Intercis vs. Langtrace

Langtrace monitors cost and performance. Intercis enforces security and compliance. Cost optimization and governance are complementary concerns.

Capability Intercis Langtrace
Primary function Policy enforcement & compliance LLM cost & performance observability
Deployment model Intercept proxy (zero code changes) SDK integration (open source)
Tool call interception ✅ Real-time deny/allow/observe ❌ Observes LLM calls
Agent identity validation ✅ Per-agent registry + tool scopes ❌ Not agent-identity focused
Tamper-evident audit trail ✅ Policy decision logged per call ⚠️ LLM call traces
OWASP Agentic AI coverage 14/17 threats ❌ Not security-focused
Kill switch ✅ Manual: deactivate agent, proxy denies calls ❌ Not applicable
SOC2/ISO 27001 evidence ⚠️ Audit log export; no SOC2/ISO packages ❌ Not compliance-focused
Pricing Contact for pricing Free (open source) + cloud

Better together

Langtrace monitors what your LLM calls cost and how they perform. Intercis monitors what your agents are allowed to do and whether they comply with policy. Together: Langtrace optimizes the economics; Intercis handles the security and compliance.

Who should use Langtrace?

Teams focused on LLM cost optimization, latency monitoring, and operational efficiency. Langtrace excels at making LLM usage transparent and cost-effective. Great for open-source-first teams.

If your primary concern is understanding and controlling LLM costs—token usage, latency tracking, model usage patterns, cost per request—Langtrace provides the instrumentation you need. As an open-source platform with a managed cloud option, Langtrace appeals to teams with budget constraints and infrastructure control preferences.

Who should use Intercis?

Teams that need security governance, compliance evidence, and policy enforcement for agents with production infrastructure access. When the primary concern is safety and compliance, not cost.

Choose Intercis if your agents can access production systems, modify data, trigger workflows, or make business-critical decisions. You need real-time enforcement before an agent executes a tool call, not visibility into LLM costs after the fact.

Intercis covers 14 of 17 OWASP Agentic AI threats and maintains an append-only, hash-chained audit trail of policy decisions. Cost monitoring is valuable, but governance is non-negotiable for production agents.

The Key Difference

Langtrace answers "how much did this cost and how fast was it?" It tracks token usage, latency, model selection, and cost attribution per request or agent.

Intercis answers "was this agent allowed to do that?" It enforces policy before actions execute and records policy decisions to an append-only, hash-chained audit trail.

Cost and security are both important, but they require different tooling. Langtrace optimizes spend; Intercis prevents unauthorized actions. Production agents need both.

See Intercis in action

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