Agent Data Infrastructure

SOFTIX.
One query for every agent.

Agents shouldn't burn a dozen tool calls to answer one question. Query GitHub, Linear, Datadog, Stripe, and your own files through a single SQL interface — exposed over MCP, built on infrastructure that already routes millions of AI requests.

One SQL interface · MCP-native · Fewer tool calls

The ProductLaunching 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

2×

Lower agent cost

42%

Less latency

1

Query interface

Capabilities

Build your agent infrastructure

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

Soon
01

Agent
Data Layer

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

02

Universal
Gateway

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

03

Key Pool
Mastery

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

The Gateway

The infra proof
behind the pitch.

Millions of requests already route through this engine — automatic failover, key rotation, and token-level tracking in real-time. It's the same reliability layer the agent data product is built on.

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
The Engine Underneath

The same reliability engine, pointed at your data.

Softix's inference gateway already normalizes every provider, rotates keys automatically, and tracks every token at scale. The agent data layer runs on that same battle-tested infrastructure — proven reliability, now applied to your APIs instead of your models.

OPENAI
ANTHROPIC
GROQ
TOGETHER
GOOGLE
OPENROUTER
S
SOFTIX
Drop-in replacement

The engine underneath
it all.

The same gateway that will power the agent data layer. 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.softix.in/v1"
)

12→1

Tool Calls to One Query

8+

Connected Sources

99.9%

Uptime SLA

<20ms

Routing Overhead

Stop stitching APIs.
Start querying.

The gateway is live and already routing production traffic. The agent data layer is launching soon — join early access to query your stack in SQL before anyone else.

Join Early Access

Launching soon · No credit card required

SOFTIX — One query for every agent.