We build deterministic agentic systems on HubSpot, not magic. Every webhook payload is validated against a strict schema, and rate limits are enforced via circuit breakers.
Webhooks are the nervous system. Each incoming payload is parsed, validated against a predefined JSON Schema, and checked for idempotency keys to prevent duplicate processing. Failed validations trigger dead-letter queues with full audit trails.
Rate limits are hard constraints. We implement token bucket algorithms that pre-calculate remaining calls from HubSpot's headers (`X-HubSpot-RateLimit-*`). When capacity approaches 80%, the system backpressures by queuing non-critical tasks. Critical paths have reserved capacity contracts through HubSpot's API escalation process.
Data sync uses incremental snapshots via HubSpot's CRM search endpoints. Changes are detected through `lastModifiedAt` timestamps and synchronized to a local deterministic store. Conflict resolution follows a last-write-wins strategy with version vectors. Every mutation is logged for replay.
Agent API keys are scoped to the minimum required object types and actions via HubSpot's OAuth scopes or private app permissions. Each agent gets a distinct token, never shared. Tokens are rotated daily using automated scripts, with revocation on anomaly detection.
User impersonation is avoided. Agents operate under a dedicated system user with role-based access (e.g., 'agent:write' and 'agent:read' roles). Audit logs at the object level track every `create`, `update`, or `delete` initiated by the agent. Fine-grained ACLs prevent agents from accessing sensitive fields like email or phone unless explicitly granted.
Each webhook includes a unique event ID. Our system deduplicates based on that ID and a local bloom filter. Duplicates are dropped silently, ensuring exactly-once semantics for critical workflows.
No. We enforce HubSpot's scope-based OAuth tokens per agent. Additionally, all mutations are gated through a policy engine that checks the action against the agent's permission manifest before sending the API call.
Non-critical tasks are queued with exponential backoff. Critical operations (e.g., deal closure) are routed to a separate rate-limit pool with reserved capacity. We monitor remaining limits and alert when thresholds are crossed.
Engineering services
Custom AI Agents · HubSpot is the kind of workflow we build as an AI agent system: deterministic checks, human checkpoints, and an audit trail operators can trust. We start from your real process boundaries and ship software that holds up in production.
We build production-ready, highly observable agentic systems engineered for enterprise scale. No black boxes, no magic—just systematized workflows with systemic safeguards.
We don't build fragile wrappers. Complex decisions and exceptions are automatically routed to your team for approval, ensuring zero unverified actions in production.
Every AI-generated output is validated against deterministic, programmatic rules before execution, guaranteeing structural integrity and compliance.
Our architecture records every state change, agent reasoning step, and user interaction, providing complete observability into your automated workflows.
Built for enterprise scale. We optimize for high-throughput, low-latency execution using edge infrastructure and efficient state management.
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