AI & ML integration

Semanticscholar integration for AI agents

Insiro connects AI agents to Semanticscholar so they can act in it under your rules. Semantic Scholar is an AI-powered academic search engine for scientific literature. It helps researchers quickly discover, analyze, and understand research papers across disciplines. Every Semanticscholar action runs through Insiro's governed gateway, using each person's own connection (API key).

What can AI agents do with Semanticscholar?

With Insiro, agents can call models and AI services as steps in a pipeline, compare outputs and keep the best result, enrich records with generated summaries and route requests to the right model by cost, all inside the permissions you set for Semanticscholar.

  • Call models and AI services as steps in a pipeline.
  • Compare outputs and keep the best result.
  • Enrich records with generated summaries.
  • Route requests to the right model by cost.

A journey through Insiro

Semanticscholar logo SemanticscholarInsiroNotion

Example: Semanticscholar → Insiro → Notion to write generated research into a shared doc. Insiro checks permissions, applies approvals and records the evidence at every hop.

Frequently asked questions about Semanticscholar

Can Insiro AI agents use Semanticscholar?

Yes. Insiro connects AI agents to Semanticscholar through its governed MCP gateway. Agents can call models and AI services as steps in a pipeline and compare outputs and keep the best result using each person's own Semanticscholar access, with read-only as the default and approvals for actions that change data.

How does Insiro connect to Semanticscholar?

Semanticscholar connects with API key. Each user connects their own account once; Insiro stores the credential encrypted and brokers it to the tool only at the moment of a call, so models never see it. Admins can also register a workspace-level connection.

Can I make Semanticscholar read-only for agents?

Yes. In Insiro Governance, set Semanticscholar to Off, Read only, or Read and write in a click. Write actions can require confirmation or owner approval by risk tier, and every call is logged with the user, tool, tokens and cost.

Put Semanticscholar to work with governed AI agents.

A 30-minute working session: we connect one data source and one app, then run a governed agent on a task you choose.

  • 13governance checks on every agent tool call
  • 1,700+SaaS apps agents can act in
  • 30+data dialects for plain-English questions