AI Ecosystem Daily Snapshots from TensorFeed API

Daily snapshots capture news, pricing, benchmarks, and service status across the AI industry. The dataset is compiled from the public TensorFeed API and committed as JSONL files organized by date. Author 'tensorfeed' last updated the repository on 2026-05-16.

Use Cases

• Analyze trends in GPU rental pricing based on daily price feeds
• Monitor LLM endpoint performance and reliability based on latency probe data
• Track adoption and growth of AI services based on the AFTA adopter directory and MCP registry
• Study correlations between AI news events and model benchmark results

Strengths

• Data is captured daily, providing a time-series view of a dynamic ecosystem
• Snapshots include multiple facets like pricing, benchmarks, and news, suggesting a multi-dimensional view
• Repository structure uses dated subfolders and a manifest, suggesting organized versioning

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count and total dataset size are unknown, which may limit suitability assessment
• Data may reflect source bias inherent to the single TensorFeed API

Provenance

Source

TensorFeed public API (tensorfeed.ai)

Collection Method

Daily automated capture and commit to repository as JSONL

Time Range

Daily coverage, starting date unknown

Freshness

Updated daily according to the description; last repository update was 2026-05-16.

Geography

Global coverage likely, but not explicitly stated