DownForAI

Pinecone status: API, auth, latency & outage reports

Pinecone is operational right now. DownForAI checks Pinecone every ~75 minutes across 2 monitored surfaces, with 0 community reports in the last 24 hours.

Operational
Last probe 30 min ago·2 surfaces
Official statusHigh confidence
📡 Official status page →📚 Docs →💳 Pricing →
100.0%
24h Uptime
203ms
p50 Network Latency
338ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors Pinecone across two surfaces: Pinecone API and Pinecone Console. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 234 ms; p95: 384 ms.

No search incidents have been tracked for Pinecone since monitoring began, and no community reports were submitted in the last 24 hours. Automated checks continue on the configured schedule.

Data confidence: HighLast checked 30 min ago · 2 monitored surfaces · 2 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 134ms
Verified 30m ago
No major incident reported
No reports in the last 24h

Having issues?

Help other users by reporting if Pinecone is not working for you.

0reports in the last 24 hours

Surface Health

Pinecone APIOperational
HTTP 200p50 234ms1h ago
Pinecone ConsoleOperational
HTTP 200p50 172ms30m ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about Pinecone

No confirmed provider-side issue detected
DownForAI currently sees Pinecone as operational based on available monitoring signals.
Signal source: official status API · Monitoring confidence: High
Still having trouble?

The issue may be account-specific, regional, network-related, or related to authentication, billing, quota, or rate limits.

Incident history (30d)

No incidents recorded in the past 30 days.

Reported symptoms

No user reports for Pinecone in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Managed vector database for RAG and semantic search. Serverless and pod-based options.

What we monitor
Control PlaneCan fail while data plane works
Data PlaneRegional, per-environment
Serverless endpoints per regionServerless inference
Status page segments
Control PlaneData Plane
Operator notes
  • Pinecone Control Plane and Data Plane fail independently — a management API outage doesn't necessarily break live queries. Verify which plane is affected.

Fallback alternatives

What to use if this service is down

Pinecone Data Plane is degraded
Weaviate, Qdrant, Turbopuffer can reduce downtime for vector queries
Data migration required
Moderate effort
Production resilience needed
pgvector self-hosted is a resilient fallback
Major migration

How we monitor

DownForAI checks monitored AI service surfaces on a rotating schedule, roughly every 75 minutes per surface, from a single centralized probe infrastructure. For services with an official machine-readable status page, we use that official status signal when available. For other services, we perform a basic public-surface check. Some services block datacenter probes; in those cases we mark them as “Monitoring limited” instead of treating a failed probe as a confirmed outage. Status is classified as Operational, Degraded, or Outage. Network latency (check response time) measures how long the monitored endpoint took to respond to our probe — it is not model inference speed, time-to-first-token, or tokens-per-second performance. We are independent of all providers listed and receive no compensation to report any particular status.

Pinecone statusEmbed this status badgeREADME · docs ▾
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