From discovery to the first result.
Expose configured autocomplete, search, facets, and record lookup through Reader. Help customers find the records and fields they need.
For data vendors
Your data.
In more customers’ products.
Give customers a modern way to discover, integrate, and use your datasets. OpenMDTA brings searchable catalogs, calculated key figures, live subscriptions, historical queries, and schema-generated SDKs—under your brand and your control.
01 / ADOPT
Make your data easier to build with.
Your customer’s developers are the people who turn an evaluation into a working integration. Give them consistent interfaces, typed fields, and searchable datasets so they can get to a useful result with less bespoke integration work.
Your schema, in their workflow.
Generate typed SDKs for your data model, including custom fields. Give customers a consistent interface as you extend your offering. See the TypeScript example →
02 / BUILD
Build more products from your data.
Combine datasets, expose selected fields, add calculated figures, and shape customer offerings through configured access rules. Your schema and product logic define what makes the offering yours.
Structured datasets customers can explore.
Catalogs can model more than instruments: issuer information, fundamentals, estimates, structured analyst observations, and fund holdings. Data coverage and integration come from the sources you own or license.
Calculations that serve your customers’ use cases.
Keyfigures combines Catalog information with selected price inputs for derived values and screening. Agree the formulas, inputs, and financial semantics for your product; the service is not a bundled analytics library.
03 / DISTRIBUTE
Grow distribution on shared infrastructure.
Use the same platform for current values, subscriptions, and historical access. Keep your team focused on the quality and coverage customers buy, with OpenMDTA providing the delivery infrastructure and expertise to run it.
Live APIs, ready for customer products.
Last provides current snapshots and continuing updates. Gateway routing, authorization, and shared upstream processing connect your data to customer applications.
Tick history and OHLC. Built to scale.
Timeseries delivers raw history and aggregated candles. Separate query and materialization workers let you add serving capacity without repeating historical processing.
Three ways to run it. One platform.
- We run it on our infrastructure. We provide the environment and operate OpenMDTA.
- We run it on your infrastructure. We operate OpenMDTA in your environment with agreed access and responsibilities.
- You run it on your infrastructure. Your team handles deployment and operations, with optional support from us.
Independent self-hosting is an explicit acceptance goal. Billing, a marketplace, and automatic commercial licensing are not included claims; permitted distribution and access policies are agreed for your datasets.
04 / PROVE YOUR NEXT STEP
One dataset. One customer integration.
Start with a dataset you already sell. In a scoped paid pilot, agree the schema, access rules, delivery interfaces, and a concrete customer integration to validate. Set the scope, price, data rights, and acceptance criteria before work starts.
- Shape the offering. Select the dataset, customer use case, fields, and permitted access.
- Connect a customer workflow. Implement the required parser and mappings, expose the agreed APIs, and supply the matching SDK.
- Measure and decide. Verify the integration and operating workload together, then expand or stop with the agreed handover deliverables.
Or email paul@openmdta.com. Explore the platform and technical evidence →