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Aequalis Transparency

Aequalis Transparency

The data is public. The intelligence is not.

Negotiated rates, payer network composition, and rate-derived utilization signals, extracted from the machine-readable files payers and hospitals are required to publish. Built for contracting, benchmarking, and market-entry decisions.

Price transparency, in motion

Every negotiated rate, claim, and benchmark in one place.

Aequalis Transparency turns the raw machine-readable files into a working analysis surface. Here is what that looks like end to end.

Explore Every Rate With Ease

Analyze any combination of payers, providers, and services without writing a single line of code.

  • Intuitive, no-code interface for teams using healthcare cost transparency data
  • Access historical rates to benchmark rate changes over time
  • Enriched metadata for apples-to-apples comparisons
Request a demo
Payer+ProviderBilling Code
PayerAetna×ProviderCleveland Clinic×CodeCPT 27447×
Aetna → Cleveland Clinic$32,150
CPT 27447 · Total Knee Replacement
Aetna → Cleveland Clinic$28,900
CPT 27447 · Total Knee (Outpatient)
Aetna → Cleveland Clinic FL$35,210
CPT 27447 · Total Knee Replacement
Showing 3 of 847 results
The raw data

What Transparency in Coverage actually is.

Since 2022, federal rules require health plans to publish their negotiated provider rates as machine-readable files (MRFs). Hospitals are required to publish a parallel set of price-transparency files. Together they represent the most complete record of U.S. healthcare pricing ever made public.

They are also enormous, inconsistently structured, and effectively unusable raw. Single-payer files can run into the terabytes. Schemas drift quarter to quarter. Provider identifiers don't resolve cleanly across payers. We turn that raw signal into intelligence you can act on.

Coverage you can trust

We track who is actually publishing, and how clean it is.

Technical Requirement Adoption

All States Any Schema Version
71.1%
Meet Both Requirements
94.5%
Have Posted MRFs
73.7%
Text File Adoption
88.8%
MRF Schema Adoption
0%
100%
Last refreshed 6/09/2026
What it answers

The questions Transparency is built for.

How does Plan A’s commercial rate for CPT 99213 compare in our MSA?
Which procedures show the widest payer-to-payer rate variance in our market?
Where is our contracted rate below or above local market median?
How is our payer’s network composition shifting against competitors?
Which hospitals are anchoring the highest negotiated rates by service line?
Where can we underwrite a new market entry against payer rate exposure?
Generate a position

A few clicks and you're done.

Select a code and a market and return a transparent, benchmarked rate powered by the contracted-rate distribution and reference pricing. Whether you need comparison rates based on percent of Medicare, local market in-network rates, or our Fair Market recommendations, review and share the result via link or download.

Try it now →
Knee ArthroplastyCPT 27447
Los Angeles · MSA 31080
% of Medicare
180%
vs. Local In-Network Rates
64th
Clinical Complexity
High4/5
Fair Market BandIn Band

How It Works

01

Ingest

Payer TiC MRFs, Hospital Price Transparency files

We ingest the machine-readable rate files payers and hospitals are required to publish: in-network negotiated rates, out-of-network allowed amounts, and hospital chargemaster + shoppable services files. Multi-terabyte volumes that we refresh monthly and normalize into a queryable layer.

02

Normalize

Code resolution, provider entity resolution, rate standardization

Rate files were never designed to be compared across payers. We resolve providers across NPIs and TINs, normalize procedure codes across CPT/HCPCS/MS-DRG, standardize rate types and modifiers, and build a unified rate model that supports apples-to-apples comparison.

03

Grade

Confidence scoring, cross-source validation

Rate data is noisy. We assign confidence scores to every rate, provider match, and code mapping, cross-validate against hospital MRFs and known benchmarks, and flag rates that look anomalous so the buyer sees a reliability grade with every output.

04

Package

Decision-ready rate intelligence

We package outputs into the formats buyers actually use: contracting prep packs for plans and provider groups, market-entry briefs for investors, and benchmarking reports for self-funded employers.

See it in action

From raw MRFs to a negotiation-ready position.

The same governed pipeline behind Payer Intelligence, pointed at price-transparency data: rates, claims, and benchmarks you can put in front of a contracting team.

Every negotiated rate

In-network rates across payers, providers, and codes, normalized for apples-to-apples comparison.

Claims-validated

Layer all-payer claims volumes, billed, and paid amounts directly alongside the negotiated rate.

Benchmarked to market

See where a rate sits against the local distribution, Medicare, and the fair-market band.

Market-aware

Resolve rates to MSA and CBSA so a position reflects the geography you actually contract in.

Traceable math

Every benchmarked rate carries the inputs, method, and confidence grade behind it.

Looking for enrollment and plan data?

Aequalis Payer Intelligence

MA enrollment, MA risk score, MA Star Ratings, and Medicaid managed care data, decision-ready.

Interested in Transparency?

Tell us what decision you need to make and we'll show you what the rate data says.

Get Access to Transparency