01Competitive Landscape

	Vana (vendor website)	Ocean Protocol	Streamr Marketplace
Starting Price	Not published as a standardized pricing table; press-reported monetization plans were noted in earlier coverage and may be outdated	Protocol documentation describes asset-pricing schemas; costs vary with token economics and publisher choices	Pricing depends on streams and data products listed on the marketplace; costs are per product/stream
Appropriate use cases	Personal data portability, DataDAOs/DLPs for permissioned personal datasets and AI training; developer access to user-provided context	Tokenized dataset access and compute-to-data patterns that reduce the need to move raw data	Real-time data monetization and discovery, subscription-like data streams, IoT and telemetry markets
Key strength	Focus on personal data portability, consent primitives, and developer tooling for permissioned personal context	Compute-to-data model that can reduce raw-data movement and associated liability	Clear marketplace flows for streaming data and established tooling for stream monetization
Key weakness	Risk of platform pushback on certain exported-data use cases; enterprise compliance posture (SOC 2/ISO) is not documented in public materials	Tokenomics and ecosystem complexity can be a barrier; adoption varies by ecosystem conditions	More narrowly focused on streaming data rather than rich cross-platform personal context

02Market Map

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Published Oct 4, 2026

	Vana (vendor website)	Ocean Protocol	Streamr Marketplace
Starting Price	Not published as a standardized pricing table; press-reported monetization plans were noted in earlier coverage and may be outdated	Protocol documentation describes asset-pricing schemas; costs vary with token economics and publisher choices	Pricing depends on streams and data products listed on the marketplace; costs are per product/stream
Appropriate use cases	Personal data portability, DataDAOs/DLPs for permissioned personal datasets and AI training; developer access to user-provided context	Tokenized dataset access and compute-to-data patterns that reduce the need to move raw data	Real-time data monetization and discovery, subscription-like data streams, IoT and telemetry markets
Key strength	Focus on personal data portability, consent primitives, and developer tooling for permissioned personal context	Compute-to-data model that can reduce raw-data movement and associated liability	Clear marketplace flows for streaming data and established tooling for stream monetization
Key weakness	Risk of platform pushback on certain exported-data use cases; enterprise compliance posture (SOC 2/ISO) is not documented in public materials	Tokenomics and ecosystem complexity can be a barrier; adoption varies by ecosystem conditions	More narrowly focused on streaming data rather than rich cross-platform personal context

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