partner platform with client-specific configurations.

A 60-seat agency built out a partner platform with 5 industry-specific Strkr configurations (SaaS, real estate, healthcare, insurance, financial services) with reusable custom objects, Flow libraries, and reporting packs. New client tenants deploy the matching configuration in a day rather than week-long per-client builds. The partner platform pattern accelerated client onboarding substantially.

A CRM you can actually build on, with platform primitives included.

Start a 14-day trial with the full Strkr stack: CRM, custom objects with real schemas, open REST API, webhooks on every paid tier, Flow canvas with HTTP action, claims-based authorization, field-level audit log, free sandbox tenant, SDK packages for Node, Python, Ruby.

Common questions

What buyers in this bucket ask most.

How many custom objects can I create on Strkr?

Strkr supports hundreds of custom objects per tenant on every paid tier with no additional seat lines or tier upgrades required. The custom object surface includes real schemas (field types, required fields, default values, validation rules), relationships to other objects (lookup, master-detail, many-to-many), permissions per object, custom views, and reporting. The pattern suits teams modeling complex business shapes (multi-sided marketplaces, specialized verticals, complex product catalogs) without hitting the custom object count limit that legacy CRMs enforce.

What are the API rate limits on Strkr?

Strkr publishes API rate limits per tier on the developer docs with specific numbers for requests per minute and requests per day. The limits are set generously relative to typical integration patterns, so most teams do not hit the limit under normal operations. The admin console shows current usage against the limit so throttling is predictable rather than surprising. Enterprise tier has higher published rates for high-volume integration scenarios. The rate limits are not negotiable at purchase but the published numbers suit the vast majority of use cases.

Are webhooks available on every paid tier?

Yes. Strkr webhooks are available on every paid tier with configurable event filters (which records, which actions, which conditions), delivery retry on failure, signature verification for security, and payload customization. The webhook admin console shows delivery logs with payload, response status, and retry history for debugging. Failed webhooks can replay to the endpoint with the original payload. The webhook surface is first-class, not an Enterprise-tier upgrade gate as it often is on legacy CRMs.

How does Flow handle external API integration?

Strkr Flow includes an HTTP action node with typed request (method, URL, headers, body, auth), typed response (status, headers, body with JSON parsing), OAuth handling, retry policy with configurable backoff, and error branching. External integrations (enrichment APIs, custom services, legacy systems) build inside Flow without a secondary automation tool. The HTTP action handles REST APIs, authenticated endpoints, and most common integration patterns. Teams typically consolidate a prior third-party automation tool into Strkr Flow for CRM-adjacent automations.

What is the authorization model on Strkr?

Strkr uses claims-based authorization with row-level security on every table. Claims express as predicates that evaluate against user attributes (role, team, territory, department), record attributes (owner, stage, status, custom fields), and context (time, region, source). Business rules like "the AE can read deals in their territory but only edit deals they own" express as claim predicates in the admin console. The model is substantially more expressive than role-only authorization and handles real-world business rules without workarounds. Permissions evaluate at query time, so changing a claim affects data access immediately.

How deep is the Strkr audit log?

Strkr audit logs capture every write with field-level before and after values, actor (user, API token, Flow definition), timestamp with millisecond precision, source (user action, Flow execution, API call, integration), and context (session, IP, user agent). The audit log is queryable through the admin console with filters by actor, time range, action type, object type, and record. The audit log exposes via REST API for integration with GRC platforms, SIEM tools, and custom compliance workflows. The pattern satisfies HIPAA audit review requirements and other regulated-industry compliance scopes. Strkr is HIPAA compliant with Business Associate Agreement available on request, SOC 2 Type II in progress through 2026-Q4, GDPR and CCPA compliant.

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