Browse, filter, and hire GTM operators at scale
A searchable library of agents with clear inputs, decisions, and outputs. Find the operator that matches your stack and hire with confidence.
Operators with proof, not vibes
- Every agent lists inputs, decisions, and outputs.
- Filter by stage, team, or tool stack in seconds.
- Hire through a governed delivery workflow.
Agent library
Find the exact agent you need
Search by outcome, stack, or stage. Scale from a handful of agents to a full operating roster.
Turns ad, site, email, and CRM exhaust into a clean telemetry stream for downstream agents.
- Normalized signal feed
- QA alerts
- Unified activity timeline
Classifies leads into intent states using behavior sequences, timing patterns, and firmographics.
- Intent labels
- Priority queue
- Reason codes
Applies fit, intent, and capacity rules to route leads and exceptions automatically.
- Owner assignment
- Suppression lists
- Decision logs
Tracks narrative over time and triggers lifecycle transitions without losing context.
- Lifecycle timeline
- Next-best-play cues
- Churn flags
Blocks unsafe actions, logs every decision, and keeps AI within compliance boundaries.
- Audit trails
- Compliance gates
- Explainability records
Audits routing, scoring, and lifecycle workflows with automated QA checks.
- QA reports
- Drift alerts
- System health score
Detects usage decay, ticket velocity, and sentiment shifts to trigger retention plays.
- Churn risk flags
- Playbook triggers
- CSM alerts
Enriches firmographics, tech stack, and buying signals before scoring or routing.
- Enriched account records
- Coverage reports
- Field validation
Updates HubSpot deal stage probabilities using historical conversion, cycle time, and deal velocity by segment.
- Stage probability matrix
- Forecast accuracy lift
- Deal health alerts
Combines intent, fit, and engagement to rank ABM accounts for sales pods.
- Account rankings
- Sales pod queues
- Reason codes
Reconciles channel attribution and cohort reporting across paid, organic, and partner data.
- Attribution model
- Cohort views
- Spend QA alerts
Monitors usage, triggers in-product and sales plays, and surfaces friction moments.
- Activation triggers
- Upsell cues
- Friction alerts