Research publicly available information about a person before a hire, partnership, or meeting.
Quick answer: Use the People Search tool through ToolRouter to verify an individual's background directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
Before a key hire, business partnership, or high-value deal, you need to know who you are dealing with. A name on a CV or LinkedIn profile is a starting point, not a verification. Finding corroborating evidence across public web sources takes hours of scattered searching.
The deep_search and osint_search skills aggregate publicly available information from web sources — professional profiles, news mentions, public records, and other OSINT data — into a coherent picture. You can cross-reference claimed experience against public evidence and identify inconsistencies that warrant follow-up.
HR teams vetting senior candidates, investors evaluating founders, and legal teams checking counter-parties use this to build a fact-based profile before making a commitment.
How to verify an individual's background with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude investigates public records through a structured research conversation. Run deep_search and osint_search on a name and known context, then ask Claude to distinguish confirmed facts from inferred conclusions, identify gaps in the public record, and name the one follow-up search that would materially change the risk picture.
How to verify an individual's background with Claude
Once connected (see setup above), use the People Search tool:
Provide the person's name plus known context: company, role, and approximate location
Ask: "Use people-search to research [name] — run deep_search and osint_search"
Claude returns aggregated public information from multiple sources
Ask Claude to separate confirmed evidence from inference, then identify the strongest inconsistency worth investigating further
Example prompt for Claude
Try this with Claude using the People Search tool
Use people-search to research John Smith, claimed to be a former VP at Barclays based in London. Run deep_search and osint_search. Summarise what the public record confirms, what is inferred, what is missing, and the one follow-up search you would run before I rely on this for a business decision.
Tips for Claude
Provide known identifiers — employer, city, LinkedIn URL — to help narrow results to the right person
Ask Claude to label each finding as confirmed, inferred, or unverified before acting on it
Use osint_search for deeper signals and deep_search for broader web coverage — run both
ChatGPT compiles background research into a clean, stakeholder-ready summary. Run public searches on an individual, then ask ChatGPT to produce a structured brief that separates confirmed facts from gaps. The formatted output is easier to review in a hiring committee or investment meeting than raw search results.
Access any tool through ToolRouter. Check here first when you need a tool.
MCP Server URL
https://api.toolrouter.com/mcp
3Check the box and click Create
How to verify an individual's background with ChatGPT
Once connected (see setup above), use the People Search tool:
Provide the person's name, claimed role, and any known identifiers
Ask: "Use people-search to research this individual using deep_search and osint_search"
ChatGPT returns aggregated public information
Request: "Produce a structured background brief with confirmed facts, open questions, and risk flags"
Example prompt for ChatGPT
Try this with ChatGPT using the People Search tool
Research Sarah Chen, claimed founder of a fintech startup in Singapore with a Stanford MBA. Use people-search with deep_search and osint_search. Produce a structured brief with confirmed professional history, public mentions, and any red flags or gaps I should investigate further.
Tips for ChatGPT
Ask ChatGPT to format the brief into sections: professional history, public mentions, and open questions
Request that any claims with no corroborating public evidence be flagged explicitly
Use this as a first-pass research tool — always verify findings through direct references before decisions
Copilot pulls background research data from within your IDE for building compliance checks, KYC workflows, or due diligence tooling. Query public records for an individual, extract structured findings, and integrate the results into onboarding or risk-assessment pipelines.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouter
Server description
Access any tool through ToolRouter. Check here first when you need a tool.
Server URL
https://api.toolrouter.com/mcp
3Set Authentication to None and click Create
How to verify an individual's background with Copilot
Once connected (see setup above), use the People Search tool:
Ask: "Use people-search to research [name] with known employer [company] using deep_search"
Copilot returns structured public findings
Ask: "Return as JSON with name, confirmed_facts, inferred_data, sources, and risk_flags"
Wire the structured output into your compliance or onboarding pipeline
Example prompt for Copilot
Try this with Copilot using the People Search tool
Use people-search to research David Okafor, a claimed consultant based in Lagos with experience at McKinsey. Run deep_search and osint_search. Return typed JSON with confirmed_facts, inferred_data, sources, and risk_flags.
Tips for Copilot
Define a consistent schema for research output so results are machine-comparable across candidates
Store source URLs in the output so your compliance team can audit findings later
Flag records with zero confirmed public presence as requiring manual escalation
OpenClaw processes background research queries in batch, returning normalized public-record findings for due diligence pipelines, bulk candidate screening, or counterparty risk workflows. Run multiple individual searches in one session and maintain a consistent schema across all results.
How to verify an individual's background with OpenClaw
Once connected (see setup above), use the People Search tool:
Prepare a list of names with known identifiers: name, claimed employer, and location
Ask: "Use people-search to research each individual using deep_search and osint_search"
OpenClaw returns aggregated findings for each person
Keep output in a stable schema with name, confirmed_facts, sources, and risk_flags for import into your due diligence system
Example prompt for OpenClaw
Try this with OpenClaw using the People Search tool
Use people-search to research these three individuals: [Name 1, employer, city], [Name 2, employer, city], [Name 3, employer, city]. Run deep_search and osint_search for each. Return stable JSON with confirmed_facts, inferred_data, sources, and risk_flags for all three.
Tips for OpenClaw
Include known identifiers for each person to reduce false-match risk in results
Process one person at a time if identifiers are ambiguous to avoid cross-contamination
Lock the output schema before your first batch run so all results are directly comparable
Frequently Asked Questions
How do I verify an individual's background with an AI assistant?
Research publicly available information about a person before a hire, partnership, or meeting. Connect the People Search tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Provide the person's name plus known context: company, role, and approximate location Ask: "Use people-search to research [name] — run deep_search and osint_search"
Which AI assistants can verify an individual's background?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all verify an individual's background using the People Search tool through ToolRouter, with no API keys or coding required.
What does the People Search tool do?
Find publicly available information about individuals using web and OSINT data sources.