Usedge
Research Agents

A marketplace of AI agents — built for research

Pick from a library of ready-made research agents, configure your own with custom instructions and capabilities, then chain them into agentic workflows that run your research pipeline automatically.

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app.usedge.com/agents/marketplace

Agent Marketplace

Discover, chain and deploy AI research agents

Search agents…
2.4k uses

Report analyzer

Extracts atomic highlights from any research report in seconds.

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1.8k uses

Taxonomy manager

Keeps tags consistent and merges duplicates across studies.

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3.1k uses

Protocol evaluator

Drafts a structured protocol from a single research objective.

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962 uses

Research protocol evaluator

Scores protocol rigor and flags bias before you launch.

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Trusted by enterprises that can't afford research slop

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Agent Marketplace

Ready-made agents for every research task

A curated library of research agents — organised by domain, deployable in one click, maintained by Usedge. Use them as-is or build on top.

ResearchOps

Taxonomy Manager

Audits your tag taxonomy, flags gaps and redundancies, and proposes a clean structure across every study.

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ResearchOps

Repository Curator

Dedupes overlapping insights, suggests merges, and keeps the repository searchable so past research is reused, not re-run.

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ResearchOps

Intake & Triage Assistant

Qualifies and prioritises incoming research requests, routes them to the right template, and keeps the queue moving.

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Guardian

Protocol Guardian

Reviews every protocol against your best-practice standards before launch — blocks low-quality studies at the source.

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Guardian

Segmentation Guardian

Checks each new study applies a segmentation template; pauses and asks the researcher to confirm the target segment if it's missing.

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Guardian

Privacy & Consent Guardian

Verifies consent is captured and flags GDPR risks — anonymisation vs deletion, retention windows, PII exposure.

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Day-to-day

Highlight Extractor

Turns raw transcripts and sessions into verbatim highlights and atomic insights automatically, saved to the repository via MCP.

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Day-to-day

Stakeholder Digest Writer

Rolls new studies and insights into a stakeholder-ready summary and posts it to your team channel on completion.

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Skill increase

Research Coach

Guides PMs and designers running their own studies — suggests methods, sharper questions, and flags bias as they build.

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Configure Agent — Report analyzer

Report analyzer

agent_ra_7f2c91d4

Analyze reports and qualify highlights from the document.
Research & Development
A
claude-sonnet-4-6

Run Code

Code Interpreter

Web Search

Search the web in real time

File Context

Read uploaded documents

Custom agents

Build your own agent in minutes

Name it, describe it, write its instructions, pick a model, and toggle the capabilities it needs — code interpreter, web search, file context. Your agent is live in your workspace immediately.

  • Natural-language instructionsWrite what you want the agent to do in plain language. Use variables to parameterise instructions dynamically.
  • Model selectionChoose the Claude model that fits the task — from fast, lightweight agents for classification to powerful models for deep synthesis.
  • Three core capabilitiesRun Code for data processing and computation. Web Search for live context. File Context for reading reports, transcripts, and documents.
  • MCP-connectedAgents with MCP access can read from and write to Usedge — saving highlights, creating insights, and updating the repository automatically.

Agentic workflows

Chain agents into a research pipeline

Agent Handoffs and Agent Chains let you compose multi-agent workflows — each agent hands its output to the next, automating multi-step research tasks end to end.

app.usedge.com/agents/chain — Research pipeline

Agent Chain Mixture-of-Agents

Agents run in sequence — the output of each becomes the input for the next.

Insights browser

INRepository
OUTResearch gap

Study generator

INResearch gap
OUTStudy brief

Protocol designer

INStudy brief
OUTDraft protocol

Guardian

INDraft protocol
OUTValidated protocol

Sessions programmer

INValidated protocol
OUTBooked sessions

From a gap in the repository to sessions on the calendar — one chain, zero manual handoffs.

Agent Handoffs

Route outputs conditionally — one agent's decision determines which agent runs next.

Agent Chains

Sequence agents linearly — the output of each step becomes the input for the next (Mixture-of-Agents).

Up to 10 agents

Chain up to 10 agents per workflow — enough to automate an entire research analysis cycle.

Save and reuse

Workflows are saved configurations. Share them with your team or run the same pipeline across multiple studies.

Real research problems

The work that eats your time — automated

Every marketplace agent targets a real ResearchOps bottleneck.

!Challenge

Drowning in qualitative data

Sessions pile up, synthesis stalls, and insights arrive too late to influence decisions.

Highlight Extractor

Pulls verbatim highlights from transcripts, synthesizes by theme, and saves everything to the repository automatically.

File ContextRun CodeMCP
!Challenge

Manual tagging, inconsistent taxonomy

Tags drift across studies; cross-study search becomes unreliable and the repository hard to navigate.

Taxonomy Manager

Audits all tags, flags gaps and redundancies, proposes a clean taxonomy, and keeps the repository searchable.

MCPRun Code
!Challenge

Uneven study quality as research democratizes

Anyone can run a study with variable rigor — and there's no gate before it goes live.

Protocol Evaluator

Scores protocol rigor, flags ambiguous tasks, leading questions, and missing screener logic before launch.

File ContextMCP
!Challenge

Insights siloed across tools; repository goes stale

Findings are scattered across Notion, exports, and old slide decks. The same research gets repeated.

Analysis Pipeline

A chained workflow that takes raw findings all the way to a tagged, synthesized, searchable insight repository.

Highlight ExtractorTaxonomy ManagerInsight Synthesizer
File ContextMCPRun Code

From agent to automated pipeline

Three steps to turn repetitive research work into something that runs itself.

Step 1

Pick or build an agent

Browse the Agent Marketplace and deploy a ready-made research agent in one click, or create your own with a custom name, description, category, and instructions.

Step 2

Configure capabilities

Choose the tools your agent can use — Run Code for data processing, Web Search for contextual research, File Context for document analysis, and MCP for Usedge integration.

Step 3

Chain agents into a workflow

Connect multiple agents via Handoffs or Agent Chains to automate multi-step research pipelines — from highlight extraction to taxonomy tagging to insight synthesis.

Deploy your first research agent today

Start with the marketplace or build a custom agent — then chain them into a workflow that runs your entire research pipeline.