Legacy CRMs ship an API as a tier upgrade or a half-finished afterthought. Strkr ships REST and GraphQL endpoints, an OpenAPI spec, outbound webhooks with HMAC signing, and a developer-friendly admin console across every tier. Flat per-seat pricing.
Developer-first revenue teams run into a pattern of CRM friction: the API is a Professional-tier upsell, the webhook spec is undocumented, the admin console does not expose service accounts, and the shipping iPaaS layer (Workato, MuleSoft, Boomi) adds a six-figure line item. The pain points below are what Strkr onboarding hears on every intake call with developer-first teams.
Several major CRMs ship API access only on the Professional or Enterprise tier at a per-seat sticker that is 2 to 4x the mid tier. Developer teams running a 15-person engineering group get locked into the per-seat math on seats that do not need the Enterprise feature set. Strkr ships REST and GraphQL API access on every tier.
When the CRM API is partial or rate-limited the typical pattern is to buy an iPaaS layer (Workato, MuleSoft, Boomi) that sits between CRM and ERP, between CRM and data warehouse, between CRM and marketing automation. The iPaaS layer adds $30,000 to $120,000 per year. Strkr direct webhook integration through the standard webhook spec with HMAC signing covers 85 percent of what teams buy iPaaS for.
Legacy CRM APIs have rate limits that vary by tier, by endpoint, and by time of day. The sync job fails at 2 AM and the engineer debugs for three hours. Strkr publishes rate limits in the OpenAPI spec and surfaces per-tenant rate usage on the admin console in real time, so the engineering team can tune sync windows without guessing.
Some CRMs sign outbound webhooks with HMAC SHA-256, some sign with a legacy custom scheme, some do not sign at all. Developer teams end up writing a signature verifier per vendor. Strkr signs every outbound webhook with HMAC SHA-256 against a per-tenant secret rotated through AWS Secrets Manager, documented in the OpenAPI spec.
Some legacy CRMs require a human user account for API access, which forces engineering teams to use shared admin credentials for machine integrations. Strkr ships service accounts as a first-class capability with scoped permissions, rotatable credentials, and audit log tracking.
Some legacy CRMs require a ticket to the implementation partner for custom field creation, schema changes, or workflow updates. Developer teams end up building a shadow schema in a side database. Strkr admin console lets any admin create a custom field in under 30 seconds, update a workflow in a declarative builder, and version the schema through the audit log.
The cards below are what the Strkr API surface looks like for a developer-first team. The full surface is documented at the /developers page and the OpenAPI spec is published for machine consumption.
Full REST API coverage across every record type (accounts, contacts, deals, products, custom objects) with CRUD operations, filtering, sorting, pagination, and expansion of related records. The REST surface mirrors what the admin console exposes with no capability gated to the Enterprise tier.
A GraphQL endpoint sits alongside REST for teams that prefer the typed query interface. The GraphQL schema is generated from the Strkr custom-object configuration per tenant, so a tenant with custom objects gets a tenant-specific GraphQL schema with full type safety.
The OpenAPI spec publishes at every tenant /openapi endpoint with full type definitions, parameter schemas, response schemas, and example payloads. The spec drives SDK code generation in TypeScript, Python, Go, Ruby, Java, and C#. Engineering teams can bootstrap a type-safe client in under 10 minutes.
Outbound webhooks fire on every record event (create, update, delete, state transition). Each delivery signs with HMAC SHA-256 against a per-tenant secret. Failed deliveries retry with exponential backoff up to 24 hours, then land in a dead-letter queue the admin can inspect and replay.
Service accounts are first-class on every tier with scoped permissions (read, write, admin per resource type), rotatable credentials through AWS Secrets Manager, and dedicated audit log tracking. The engineering team provisions a service account per integration without using a human seat.
Rate limits publish in the OpenAPI spec by endpoint and tier. The admin console surfaces real-time per-tenant rate usage with historical trend, so the engineering team can tune sync windows and request a rate increase before hitting the ceiling. Scale tier rate limits scale with team size.
For teams that would otherwise buy an iPaaS layer the Strkr flow builder covers 85 to 90 percent of the integration patterns. The cards below show the block categories and the capability depth.
CRUD blocks cover every record type with field-level update support, conditional branching on the input payload, and atomic state transitions. The admin can rebuild complex Salesforce Flow logic in Strkr flow blocks without writing code.
Webhook blocks fire HTTP requests to external systems with HMAC signing against the destination secret, header template substitution, response parsing, and retry logic. The engineering team can hit any REST API from a flow without writing code.
Wait blocks support duration (wait 24 hours), condition (wait until deal reaches a stage), and approval (human-in-the-loop with approver role, timeout, and two outbound ports for approved and rejected paths). The approval block covers the discount-sign-off and handoff workflow patterns.
Branch blocks support if-else and switch logic on any record field, with nested conditions and short-circuit evaluation. The flow DAG stays readable because the branch block renders as a visual branch rather than a long nested expression.
Email send and Strkr Messaging send blocks accept templated bodies with record context substitution, conditional recipient routing, and tracking tie-back to the record timeline. The team can run an outreach cadence from a flow without buying a separate email tool.
The flow builder renders a plain-English summary of each flow using Strkr AI, so the admin can read a 40-block flow in two sentences and decide whether to toggle it on. The polish surfaces inline on the flow card.
The cards below are what engineering teams tell us they want from a CRM admin console, and what Strkr ships.
Custom field creation, rename, retype, and delete all land in the audit log with timestamp, user, and before-after state. Schema changes can be reviewed, exported, and replayed. For teams running a dev-staging-prod environment pattern the schema changes can be ported deliberately.
Permission scoping on 54 resource types with role-based assignment, field-level read-write control, and record ownership rules. The engineering team can carve out a service account with narrow scope for a integration without opening the admin seat.
The audit log captures every record read, record write, email send, flow trigger, AI call, and admin action with timestamp, user, and metadata. 90-day default retention is tunable per tenant up to the compliance ceiling. Audit log exports support JSON and CSV for ingestion into the warehouse.
Sandbox tenants separate from production tenants with schema copy and selective data copy. The engineering team can test schema changes, flow updates, and integration changes in sandbox before deploying to production. Sandbox-to-prod promotion is on the roadmap.
Strkr runs on AWS with integration tokens stored in AWS KMS and platform credentials in AWS Secrets Manager. Lambda runs the API in a multi-tenant posture with warm paths under 100 milliseconds. Cold paths add about 400 milliseconds on the first call. The engineering team can inspect the infrastructure posture for compliance review.
The /developers page lives on the public site with API reference, OpenAPI spec download, webhook spec, SDK examples, and integration patterns. Engineering teams can evaluate the API surface before talking to sales, which is the way most engineering teams want to buy.
The comparison below is Strkr developer surface versus a legacy CRM API posture on Salesforce, Dynamics, or HubSpot.
| Feature | Strkr | Legacy CRM API |
|---|---|---|
| API access tier | Every tier. | Professional or Enterprise. |
| REST and GraphQL | Both ship by default. | REST primary, GraphQL rare. |
| OpenAPI spec published | At tenant /openapi endpoint. | Partial or community-maintained. |
| Webhook signature scheme | HMAC SHA-256, per-tenant secret. | Legacy custom scheme or unsigned. |
| Service accounts | First-class with scoped permissions. | Shared admin user common. |
| Rate limit visibility | Real-time admin console surface. | Opaque or documented only. |
| iPaaS replacement | Flow builder plus webhook spec covers 85 to 90 percent. | iPaaS layer common. |
| Schema versioning in audit log | Every change tracked. | Partial coverage. |
| Pricing posture | Flat $29 to $119 per seat with API. | API as tier upgrade. |
The playbooks below are patterns Strkr onboarding sees across developer-first team deployments.
A 25-rep developer-tool SaaS team ran HubSpot Pro and a Workato iPaaS layer connecting HubSpot, Stripe, and the product analytics database. Workato ran $42,000 per year. Strkr onboarding ran a 16-business-day migration replacing Workato with direct Strkr flow builder integrations. The iPaaS line item closed. Monthly spend on the CRM plus integration dropped by 63 percent.
A 60-rep API-first SaaS team ran Salesforce Enterprise with Mulesoft at $90,000 per year connecting to the ERP and the data warehouse. The engineering team ran a Strkr pilot and found that direct webhook integration through the standard webhook spec covered the Mulesoft patterns. Strkr onboarding ran a 24-business-day migration. Mulesoft closed at cutover. Partner retainer closed. Monthly spend dropped by 71 percent.
A 15-rep startup chose Strkr over Salesforce for the API-first posture and the flat per-seat pricing. Strkr onboarding ran an 11-business-day migration (shorter than default because the startup had no legacy CRM). The engineering team built four direct integrations in the first month using the OpenAPI spec and the webhook spec with no iPaaS layer.
A 90-rep platform SaaS team built partner app marketplace integrations through their CRM. The legacy CRM API rate limits caused partner app failures at peak hours. Strkr onboarding ran a 24-business-day migration with rate limits visible on the admin console. Partner app error rates dropped by 94 percent after cutover because the engineering team could tune sync windows against the visible rate budget.
A 42-rep devtools team ran under a SOC 2 audit cycle and needed CRM-side audit log retention and permission scoping. Strkr onboarding ran a 20-business-day migration with service account provisioning, audit log retention tuning, and permission scoping on 54 resource types as the primary compliance wins. SOC 2 auditors approved the Strkr tenant in the first review cycle.
Book a 30 minute call. We will walk through the API surface, the webhook spec, and the direct-integration patterns with your actual integration surface and ERP, data warehouse, or product analytics layer.
The /developers page on the public site carries the API reference, OpenAPI spec download, webhook spec, SDK examples, and integration patterns. Every tenant exposes an /openapi endpoint with the current OpenAPI spec that reflects any custom objects and fields configured on that tenant. The SDK code generation works against the per-tenant OpenAPI spec for type-safe clients in TypeScript, Python, Go, Ruby, Java, and C#. Engineering teams can evaluate the API surface before talking to sales.
Rate limits publish in the OpenAPI spec by endpoint and tier. The default per-tenant limit on Starter is around 10 requests per second burstable to 20, on Pro around 25 requests per second burstable to 50, and on Scale around 100 requests per second burstable to 250, with per-endpoint overrides on heavy write operations. The admin console surfaces real-time per-tenant rate usage with historical trend. For teams needing higher sustained throughput Scale tier rate limits can increase through a dedicated engagement.
Yes. Every outbound webhook signs with HMAC SHA-256 against a per-tenant secret rotated through AWS Secrets Manager. The signature header is documented in the OpenAPI spec. Receiving systems can verify the signature against the shared secret to confirm the request origin. For teams running under SOC 2 or HIPAA the signed webhook pattern satisfies the authentication requirement without IP allowlist complexity.
For 85 to 90 percent of teams yes. The Strkr flow builder covers CRUD, HTTP webhook, email send, Strkr Messaging send, Slack, waits (duration, condition, approval), branches, call_flow, projects, and surveys across around 140 block types. For teams with a complex orchestration surface (multi-system transactional writes with rollback, multi-step data transformation with schema mapping libraries) the iPaaS layer sometimes still has a place, but 90 percent of teams find the Strkr direct integration pattern covers what they bought iPaaS for. For teams that keep the iPaaS layer Strkr integrates cleanly through the webhook spec.
Strkr runs flat per seat at $29 on Starter, $59 on Pro, and $119 on Scale, with API access, GraphQL, OpenAPI spec, webhook spec, service accounts, custom objects, and flow builder on every tier. For a 25-rep developer-first team on Pro the monthly spend runs $1,475 for seats plus $49 for AI Enhancement for a total of $1,524 per month. Add Strkr Messaging at 2 cents per SMS as needed. The API posture does not change per tier so the Starter tier team gets the same developer surface as the Scale tier team.
Sandbox tenants run separate from production tenants with schema copy and selective data copy on provisioning. The engineering team can test schema changes, flow updates, and integration changes in sandbox before deploying to production. Service account credentials are environment-scoped. For teams running a formal dev-staging-prod environment pattern the sandbox-to-prod schema promotion workflow is on the roadmap. The audit log captures schema changes with before-after state so changes can be reviewed before promotion.
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