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.
Agent Marketplace
Discover, chain and deploy AI research agents
Report analyzer
Extracts atomic highlights from any research report in seconds.
Taxonomy manager
Keeps tags consistent and merges duplicates across studies.
Protocol evaluator
Drafts a structured protocol from a single research objective.
Research protocol evaluator
Scores protocol rigor and flags bias before you launch.
Trusted by enterprises that can't afford research slop












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.
Taxonomy Manager
Audits your tag taxonomy, flags gaps and redundancies, and proposes a clean structure across every study.
Repository Curator
Dedupes overlapping insights, suggests merges, and keeps the repository searchable so past research is reused, not re-run.
Intake & Triage Assistant
Qualifies and prioritises incoming research requests, routes them to the right template, and keeps the queue moving.
Protocol Guardian
Reviews every protocol against your best-practice standards before launch — blocks low-quality studies at the source.
Segmentation Guardian
Checks each new study applies a segmentation template; pauses and asks the researcher to confirm the target segment if it's missing.
Privacy & Consent Guardian
Verifies consent is captured and flags GDPR risks — anonymisation vs deletion, retention windows, PII exposure.
Highlight Extractor
Turns raw transcripts and sessions into verbatim highlights and atomic insights automatically, saved to the repository via MCP.
Stakeholder Digest Writer
Rolls new studies and insights into a stakeholder-ready summary and posts it to your team channel on completion.
Research Coach
Guides PMs and designers running their own studies — suggests methods, sharper questions, and flags bias as they build.
Report analyzer
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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 instructions — Write what you want the agent to do in plain language. Use variables to parameterise instructions dynamically.
- Model selection — Choose the Claude model that fits the task — from fast, lightweight agents for classification to powerful models for deep synthesis.
- Three core capabilities — Run Code for data processing and computation. Web Search for live context. File Context for reading reports, transcripts, and documents.
- MCP-connected — Agents 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.
Agent Chain Mixture-of-Agents
Agents run in sequence — the output of each becomes the input for the next.
Insights browser
Study generator
Protocol designer
Guardian
Sessions programmer
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.
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.
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.
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.
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.
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.
