siftq
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About

Built for agents
that need sources.

SiftQ is a fast retrieval and search API for teams building AI products that need fresh, structured web context without turning search into a separate workflow.

Company

Operated by
FUTURE STUDY SPACE PTE. LTD.

FUTURE STUDY SPACE PTE. LTD. builds SiftQ as infrastructure for AI applications that need reliable retrieval from the public web. The product is intentionally narrow: one search endpoint, multiple scopes, structured output, and developer documentation that makes the behavior easy to inspect before integrating.

Product
SiftQ Search API
Legal entity
FUTURE STUDY SPACE PTE. LTD.
Focus
Fast retrieval and structured search for AI agents
Primary endpoint
https://api.siftq.com/v1/search
Contact
[email protected] (placeholder)
How we think

Search should feel
native to agents.

Retrieval should be fast enough to stay in the loop

Agents do not have time for a slow research pipeline on every turn. SiftQ is designed around low-latency retrieval, concise snippets, and structured responses that can be used directly inside model context.

Search output should look like product infrastructure

The API returns predictable fields, scope-specific result arrays, scores, citations, and optional raw content. The goal is to remove the parser glue that usually sits between search engines and AI applications.

Public web context should be practical, not ornamental

We focus on the places where fresh external context changes the answer: RAG systems, autonomous research, competitive monitoring, compliance workflows, and multi-modal discovery.

Contact

Building with
SiftQ?

Contact email setup is in progress. [email protected] is reserved as the public inbox once domain email is ready.

Email pending