Natural-language research
Describe criteria in natural language to generate verified, enriched datasets from research tasks.
Claro
Claro Research Agent automates manual research in a table-based workflow for list enrichment, company research, document extraction, and pricing monitoring. It can run on its own or connect to the broader Claro platform for entity-aware, system-synced outputs.
Overview
Claro’s Research Agent is a tool for automating manual research inside a native table interface. It is designed to generate and enrich lists, research companies, monitor pricing, and read large sets of documents while keeping the output structured inside the dataset.
The product can run as a standalone research tool, but Claro says it becomes stronger when connected to the broader platform. In that mode, research outputs are entity-aware, aligned to canonical IDs, and synced to systems such as ERP, PIM, ecommerce, and analytics with audit trails and review queues.
Core capabilities
Native table workflow
Add a column, define a task, and run it across small or very large tables without leaving the dataset.
Multiple research modes
Enrich rows with external data, extract fields from unstructured sources, generate tables from documents, structure geographic insights, or start from a blank table.
Operational data tasks
Run research, enrichment, extraction, classification, and monitoring workflows across datasets and supplier data.
Standalone or connected use
Use the standalone Research Agent by itself, or connect it to Claro for entity-aware, canonical-ID-aligned workflows with audit trails and review queues.
Common use cases
List generation and enrichment
Generate or enrich prospect, supplier, or account lists from criteria you define, while keeping the results in a table you can review and extend.
Company research at scale
Research companies and collect verified fields across many rows without copying data between tools.
Document extraction
Read PDFs, contracts, manuals, or other documents and extract structured fields from them into a usable table.
Price and change monitoring
Monitor pricing, availability, or other changing fields over time and capture updates in a structured workflow.
Connected operational research
Use the agent as a standalone research tool, or connect it to Claro when outputs need to align with canonical IDs and downstream systems.
Pros and Cons
Pros
- Keeps research inside a table-based workflow instead of pushing work into a separate tool.
- Supports several practical research tasks, including enrichment, document extraction, company research, and pricing monitoring.
- Can run across a small batch or a very large table, from 10 rows to 100,000.
- Produces structured outputs rather than unformatted text, which makes downstream use easier.
- Can connect to the wider Claro platform for governed, system-aligned workflows.
Cons
- The public material is light on setup detail, integrations, and exact workflow limits for the standalone agent.
- Pricing terms for custom plans are not published on the page.
- The source does not specify which systems or file types are supported beyond the examples shown.
FAQ
How does Claro pricing work?
Claro offers a self-serve, pay-per-action option and a custom plan for larger or more operationally complex deployments. The pricing page also says teams can start with a focused pilot and scale from there.
What counts as an action in self-serve?
The source does not define a formal action unit in detail. It only states that the self-serve plan is pay per action.
When should I move to a custom plan?
The site suggests a custom plan when you need to operate large catalogs at scale, continuous onboarding and validation, monitoring and automation workflows, or platform configuration and model tuning.
Are there hidden fees or long-term commitments?
The pricing page says there are no hidden fees or long-term commitments, but it does not publish custom-plan formulas or minimums.
Can the research agent be used standalone?
Claro positions its research agents as usable on their own, but also stronger when connected inside Claro because the workflow becomes entity-aware, canonical-ID aligned, synced to ERP, PIM, ecommerce, and analytics systems, and governed with audit trails and review queues.
Quick Facts
- Category
- AI research agent
- Product type
- Standalone tool with platform-connected mode
- Primary workflow
- Research, enrich, and structure data in tables
- Typical users
- Teams doing manual research, list enrichment, or document review
- Pricing
- Self-serve pay-per-action and custom plans
- Website
- getclaro.ai
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