Launching Soon

SOFTIX.
One API for all AI.

Universal OpenAI-compatible gateway. Every model, every provider — plus a unified SQL layer for agent data access. Zero overhead.

OpenAI compatible · Agent SQL layer · Pay as you go

The Gateway

Your AI
command center.

Route requests to any model. Track every token. Automatic failover and key rotation, all in real-time.

SAPI Dashboard● Live
142M
Tokens Routed
+24%
99.9%
Uptime
SLA
18ms
Avg Latency
Groq
$0.34
Avg Cost/1K
↓12%
ModelProviderTokensLatencyCost
gpt-4oOpenAI2,847312ms$0.028
claude-3.5Anthropic1,204425ms$0.018
llama-3.1-70bTogether3,91289ms$0.004
mixtral-8x7bGroq85618ms$0.001
gemini-1.5Google5,120280ms$0.006
Platform

We remove the friction from every AI call.

SAPI's gateway normalizes every provider, rotates keys automatically, and tracks every token — while our upcoming agent data layer replaces brittle tool chains with one SQL interface.

OPENAI
ANTHROPIC
GROQ
TOGETHER
GOOGLE
OPENROUTER
Capabilities

Build your AI infrastructure

Three pillars — inference routing, key pool management, and unified agent data access.

01

Universal
Gateway

One endpoint for every AI model. OpenAI-compatible API that works with Cursor, LangChain, and any SDK.

02

Key Pool
Mastery

Managed key pool with automatic rotation, credit tracking, and circuit breaker failover. Zero downtime.

Soon
03

Agent
Data Layer

Query GitHub, Linear, Datadog, and more through SQL. Cross-source JOINs, MCP-ready, fewer tool calls.

S
SAPI
Drop-in replacement

More models.
Faster.

Change one line of code to unlock every AI model. Your existing OpenAI SDK, Cursor, LangChain — everything just works.

python● ready
from openai import OpenAI

# Change the base URL
client = OpenAI(
api_key="sk_live_xxx",
base_url="https://api.sapi.dev/v1"
)
Agent Data LayerLaunching Soon

One SQL interface for every data source.

AI agents shouldn't call APIs one tool at a time. Query GitHub, Linear, Datadog, Stripe, and your files through a single read layer — fewer tool calls, cleaner results, cross-source reasoning without hand-stitched prompts.

agent queryread-only
-- Cross-source join in one query

SELECT a.issue_id, a.url, p.state, p.title
FROM linear.attachments a
JOIN github.pulls p
ON p.html_url = a.url
WHERE p.state = 'open'
AND a.project = 'platform'

→ 12 rows · 340ms · 1 tool call

The problem

  • Too many tool calls per agent turn
  • Repeated auth, pagination, and retry logic
  • Poor cross-source reasoning
  • High token traffic from sprawling JSON
  • Brittle glue code in every prompt

The Softix approach

  • Query live APIs through SQL
  • JOIN across sources in one statement
  • Expose the same runtime over MCP
  • Tabular rows — only the columns you need
  • Credentials stay in your trust boundary

Connect your stack

GitHubLinearDatadogSentryStripeSlackJSONLParquet

Lower agent cost

42%

Less latency

1

Query interface

6+

Providers

50+

Models

99.9%

Uptime SLA

<20ms

Routing Overhead

Ship faster,
pay less.

The gateway is live. The agent data layer is launching soon — one platform for inference and operational data.

Join Early Access

Launching soon · No credit card required

SAPI — One API. Every model. Zero overhead.