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Materials Platform for Data Science

Materials Platform for Data Science

Machine-readable critically evaluated materials data for AI — This is an online materials database with more than 2M entries, systematized and available via the API

Education·Launched Mar 2018·0 upvotes·mpds.io
Upvote0Visit Website
ALIVEverified Jul 13, 2026 · HTTP 200
CohortClass of 2018

What it is

Machine-readable critically evaluated materials data for AI — This is an online materials database with more than 2M entries, systematized and available via the API. Since 1993 the team of PhD scientists excerpts the data from the articles, books, proceedings etc. Now about 400k crystal structures, 60k phase diagrams, and 1M physical property sets are ready for the modern data-intensive applications. [API, Hardware, Education]

HTTP liveness

15 probes since Jun 11
Jun 11Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)

Observed events

probes · press · GitHub
  1. Jun 28, 2026
    Back online
    Alive · 200 OK
  2. Jun 24, 2026
    Probe inconclusive
    Timeout
  3. Jun 14, 2026
    Back online
    Alive · 200 OK
  4. Jun 12, 2026
    Probe inconclusive
    Timeout
  5. Jun 11, 2026
    First probe — live
    Alive · 200 OK

Moat

Data moat
strong

Accumulates proprietary data that improves the product over time and that competitors cannot replicate.

strong · 0.95 confidence
Text classification · Jun 2026

Discussion 0 comments

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Pulse Indexobserved activity
15 probes0 pressGitHub –Tranco –

Not enough observed signals for a Pulse Index (needs 2+ signal families).

Cohort survival · Class of 2018weekly

2,435 products launched in 2018 · 100% still active

2,425 active10 sunset
Still active
100%
Median lifespan
4.9y