Now accepting early access partners

Agents Speak. Services Listen.

The universal natural language interface between AI agents and enterprise services. Connect any agent to any API — without writing integration code.

quickstart.py
from sag import Gateway

result = Gateway().query("Get revenue from Stripe")
# → { revenue: "$142,580", growth: "+44.9%" }
< 50ms
p50 Latency
10K+
Req/sec Throughput
99.99%
Uptime SLA
AES-256
Encryption
SOC 2
Compliance
Live Demo

See It In Action

Watch a real gateway session — from natural language query to structured response.

sag — terminal sessionv0.9.2 · us-east-1
The Problem

The Integration Tax

Every AI agent deployment requires custom integrations for every service it accesses. O(N × M) complexity. This doesn't scale.

Brittle Point-to-Point

Each agent-service pair needs its own auth, error handling, and data transform. One API version bump cascades failures across your entire agent fleet.

Weeks Per Integration

Engineers spend 40–60% of cycles on glue code — pagination, retries, rate-limit backoff, credential rotation — instead of agent logic.

Zero Observability

Scattered integrations mean no single pane for latency, error rates, or audit trails. Debugging a failed agent action = log spelunking across N services.

The Solution

One Gateway. Every Service.

A single intelligent layer that translates natural language intent into precise API calls. Authentication, routing, pagination, retries, and response normalization — all handled.

NLU Engine

Transformer-based intent classification, named-entity extraction, and semantic slot-filling. Resolves ambiguity via contextual dialogue state.

Intent accuracy: 97.3%
Slot F1 score: 0.94

Smart Router

Service graph traversal with cost-aware path selection. Handles multi-hop queries, automatic pagination, and parallel fan-out across services.

Routing latency: < 8ms p99
Services indexed: 120+

Response Normalizer

Schema-on-read transforms heterogeneous payloads into typed, agent-consumable structs. JSON, Protobuf, and Arrow output formats.

Output formats: JSON · Proto · Arrow
Schema inference: automatic
System Design

Architecture

A single intelligent layer between every agent and every service.

AI Agents
Claude / GPT-4oREST
LangChaingRPC
AutoGenWS
Custom AgentsREST
Gateway Core
Selected Agentic Gateway
NLU Engine
Smart Router
Auth Vault
Normalizer
Cache
Retry
Audit Log
Services
StripeREST
AWSSDK
SalesforceREST
PostgreSQLTCP
1
NL Intent
Parse & classify
2
Route
Select service + endpoint
3
Execute
Auth → Call → Retry
4
Normalize
Type → Validate → Return
Developer Experience

Before & After

Replace hundreds of lines of integration code with a single query.

Traditional · 47 lines
legacy.py
import stripe, os
from datetime import datetime, timedelta

stripe.api_key = os.environ["STRIPE_KEY"]

now = datetime.now()
start = now - timedelta(days=30)

# Fetch current period
current = stripe.Charge.list(
    created={
        "gte": int(start.timestamp()),
        "lte": int(now.timestamp())
    }, limit=100)
pages = list(current.auto_paging_iter())

# Fetch comparison period (YoY)
# Handle pagination, retries...
# Normalize response format...
# Calculate growth metrics...
# ~30 more lines of boilerplate
With SAG · 5 lines
with_sag.py
from sag import Gateway

gw = Gateway(region="us-east-1")

result = gw.query(
    "Get last 30d revenue from Stripe, "
    "compare YoY"
)

print(result.current.revenue)  # $142,580
print(result.yoy_growth)       # +44.9%
SDK & API

First-Class SDK Support

Native SDKs for Python, TypeScript, and Go — plus a REST API for everything else.

client.py@sag/sdk v0.9.2
from sag import Gateway

gw = Gateway(
    api_key="sk_live_••••7x9K",
    region="us-east-1",
    timeout=30,
)

# Single natural-language query
result = gw.query(
    "Get last 30d revenue from Stripe,"
    "break down by product line"
)

print(result.total_revenue)  # $142,580
print(result.breakdown)     # [{...}]
PyPI
pip install sag
npm
npm i @sag/sdk
Go
go get sag/sdk-go
REST
api.selectedagenticgateway.com
Applications

Use Cases

Enable agents to operate across your entire service ecosystem.

Financial Operations

Aggregate Stripe, Plaid, and QuickBooks data. Revenue reporting, reconciliation, and fraud detection via natural language.

Cloud Infrastructure

Provision EC2, query CloudWatch metrics, manage IAM — all through natural language commands to AWS, GCP, Azure.

Sales & CRM

Query Salesforce opportunities, update HubSpot pipelines, trigger Marketo campaigns — single unified interface.

Security Operations

Pull CrowdStrike alerts, manage Okta policies, query Splunk logs. Cross-platform SecOps without custom connectors.

Data Engineering

Orchestrate Snowflake queries, dbt runs, Airflow DAGs. Natural language ETL management across your data stack.

DevOps & CI/CD

Deploy via ArgoCD, read GitHub Actions logs, manage Kubernetes namespaces. Infrastructure-as-conversation.

Comparison

Why SAG

Head-to-head with traditional integration approaches.

CapabilityDirect APIAggregatorsSAG
Setup time / serviceWeeksDaysMinutes
Natural language input✗✗✓
Auto-authentication✗partial✓
Pagination handling✗partial✓
Retry + backoff✗basic✓
Response normalization✗partial✓
Multi-service fan-out✗✗✓
Agent-native SDK✗✗✓
Unified audit log✗partial✓
Security

Enterprise-Grade Infrastructure

Built for production workloads. Security and compliance at every layer.

TLS 1.3 + AES-256

End-to-end encryption in transit and at rest. Zero plaintext credential storage.

SOC 2 Type II

Audit in progress. Controls mapped to AICPA Trust Services Criteria from day one.

RBAC + ABAC

Per-agent, per-service permission policies. Attribute-based access control for fine-grained governance.

Immutable Audit Log

Every request, routing decision, and response logged to append-only store with tamper-evident checksums.

99.99% Uptime SLA

Multi-AZ deployment across us-east-1, eu-west-1. Automated failover with &lt;30s RTO.

VPC Peering

Private connectivity to your infrastructure. No public internet traversal for sensitive workloads.

Credential Vault

HashiCorp Vault-backed secret management. Auto-rotation, lease management, dynamic credentials.

24/7 Incident Response

Dedicated SRE team. PagerDuty-integrated alerting. Named account engineers for enterprise clients.

Under the Hood

Technical Specifications

Protocols

✓ REST / HTTP 1.1 & 2
✓ GraphQL (queries & mutations)
✓ gRPC (unary & streaming)
✓ WebSocket (bidirectional)
✓ TCP (database protocols)

Auth Methods

✓ OAuth 2.0 (PKCE, client_credentials)
✓ API Key (header, query, bearer)
✓ JWT (RS256, ES256)
✓ mTLS (client certificates)
✓ SAML 2.0 / OIDC federation

Performance

p50 Latency38ms
p99 Latency120ms
Throughput12K req/s
Concurrent Conns50K

SDKs

✓ Python 3.9+ (pip install sag)
✓ TypeScript / Node 18+ (@sag/sdk)
✓ Go 1.21+ (sag/sdk-go)
✓ Rust (sag-rs, coming soon)
✓ REST API (OpenAPI 3.1 spec)

Infrastructure

✓ AWS (us-east-1, eu-west-1)
✓ Kubernetes (EKS) orchestration
✓ Redis cluster (session + cache)
✓ PostgreSQL 16 (metadata store)
✓ Prometheus + Grafana (observability)

Output Formats

✓ JSON (default, streaming support)
✓ Protocol Buffers (binary, typed)
✓ Apache Arrow (columnar, analytics)
✓ CSV (flat export)
✓ Custom schemas (JSONSchema def)

Ready to Connect Your Agents?

Join the early access program. We're onboarding design partners now.

Or reach us at contact@selectedagenticgateway.com