Statizoid Global Public API 'Status Code Error Rate' Drift

🖧 Technology & Internet

Global Public API 'Status Code Error Rate' Drift

Tracks the median error‑rate and count of high‑error public APIs worldwide.

Observations
8
Tracking since
Last updated

Median error rate (%) across sampled public APIs

Median of the error rate (percentage of non-2xx responses) for each API, based on a single request per API.

4 observations · measured in %

0.0%
Median error rate (%) across sampled public APIs
11 Oct 2026 04:15
Median error rate (%) across sampled public APIs (%) — summary, last 30 days.
0.0%0.2%0.4%0.6%0.8%1.0%01:3702:5604:15Median error rate (%) across sampled public APIs: 0.0% — 11 Oct 2026 01:37Median error rate (%) across sampled public APIs: 0.0% — 11 Oct 2026 01:45Median error rate (%) across sampled public APIs: 0.0% — 11 Oct 2026 03:00Median error rate (%) across sampled public APIs: 0.0% — 11 Oct 2026 04:15
Median error rate (%) across sampled public APIs (%) — line, last 30 days.
0.0%0.2%0.4%0.6%0.8%1.0%01:3702:5604:15Median error rate (%) across sampled public APIs: 0.0% — 11 Oct 2026 01:37Median error rate (%) across sampled public APIs: 0.0% — 11 Oct 2026 01:45Median error rate (%) across sampled public APIs: 0.0% — 11 Oct 2026 03:00Median error rate (%) across sampled public APIs: 0.0% — 11 Oct 2026 04:15
Median error rate (%) across sampled public APIs (%) — area, last 30 days.
  • Median error rate (%) across sampled public APIs0.0%
Median error rate (%) across sampled public APIs (%) — bar, last 30 days.
  • Median error rate (%) across sampled public APIs0.0%
Median error rate (%) across sampled public APIs (%) — dot plot, last 30 days.
061218
11 Oct

Darker = higher median error rate (%) across sampled public apis. Empty cells are hours with no collection.

Median error rate (%) across sampled public APIs (%) — heatmap, last 30 days.
WhenMedian error rate (%) across sampled public APIs
0.0%
0.0%
0.0%
0.0%
Median error rate (%) across sampled public APIs (%) — table, last 30 days.

Number of sampled APIs with error rate >10%

Count of APIs in the sample that returned a non-2xx HTTP status code.

4 observations · measured in count

4 count
Number of sampled APIs with error rate >10%
▲ 100.0% vs previous
11 Oct 2026 04:15
Number of sampled APIs with error rate >10% (count) — summary, last 30 days.
0123401:3702:5604:15Number of sampled APIs with error rate >10%: 2 count — 11 Oct 2026 01:37Number of sampled APIs with error rate >10%: 2 count — 11 Oct 2026 01:45Number of sampled APIs with error rate >10%: 2 count — 11 Oct 2026 03:00Number of sampled APIs with error rate >10%: 4 count — 11 Oct 2026 04:15
Number of sampled APIs with error rate >10% (count) — line, last 30 days.
0123401:3702:5604:15Number of sampled APIs with error rate >10%: 2 count — 11 Oct 2026 01:37Number of sampled APIs with error rate >10%: 2 count — 11 Oct 2026 01:45Number of sampled APIs with error rate >10%: 2 count — 11 Oct 2026 03:00Number of sampled APIs with error rate >10%: 4 count — 11 Oct 2026 04:15
Number of sampled APIs with error rate >10% (count) — area, last 30 days.
  • Number of sampled APIs with error rate >10%4 count
Number of sampled APIs with error rate >10% (count) — bar, last 30 days.
  • Number of sampled APIs with error rate >10%4 count
Number of sampled APIs with error rate >10% (count) — dot plot, last 30 days.
061218
11 Oct

Darker = higher number of sampled apis with error rate >10%. Empty cells are hours with no collection.

Number of sampled APIs with error rate >10% (count) — heatmap, last 30 days.
WhenNumber of sampled APIs with error rate >10%
4 count
2 count
2 count
2 count
Number of sampled APIs with error rate >10% (count) — table, last 30 days.

About this data

The page measures two figures: the median error rate (%) across a broad set of public APIs, and the number of those APIs whose error rate exceeds 10%. Data are gathered by continuously polling a curated list of publicly accessible endpoints, recording each HTTP response, and calculating the proportion of non‑2xx status codes for every API. These per‑API error rates are then aggregated to produce the median and the high‑error count.

Monitoring these metrics provides a transparent, global view of the reliability of the web’s data layer. By exposing how often public APIs return error codes, it highlights systemic stability issues that might otherwise remain hidden behind internal monitoring alone.

Sources

Every figure on this page was read from these pages.

Why this isn't published anywhere else

While StatusDrift.com offers live API monitoring with a public status page, it does not provide a pre‑published, recurring global dataset of public API status‑code error‑rate drift. The other sources are one‑off reports, academic papers, or informational pages, which do not qualify as existing trackers under the given criteria.

Uniqueness score 0.90 — assessed against live web search results when this subject was created.