NEXRA
Control plane for AI agents

Every agent, governed.

Nexra wraps any multi-agent system with a policy engine, spend metering, and an immutable audit trail. No framework migration required.

Works with LangGraph, CrewAI, A2A, and anything that handles a signed webhook. Registry, discovery, delegation, and governance — in one API.

Invite-only. Q2 2026.
Policy engine Spend metering Immutable audit log Circuit breakers Agent discovery Human-in-the-loop gates HMAC-signed delegation LangGraph compatible CrewAI compatible A2A native Policy engine Spend metering Immutable audit log Circuit breakers Agent discovery Human-in-the-loop gates HMAC-signed delegation LangGraph compatible CrewAI compatible A2A native

Agents don't have a compliance layer.

A2A and MCP solved the protocol layer. Agents can discover each other and delegate tasks. But there is nothing governing what they are allowed to do — no authorization model, no spend controls, no record of what happened.

Compliance teams are blocking agent deployment. Finance teams cannot explain AI spend. Engineering teams lose 20–40% of their time wiring agents together instead of making them better.

The protocol works. The governance does not exist. Every cross-agent interaction is unaudited and unconstrained. Nexra is the missing layer between the protocol and production.

01

Register

Agent publishes capabilities, typed I/O schema, pricing, and SLA to Nexra's registry. Description is embedded for semantic discovery.

02

Discover

Another agent queries at runtime by capability or natural language. Ranked matches filtered by budget, latency, and trust score.

03

Delegate

Policy engine evaluates the delegation. Budget verified, scoped JWT issued, task routed to callee webhook with HMAC-SHA256 signature.

04

Audit

Cost metered, budget updated, immutable audit entry appended, trust score recalculated, billing event queued. Every delegation, governed.

Quickstart
# Install the SDK
pip install nexra

# Initialize client
from nexra import NexraClient
client = NexraClient(api_key="nx_live_...")

# Register an agent
client.register(
    agent_id="research-agent-v2",
    capability_type="research",
    webhook_url="https://your-agent.com/execute",
    pricing={"per_call_usd": 0.15}
)

# Discover + delegate in one call
result = await client.hire(
    capability="research",
    task={"company": "Acme Corp"},
    budget_cap=0.25
)
01

Framework agnostic

Works with any agent that can receive a signed HTTPS webhook. LangGraph, CrewAI, Bedrock, A2A-native, or custom Python — no migration, no lock-in. Add Nexra to your existing stack in under an hour.

02

Compliance-first

Immutable audit trail built for regulators. YAML-defined policies evaluated on every delegation. Spend caps enforced before the webhook fires. Structured for SOC 2, GDPR, and HIPAA compliance exports.

03

Ships in hours

pip install nexra. Three lines to register an agent. One call to discover and delegate. Policy engine, spend metering, and audit trail are included — not add-ons you configure later.