Agent repos with a cost defect76%
The Ultimate Agentic AI budget control room.
Give every agent an identity, a budget, and a hard limit enforced before the provider call. One line of code.
EnvelopesSpendRouting
Search agents
Budgets
Agent envelopes
Hard limits, checked before every provider call
data_extractor
$412 of $500 this month · block at limit
planner
$231 of $500 this month · block at limit
support_triage
$486 of $500 this month · block at limit
summarizer
$58 of $250 this month · downgrade at limit
support_triage call blocked at $500
Works with the 13 providers your agents already call.
Anthropic
OpenAI
Gemini
DeepSeek
Mistral
Bedrock
Groq
Kimi
From our repo scan
- Public repos scanned133
- Files read10,350
- Making live LLM calls51
- Agents discovered293
- Prompts defeating caching347
- Repos with a cost defect76%
One line of code for your whole agent fleet.
Hard limits, checked before the call.
We did not assume the problem.
We measured it in 133 public agent repositories.
Cost defects
76% of agent repos making live calls ship at least one cost defect
- LLM-active repos with a defect
- 39 of 51
- LLM-active repos with a defect
- public repos scanned
- 133
- public repos scanned
Prompt caching
347 system prompts are rebuilt by interpolation, which defeats caching
- call sites
- 347
- call sites
- repositories affected
- 0
- repositories affected
Premium models in tests
Premium models were running inside test suites in 5 of 51 repos
- instances found
- 0
- instances found
- of LLM-active repos
- 10%
- of LLM-active repos
Agents discovered
293 agents discovered across 42 repositories
- median agents per repo
- 0
- median agents per repo
- in the largest repo
- 91
- in the largest repo
Built to stay out of your call path.
Tracking never blocks. Enforcement fails open.
13
providers, one SDK
1 line
to adopt, no call sites changed
500ms
background flush, off your call path
Built for every team that ships agents.
Six industries, six roles, one bill.
AI-native SaaS. The model call is the product.
Read the AI-native SaaS pageCustomer support. Deflection bots and ticket triage.
Read the Customer support pageDeveloper tools. Coding agents and code review.
Read the Developer tools pageFinancial services. Research agents under review.
Read the Financial services pageHealthcare. Documentation and intake agents.
Read the Healthcare pageLegal. Review and discovery agents.
Read the Legal pagePlatform engineers. You own the paved road.
Read the Platform engineers pageAI engineers. You build the agents.
Read the AI engineers pageEngineering leaders. You answer for the number.
Read the Engineering leaders pageFinance and FinOps. You allocate and forecast it.
Read the Finance and FinOps pageFounders. You are pricing the product.
Read the Founders pageProduct managers. You decide what ships.
Read the Product managers pageThe invoices nobody expected.
Useron Hacker News“The unpredictability is worse than the absolute cost.”
Capsera’s answer: Burn-rate forecasts with a projected exhaustion date
Authoron dev.to“One of my agents decided to call the same tool 47 times in a loop. In production.”
Capsera’s answer: Anomaly detection flags the spike the same day
- Useron the OpenAI Forum
“The usage dashboard doesn't work because we use the same key for all customers.”
Capsera’s answer: Cost attributed per agent, team, and customer
Useron GitHub“Enforcement/blocking is bypassed.”
Capsera’s answer: Enforcement in the call path, not a dashboard warning
Authoron Substack“The marginal cost of serving one more query does not approach zero.”
Capsera’s answer: Gross margin per customer, not just total spend
- Supporton the OpenAI Forum
“Project limits are no longer hard limits, and are notification only.”
Capsera’s answer: Hard limits that stop the call, not just alert on it
