Payerset Research Assistant™

The depth healthcare pricing requires, available to everyone.

The Payerset Research Assistant combines the industry’s most complete healthcare pricing dataset with years of hard-won context to answer the most complex pricing questions in healthcare.

Every published rate, at source-record detail
Plans, runs, and explains its own research
Real rates with the evidence attached

You ask “How do our joint replacement rates compare to every other health system in our market?”

Plan the research and scope

Before it touches a single rate, the Research Assistant works out what a defensible answer requires, and resolves exactly whose data that means.

Reads the question against Payerset’s knowledge base and writes a detailed research guide
Maps every facility, TIN, and NPI in your system, including affiliates that file under other names, then builds the peer set and market around it
Sets the validation checks up front, so every figure can be defended later

You ask “Why is Anthem paying us less for imaging than everyone else?”

Join and normalize every source

One rate never tells the story. Every relevant source is joined and normalized to the same shape.

Payer MRFs, hospital MRFs, payer non-standard codes, and carve-outs
All-payer claims and remittances, so contracted rates sit beside what was actually paid
Medicare benchmarks across inpatient, outpatient, clinical lab, and ASCs, normalized to the same code, setting, and modifier

You ask “Which markets should I expand into for imaging centers?”

Apply industry context

Payerset’s knowledge base carries years of experience in how each payer files, so numbers get read the way an expert reads them.

Uncovers contract structures and normalizes them across different real-world scenarios
Payers and hospitals interpret the rules differently, so the same data shows up many ways; Payerset applies years of experience to read each one correctly
Different use cases call for different methods, so built-in frameworks adapt to the question you’re asking, such as contract negotiations, market analysis, access, or network evaluation

You ask “Give me a one-page executive report, with the benchmark table in Excel.”

Deliver the output you asked for

The answer arrives in the form you need, with the evidence attached.

Tables, charts, PowerPoint, spreadsheets, or customized executive reports
Every figure is a real, observed rate with its source record behind it
Ready to share with your CFO, your consultants, or the payer across the table

You ask “Now cut that by site of care and add Medicare as a benchmark.”

Keep working together

The first answer is a starting point. Follow up, push back, and interrogate every number.

Ask follow-ups in plain language; the scope and sources carry forward
Challenge a figure and it shows you the source record behind it
Every step of the research is visible, so your team can audit the work

You How do our joint replacement rates compare to every other health system in our market?

Your health system resolved

0Facilities

0TINs

0NPIs

0Peer systems

Research guide generated

ScopeYour 2 hospitals, 5 peer systems, 1 market

CodesMS-DRG 469, 470 · CPT 27447, 27130

BenchmarkMedicare IPPS, current fiscal year

ValidateRate-to-remit match · unit basis

Plan ready. Starting research.

You Why is Anthem paying us less for imaging than everyone else?

Payer MRFs 4 payers, 31 plans

Hospital MRFs 6 facilities

Payer non-standard codes 212 mapped

Carve-outs 9 resolved

Claims 84,310 lines

Remittances 71,922 matched

Medicare & Medicaid IPPS, OPPS, PFS

Joined on NPI · TIN · code · setting · modifier Normalized

You Which markets should I expand into for imaging centers?

Rate basis Imaging publishes as a global fee or split into professional and technical components. Normalized to one comparable rate per code and market.

Site of care Freestanding imaging centers and hospital outpatient departments price the same scan very differently. Held apart by site of care, not blended.

Finding Three candidate markets show technical-component rates well above the national median, with no dominant freestanding player. Flagged for expansion.

You Give me a one-page executive report, with the benchmark table in Excel.

ReportTableChartSlides

MS-DRG 470 · Your rate vs. market median

Anthem-18%

UnitedHealthcare-6%

Aetna+4%

Cigna+1%

Executive report.pdf Benchmark table.xlsx Executive summary.pptx

You Now cut that by site of care and add Medicare as a benchmark.

Done. Inpatient and outpatient are split, with Medicare IPPS and OPPS as the benchmark. Anthem’s inpatient gap is 22%; outpatient is within 3%.

You Where does that 22% come from? Show me the source.

Anthem’s in-network file, plan Blue Access PPO, MS-DRG 470, negotiated rate $31,920 against a market median of $40,910. 412 matching remits in the last 12 months.

Why it is different

Industry-leading AI on the industry’s most complete dataset

Any AI is only as good as the data behind it. The Research Assistant^™ runs on the entire published price transparency corpus, at the most detailed level with no rollups or aggregates, and reads it with the judgment of a team that has worked in this data for years.

A full research team, for every user

Guided by Payerset’s knowledge base, it scopes the question, builds the full provider and code universe, pulls every relevant source, and validates before it answers. Every user on your team gets that firepower.

Real rates, never estimates

Every number it surfaces is a real, observed negotiated rate from the source records. It never averages or blends rates into a synthetic figure, and every answer arrives with the evidence behind it.

Every dataset that matters

Transparency data is the foundation. The Research Assistant joins it with hospital filings, payer non-standard codes and carve-outs, all-payer claims and remits, and dozens of Medicare and Medicaid datasets, so no rate ever stands alone.

Industry knowledge built in

Years of Payerset experience with how each payer files travel with every question: percent-of-charges normalization, modifier handling, and when a missing rate is itself the finding.

Where you use it

One research engine, multiple ways in

Work inside the Payerset platform, or bring the same tooling into the AI assistant your team already uses.

In the Payerset platform

Rate Explorer

Different workflows call for different tooling. Rate Explorer is the self-service side: point-and-click search and filtering in the full platform, a guided workflow for quick data pulls and digging into the raw detail yourself.

See Rate Explorer

In your AI platform

Connect through Payerset MCP

The same research tooling is available as a hosted MCP server, live in Claude, ChatGPT, Microsoft 365 Copilot, and Gemini Enterprise, with nothing to install.

See Payerset MCP

Common questions

Frequently Asked Questions

What is the Payerset Research Assistant™?

The Payerset Research Assistant™ is Payerset’s flagship AI product. Ask it a real question about negotiated rates, reimbursement, or your market, and it plans and runs a full research engagement: it writes a research guide, scopes your organization, joins and normalizes every relevant source, applies industry context, and delivers the answer in the form you asked for, with the evidence attached.

How is the Payerset Research Assistant different from a chatbot on a database?

The Payerset Research Assistant™ carries Payerset’s knowledge base with it: a research methodology built from years of work in this data. It knows how each payer files, when a number needs validation, and when an absence is itself a finding. Every rate it surfaces is a real, observed number, never a synthetic average, and every step of its work is visible.

What data does the Payerset Research Assistant work with?

The Payerset Research Assistant™ works with the entire published price transparency corpus at source-record detail, with full history and no rollups or aggregates. It joins payer MRFs, hospital MRFs, payer non-standard codes and carve-outs, all-payer claims and remittances, and dozens of Medicare and Medicaid datasets, all scoped to your Payerset license.

Is the Payerset Research Assistant replacing Rate Explorer™?

The Payerset Research Assistant™ is the next evolution of Rate Explorer™. It runs inside the Payerset platform on the same enriched data, and the self-service filtering and analysis you use today remain available. The difference is where you start: with the question, rather than with the filters.

Can I use the Payerset Research Assistant in Claude, ChatGPT, Copilot, or Gemini?

Yes. The same research tooling is available through Payerset MCP, a hosted MCP server that is live in Claude, ChatGPT, Microsoft 365 Copilot, and Gemini Enterprise. See the Payerset MCP page for connection guides for each platform.

How is access to the Payerset Research Assistant secured?

Access to the Payerset Research Assistant™ is tied to your Payerset account and license. Data is retrieved live at request time, entitlements are enforced server-side on every call, and access can be revoked centrally at any time.

Put the Research Assistant to work

Request your demo and watch it run a real question from your market, end to end, on your licensed price transparency data.

Every published rate at source-record detail, with full history
Research, joins, and industry context built in
Available in the Payerset platform and through Payerset MCP