Every API company is suddenly “agent-ready.” A new SDK. An agent mode. A robot in the header. Usually, it’s the same platform with an AI layer bolted on top. We didn’t do that.
Agent-native isn’t a feature — it’s the foundation.
→ https://t.co/Ocq9GW3IKh
Four new API's added to the catalog, and more on the way:
• https://t.co/InnAHWtcLD
• https://t.co/RIENOP3DT3
• https://t.co/zyonWCTAVn
• https://t.co/akGIC1zvL2
Agent-ready is an adaptation.
Agent-native is a foundation.
DATPAQ is an agent-native API platform — 13 APIs, 100+ actions, MCP + CLI native, built for agents from day one.
Two years to get here. We’re here.
→ https://t.co/Ocq9GW3IKh
A human hits a rough API edge and works around it. An agent just fails. If your platform assumes a human in the loop, it was never built for agents. DATPAQ was.
Our MCP server and CLI weren’t bolted on after the fact.
They’re native to the platform — because the platform was built for agents from the start.
→ https://t.co/Ocq9GW4gzP
#datpaq#mcp#cli#api
Agents don’t want to retrieve data.
They want to act on it. Combine it. Automate it.
That’s the difference between a catalog of thin APIs and a platform built for agents.
Most APIs were built for humans — who read docs, jump between services, and patch the gaps.
Agents can’t.
Agents need capabilities, not endpoints.
13 APIs. 100+ actions. Built to get work done.
→ https://t.co/Ocq9GW3IKh
Agent-ready” is a layer you add.
“Agent-native” is what you build on.
One is an adaptation. The other is a foundation. We chose the foundation two years ago.
Built-in observability on the DATPAQ Image Processing API:
→ Prometheus metrics endpoint
→ Winston structured logging
→ Correlation ID on every request.
Every processing call is traceable.
Production-grade from day one.
https://t.co/PjCy2whuMW
Every photo on a mobile device carries GPS, timestamp and device ID. DATPAQ pulls it into structured JSON before format conversion strips it. Audit-ready.
https://t.co/PjCy2wi2Cu