DATPAQ

Agent-native APIs. Enterprise ready infrastructure.

[DATPAQ @datpaq]

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

[DATPAQ @datpaq]

or gives up.17 APIs. 125 composable endpoints. Agents need depth. We built it. #APIFirst #AgentNative #APIInfrastructure #AIAgents #BuildingWithAI #DeveloperTools

[DATPAQ @datpaq]

Rate limits were built for human traffic. Agents spike hard, then go quiet.A rate limit mid-task breaks the workflow. Burst limits are agent infrastructure.DATPAQ has both. #APIFirst #AgentNative #APIInfrastructure #AIAgents #BuildingWithAI #DeveloperTools

[DATPAQ @datpaq]

Most APIs were built for humans. Agents are not humans. That mismatch is about to break a lot of infrastructure. We wrote about it. Link in bio. #APIFirst #AgentNative #APIInfrastructure #AIAgents #BuildingWithAI #DeveloperTools

[DATPAQ @datpaq]

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

[DATPAQ @datpaq]

Happy father's day!

[DATPAQ @datpaq]

We just sponsored @marcelcruz.

Go sponsor your open source dependencies!

[DATPAQ @datpaq]

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

[DATPAQ @datpaq]

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.

[DATPAQ @datpaq]

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

[DATPAQ @datpaq]

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.

[DATPAQ @datpaq]

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

[DATPAQ @datpaq]

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.

[DATPAQ @datpaq]

You don’t need 10 data API vendors. Datpaq gives teams one key, one interface, and faster access to production-ready APIs.

#api #developer

[DATPAQ @datpaq]

Happy Memorial Day! 🇺🇸🇺🇸🇺🇸

[DATPAQ @datpaq]

Week one of Image Processing API on DATPAQ.

What shipped:

• Pipeline ops — resize, convert, compress, crop in one call
• WebP and AVIF output
• HEIC metadata extraction (GPS, timestamps, device)
• Prometheus + structured logging
• Flat pricing.

https://t.co/PjCy2whuMW

[DATPAQ @datpaq]

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

[DATPAQ @datpaq]

No EXIF parser. No extra library. HEIC metadata — GPS, timestamp, camera model, device ID — structured JSON in one call.

https://t.co/PjCy2whuMW

[DATPAQ @datpaq]

Storing claims as JPEG in 2026? WebP is 30% smaller. AVIF goes further. DATPAQ converts on ingest. One POST.

https://t.co/PjCy2whuMW

[DATPAQ @datpaq]

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