/ / trust + visibility layer

Stop Guessing,
Start Tracing.

The first AI Tracer that turns “Black Box” LLM calls into a secure, auditable, and cost-optimized asset. Prove every response. Track every penny. Secure every prompt.

audit_vault::live_ledger

sess_7xk2m9qf · UTC · 412ms tick

streamencAES-256-GCM

signal_matrix

::trust_planeACTIVE
::vault_replicaSYNCED
::p95_edge24ms
::hash_chainSHA-256
::cost_ledgerREALTIME
::latency_watchMAD·Z
ingest · pythonRO RW

01 # sealed wrapper

02 from aitracer import TraceabilityWrapper

03 ···

04 client = TraceabilityWrapper( openai_client, group="production")

05 # vault handshake · OK

SYS · Auth0 · Stripe · Prisma · dashboard routes · AITracer

tracked calls

1,248+

tokens observed

382K+

spend tracked

$132.40

Execution → processing → verification → proof

Every AI execution becomes a verifiable record

Trace runtime behavior, attach governance signals, generate cryptographic receipts, and preserve audit-ready evidence automatically.

Live execution telemetry

Cost

$0.000

Tokens

0 tokens

Latency

24ms

Proof generation engine

Processing
  1. Canonical payload
  2. SHA-256 generation
  3. Signature creation
  4. Verification complete

Generating payload hash…

Execution lifecycle

  • 1

    Model request received

  • 2

    Prompt execution completed

  • 3

    Cost metadata attached

  • 4

    Governance scan completed

  • 5

    Verification receipt issued

system manual

The original AITracer control room, adapted for Next.js routing.

AITracer
control core

event stream · live

  • > calculating cost
  • > measuring latency
  • > record complete
  • > scanning payload

Integrity plane

SHA-256 integrity

hash OK
  • Payload hash generation
  • Tamper detection
  • Verification metric

Governance plane

Policy risk detection

RISK-Σ
  • PII detection
  • Policy heuristics
  • Risk classification

Economics plane

Cost intelligence

$ / run
  • Token tracking
  • Workflow spend attribution
  • Execution cost metrics

Performance plane

Latency monitoring

P95
  • P95 latency
  • Provider bottlenecks
  • Anomaly detection

Integrates in seconds, not hours.

Connect AITracer to existing AI workflows without rebuilding your application stack. Capture provenance, cost activity, latency signals, policy outcomes, and verification records across every model interaction.

Rapid Integration
Connect AITracer to existing LLM, agent, and orchestration workflows with minimal implementation changes.
Audit-ready records
Generate tamper-evident execution records using canonical JSON, SHA-256 hashing, and verification metadata.
Cost Intelligence
Monitor token spend, latency trends, model distribution, and operational efficiency across teams and workflows.

A secure visibility layer for production AI.

AITracer helps security, legal, product, and engineering teams understand exactly what AI systems did, what they accessed, and why decisions were made-without compromising sensitive data workflows.

Policy Packs
Evaluate PII exposure, cost thresholds, policy violations, and operational risk before execution records are stored.
Integrity Verification
Recalculate hashes and validate execution records to prove stored AI activity has not been altered.
Governance Controls
Route high-risk executions through approvals, review workflows, and operational controls before actions are finalized.
Policy scan active
A secure visibility layer for production AI.
Operational intelligence

Trace execution. Verify decisions. Control AI economics.

AITracer converts every model interaction into measurable operational intelligence—tracking cost attribution, token efficiency, model allocation, and latency performance through the same tamper-evident execution record.

Active signals

cost anomaly detected

Live pipeline

P95 Latency

23ms

Trace Capture

Token Efficiency

-19%

Governance

Cost Attribution

$12.3k

Cost Intelligence

Verification

SEALED

Verification

Model Allocation

91% opt

Audit Storage

Secondary signals

PII detection
Latency anomaly detection
Audit logs
Model attribution
Policy enforcement
PII detection
Latency anomaly detection
Audit logs
Model attribution
Policy enforcement
Use cases

Built for teams operating production AI systems.

AITracer gives engineering, security, compliance, and platform teams a shared operational record across every model interaction.

PII Detection
Latency
Audit Logs
Policy
Attribution

Shared AI Operational Record

Platform Engineering

Live

Security Operations

Monitored

Compliance & Legal

In Sync

Product / Finance

Streaming

Applied AI Engineering

Verified

Infrastructure Leadership

Active