Cowrie Research

artemis

3 min read

Artemis

  • Name: Artemis
  • URL: https://about.artemis.ai/
  • Category: crypto analytics platform / financial-metrics standardization / coverage-and-comparability middleware / data-share infrastructure
  • Summary: Artemis is not just another crypto dashboard. It is a metrics-and-coverage control plane: naming rules, category definitions, asset admission, and downstream distribution through Terminal, Sheets, API, and Snowflake. That is the part worth keeping, because standardization policy is where a lot of analytics power actually lives.
  • What it does:
    • Lets users compare crypto protocols, stablecoins, fintech companies, and public equities through an Artemis Terminal built around shared fundamental metrics
    • Offers Artemis Sheets plugins for Excel and Google Sheets so analysts can pull standardized metrics directly into spreadsheet workflows
    • Exposes REST API access to core datasets and a Snowflake Data Share for warehouse-style access to protocol and stablecoin tables
    • Maintains schema documentation for 130+ blockchains and protocols, including naming conventions for usage, cash-flow, and supply metrics
    • Runs an Activity Monitor that classifies onchain behavior by Artemis-defined categories such as DeFi, Infrastructure, Oracle, RWA, DePIN, and others
    • Publishes research and stablecoin-analysis products that reuse Artemis’s internal metric and labeling stack as narrative surfaces
  • Key claims:
    • Artemis’s clearest analytical contribution is metric standardization. The docs define a general {prefix}_{root}_{suffix} naming convention and explicitly migrate old metric names into newer normalized ones, which means the product’s control plane is partly a naming-and-definition regime rather than only a frontend.
    • The Snowflake Protocol Data docs make the taxonomy especially legible: Artemis groups metrics into usage, cash-flow, and supply families, then maps sectors and accrual buckets such as service, equity, foundation, token, fee_sharing_token, treasury, burned, and buyback.
    • The Metric Guide is important because it shows how much soft power sits with the maintainer of a metric vocabulary. Artemis can rename, deprecate, or redefine common investor-facing terms across API, Sheets, Snowflake, and Terminal, forcing downstream users to inherit its conceptual model.
    • Coverage and inclusion policy are real governance surfaces here. The FAQ says projects get listed by reaching out directly via email or Telegram, which means asset admission is not purely automatic or permissionless even though the end product looks like neutral market infrastructure.
    • The developer-activity methodology is also a notable dependency surface. Artemis says it sources ecosystem repository lists from Electric Capital’s crypto-ecosystems project, so some of its analytics authority inherits upstream classification choices rather than originating entirely in-house.
    • The public changelog shows Artemis as an actively maintained data pipeline rather than a static dashboard. Weekly entries describe model rewrites, metric deprecations, schema fixes, and new-asset additions with linked PR references, which makes pipeline maintenance and normalization policy part of the product surface.
    • The Activity Monitor category system reinforces that Artemis is doing classification work, not only aggregation work. Deciding what counts as DeFi, Infrastructure, CeFi, RWA, Oracle, or Gaming meaningfully shapes how users interpret ecosystem activity and comparable growth.
  • Whitepaper: No canonical Artemis whitepaper or litepaper surfaced in this pass. The strongest primary materials were the official site, overview and FAQ docs, metric-taxonomy and Snowflake schema pages, and the public changelog collected in ../whitepapers/artemis-primary-sources-2026-05-12.md.
  • Sources:

Internal linkages

  • Strongest upward reads in crypto analytics: dune and defillama.
  • Closest direct comparison inside the investor-metrics branch: token-terminal.

Control surface

  • The leverage sits in metric definitions, category labels, asset admission, schema migrations, and which upstream datasets Artemis decides to normalize or inherit.

  • That is why this note matters. Artemis is a measurement regime with distribution attached, not just a chart frontend.

  • Last reviewed: 2026-06-09 UTC

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