openrouter-uptime / README.md
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metadata
license: mit
pretty_name: OpenRouter Uptime
tags:
  - llm
  - infrastructure
  - uptime
  - openrouter
  - time-series
  - mlops
task_categories:
  - time-series-forecasting
configs:
  - config_name: readings
    data_files: readings.parquet
  - config_name: incidents
    data_files: incidents.parquet
  - config_name: models
    data_files: models.parquet

OpenRouter Uptime

An independent, timestamped uptime record for every model on OpenRouter and each of its inference providers. Polled hourly from OpenRouter's public API and mirrored here daily.

Available in three places:

Files

file rows description
readings.parquet one per endpoint per poll ts, model, provider, state, status, up5m, up30m, up1d
incidents.parquet one per outage edge endpoint crossing into/out of down (ts, model, provider, from, to, event, up30m)
models.parquet current catalog id, name, created, context_length
providers.parquet provider metadata slug, name, headquarters, terms_of_service_url, privacy_policy_url, status_page, data_policy (training/retention/ToS; null after 2026-07-15, upstream stopped publishing it), moderation_required

state is one of: up (>=98% 30-min uptime), degraded (50 to 98%, or OpenRouter status -2), down (<50%, or status -5), idle (no recent traffic).

Why it exists

Built to study operational dependence on AI infrastructure, for example whether outages of a specific provider move downstream systems. Provider-differential, model-resolved availability is the raw material. Contributions and research use welcome.

Update cadence

Refreshed daily from the live poller. For the 30-minute granular history and the verbatim raw API archives, use the GitHub repo.

Citation

@misc{wu_openrouter_uptime_2026,
  author       = {Wu, Wenbin},
  title        = {OpenRouter Uptime: an independent availability and
                  data-policy registry for OpenRouter models},
  year         = {2026},
  howpublished = {\url{https://github.com/dthinkr/openrouter-uptime}}
}