API calls disappear into logs.
Capture requests, responses, latency, cost, errors, and user journeys as first-class traces — searchable and structured.
ApEye gives engineering and risk teams one control plane for API traffic, service calls, policies, evaluations, cost, and audit evidence — from development to production.
Works with the API stack you already use
Capture requests, responses, latency, cost, errors, and user journeys as first-class traces — searchable and structured.
Enforce deterministic policy before data access, routing, partner calls, or external communication. Stop threats in real time.
Generate reviewable evidence for approvals, incidents, red-team findings, and vendor governance reviews — automatically.
ApEye sits beside your gateway, services, and app stack so teams can debug behavior, reduce spend, and enforce controls — without slowing product teams down.
Trace requests across services, endpoints, sessions, users, and environments. Full span hierarchy with searchable metadata.
Track regressions in quality, reliability, latency, and cost as endpoints, schemas, and routes change over time.
Apply allow, block, redact, require-approval, and route policies before sensitive actions execute. Deterministic and auditable.
Break down spend by product, team, customer, service, endpoint, and route. Set budgets with automatic enforcement.
Preserve decision logs, policy versions, approvals, and incident timelines for SOC 2, ISO 27001, and governance reviews.
Feed routing decisions with live performance, service quality, availability, and policy context across your API fleet.
A closed-loop framework that turns raw API traffic into structured, policy-enforced, evidence-backed operations.
Standardize endpoint, payload, identity, service, user, and business context across all API traffic automatically.
Score payload, identity, destination, requested data, and route intent before execution in under 50ms.
Redact, block, route, rate-limit, or require approval with deterministic, version-controlled policy rules.
Export incident timelines, policy history, and audit packets without rebuilding context from scratch.
# One-line integration — no code changes required
from apeye import ApEye
# Wrap your existing API client
client = ApEye(
api_key="ap-...",
policy="production-v2",
audit=True,
).wrap_api(base_url="https://api.example.com")
# All requests are now traced, governed, and evidenced
response = client.post(
"/v1/orders",
json={"customer_id": customer_id, "items": items},
)
# ApEye captured: trace, policy decision, cost, evidence ✓
Drop ApEye into your existing infrastructure. Works with major gateways, frameworks, observability tools, and data platforms.
ApEye is deployed into your infrastructure with your network boundaries, identity controls, data retention policy, and operating procedures.
For teams standardizing governance across cloud-hosted API gateways and service meshes.
For organizations that require software to run inside internal networks with direct operational ownership.
For regulated industries, isolated environments, and teams with strict evidence and retention requirements.
Deploy ApEye where your API traffic already lives, with the evidence your security, compliance, and operations teams need.