open_payments_research

Search Open Payments RESEARCH payments -- clinical research grants and study funding from pharma/device companies to doctors. Separate dataset from general payments.

SERVERLivedatalink SOURCEhttps://livedatalink.ai/mcp
Low RISK CLASS
Category Read
Parameters 60 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/open-payments-research.md

What open_payments_research does on Livedatalink

AI agents call open_payments_research to retrieve information from Livedatalink without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
year string Program year (auto-discovers latest if omitted, e.g. '2024')
limit number Max rows (default 20, max 100)
state string Two-letter state code (e.g. 'CA', 'TX')
doctor string Doctor last name (case-insensitive)
company string Manufacturer/GPO name (partial match), e.g. 'Pfizer', 'Stryker', 'Johnson & Johnson'
specialty string Medical specialty (partial), e.g. 'Cardiology', 'Orthopaedic'

Parameters from the server's own tool schema.

Why open_payments_research is rated Low

This tool searches/queries a public dataset (Open Payments Research) for information about research funding. It retrieves data with no side effects, modifications, or destructive actions. The severity is low as it only reads publicly available government data.

From the tool's definition Search Open Payments RESEARCH payments -- clinical research grants and study funding from pharma/device companies to doctors

Questions about open_payments_research

What does the open_payments_research tool do? +

Search Open Payments RESEARCH payments -- clinical research grants and study funding from pharma/device companies to doctors. Separate dataset from general payments. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.

What parameters does open_payments_research accept? +

open_payments_research accepts 6 parameters: year, limit, state, doctor, company, specialty. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on open_payments_research? +

Register the Livedatalink MCP server in PolicyLayer and add a rule for open_payments_research: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Livedatalink. Nothing to install.

What risk level is open_payments_research? +

open_payments_research is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit open_payments_research? +

Yes. Add a rate_limit block to the open_payments_research rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block open_payments_research completely? +

Set action: deny in the PolicyLayer policy for open_payments_research. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides open_payments_research? +

open_payments_research is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Livedatalink, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Livedatalink's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.