A ledger of incidents that AI API providers declare on their own status pages, one taxonomy across providers, SLA terms as posted, and a revision ledger of records that changed after capture. Declared, not measured.
Download the file or read the study for its structure; both are linked above.
Released under CC BY 4.0. You may use it commercially and redistribute it. Attribution is the only condition.
Couey, V. W. (2026). AI API Reliability 2026: What AI Providers Declare on Their Own Status Pages. Deep Synthesis. https://doi.org/10.5281/zenodo.23724799
Found an error, need a different cut of this data, or citing it in something? vincent@deepsynthesis.org. Corrections are made against the published file and the DOI is versioned, so a fix is traceable rather than silent.
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Per-claim evidence audit of common standing-desk health and productivity marketing claims, sourced to peer-reviewed and meta-analytic literature.
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