What it actually costs to build HockeyStack internally.
Build cost calculator
Systems to integrate
Select every system your Revenue Agent would need to read or write to.
Usable by one team. Works on ~70% of real deals. Requires manual cleanup on the rest.
Before any deal output reaches a rep.
Plus ~0.5 FTE engineering to maintain.
API cost scales with both team size and the number of systems you integrate. More systems = more context per reasoning call = higher per-call token usage.
WHAT THE CALCULATOR DOESN'T SHOW
Engineering you haven't scoped yet
Identity resolution across 12 systems. Event-chain architecture. Multi-layer ML pipeline. Deterministic agent compilation. Feedback loops. Observability. These aren't checklist items. They're the actual product. Most internal builds stop at 'it worked on one deal in a demo.'
What it takes to keep it working
Sales process changes. New stage definitions. A CRM field cleanup. A new segment. A product launch. Every one requires prompt updates, test reruns, calibration. The internal build needs a permanent half-headcount of engineering just to not degrade. That engineer gets pulled. Quality degrades. Reps stop trusting it. The tool becomes shelfware by month 9.
What you can't build in-house
Cross-customer pattern data. An SLA with your own engineering team. The compounding flywheel of every customer making every other customer better. An internal build is frozen at launch quality. HockeyStack is 3x better 180 days from now. The gap widens.
Methodology
The numbers in this calculator come from four sources. Here's where each comes from and the assumptions behind it.
| Input category | Source | Key assumption |
|---|
What one reasoning action costs
At Anthropic list rates for a blended Opus (60%) + Sonnet (40%) workload. This is what an internal build would pay per action — HockeyStack's realized cost is lower through prompt caching, model routing, and enterprise volume contracts.
| Action | Input tokens | Output tokens | Cost per action |
|---|
Assumed action frequency per deal per month — Production tier
Assumes each rep has ~100 accounts total at production tier: approximately 40 active deals and 60 target accounts. Below shows how often each action fires. Lower tiers assume both fewer accounts per rep and less frequent actions — Pilot-ready is ~80 accounts per rep, Demo is ~60.
| Action | Frequency | Per-deal monthly cost |
|---|
At 100 reps with 40 active deals each = 4,000 deals × $17.95 = ~$72K/month for deal-level reasoning alone. Prospecting, at 60 target accounts per rep, adds another ~$37K/month. Full production workload approaches $1.3M/year at list rates.
Not included in the visible number: the opportunity cost of engineers not shipping customer-facing features, typically estimated at 1-2x direct engineering cost.
All numbers are directional. Your actual build cost depends on team quality, scope discipline, and factors we can't model.
Stop debating. Start running real numbers.
Or talk to our solutions team about what your specific build actually looks like.
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