Third Party Index

Macroscope

macroscope.com

Subprocessors

26 third parties. CSV · Atom

NamePurposeLocationListed since
Anthropic AILarge Language Model (LLM) processing to generate summaries and code reviews; Note: None of our customer data is ever used to train any of the Anthropic models. Transfers are safeguarded by Standard Contractual Clauses. Customers have the option to limit data and inference to US only for an extra cost. No data is retained for all models except Fable, where data may be retained for 30 days for security purposes, and this data may be stored globally.Global
AWS AILLM Inference Processing for the product; We occasionally use AWS Bedrock as a backup provider to run inference for other provider LLMs. We also sometimes use AWS for compute services. Customers have the option to limit LLM data and inference to US only for an extra cost.Global
Baseten AILLM inference and training; We occasionally use Baseten to provide LLM inference and training. We never use customer data to train LLMs.Global
Exa AI powered web searches; Allows Macroscope to browse and search the webUnited States
Fireworks AI AIInference; We use Fireworks to process inference for certain LLM calls. Models are never trained on any customer data.Global
Google Cloud Platform Cloud provider; Our infrastructure is primarily hosted on GCP.United States
Google Gemini AILarge Language Model (LLM) processing; We occasionally use Gemini models through Google's Vertex API to generate summaries and do code review. Models are never trained on any customer data.Global
Linear Collaboration; We use Linear as our internal project management system. When issues relate to the experience of a specific customer, there may be minimal customer information as part of the created ticket.United States
Microsoft Azure Cloud Inference and Cloud Services; We will occasionally use Azure to handle inference for LLMs from other providers. We also occasionally use Azure services for cloud processing as a backup to GCP. Customers have the option to limit data and inference to US only for an extra cost.Global
Modal Compute Sandboxes; We use modal to create sandboxes where we can perform secure computing. We also occasionally us them to process inference for LLMs.Global
OpenAI AILarge Language Model (LLM) processing to generate summaries and code reviews; Note: None of our customer data is ever used to train any of the OpenAI models. Transfers are safeguarded by Standard Contractual Clauses. Customers have the option to limit data and inference to US only for an extra cost.Global
Parallel AI powered web searches; Allows Macroscope to browse and search the web.United States
Posthog We use Posthog for analytics and error tracking of our web application and corporate website. Effective date: November 5, 2025; Web analytics and error reportingUnited States and EU
Prime Intellect LLM Inference and Training; We occasionally use Prime Intellect to provide LLM inference and training. We never use customer data to train LLMs. Effective date: August 7, 2026USA
Pylon Customer Support; We use Pylon as our unified customer support platform, to facilitate support via Email, Slack and other mediums.United States
Sail LLM Inference and Training; We occasionally use Sail to provide LLM inference and training. We never use customer data to train LLMs.Global
SendGrid Email delivery; SendGrid powers email delivery for some of our reporting functionally. This functionally is optional but when configured by customers, allows you to receive summaries via email.United States
Sentry Error tracking; We use Sentry to track client side errors, which sometimes include minimal customer information to track the source of the issue.United States
Slack Collaboration; We use Slack for internal collaboration, including debugging customer-reported issues which occasionally include customer information.United States
SpaceXAI AILLM Inference and Training; We occasionally use SpaceXAI to provide LLM inference and training. We never use customer data to train LLMs.Global
Stripe Inc Payment processing; Stripe stores customer payment information and processes payments for us.Multi-region
Temporal Distributed software workflows; Temporal is an integral part of our infrastructure. Any customer data processed via Temporal is encrypted, and Temporal does not have decryption keys.United States
Terminal We occasionally use Terminal to provide LLM inference and training. We never use customer data to train LLMs. Effective date: September 8, 2026LLM Inference and Training
Together AILLM Inference and Training; We occasionally use Together to provide LLM inference and training. We never use customer data to train LLMs.Global
WorkOS In some cases, for Enterprise customers, we leverage WorkOS to integrate with your Identity Provider systems to better improve our summaries.; Integration with Identity ProvidersUnited States
Zapier We use Zapier to automate internal workflows and triage customer support requests.; Workflow automationUnited States

Service status

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90 days agotoday

  • 10 incidents in 57 days
  • 6 major or critical
  • 5 min typical time to resolve
  • 1 h 15 min longest major
BeganIncidentImpactLasted
[automated] Macroscope API — Degraded Performancecritical29 min
[automated] Macroscope API — Degraded Performanceminor5 min
[automated] Macroscope API — Degraded Performanceminor5 min
Code Review Outagemajor48 min
[automated] Macroscope API — Degraded Performanceminor5 min
Service Outage - Code Reviewmajor1 h 15 min
[automated] Macroscope API — Service Disruptioncritical5 min
[automated] Macroscope API — Degraded Performanceminor9 min

Incidents per month

0 4 8 Jul 2026: 0 incidents · before our history of this status page Aug 2026: 2 incidents (1 critical, 1 major) · partial: our history begins Aug 4 · typical time to resolve 4 min Sep 2026: 8 incidents (2 critical, 2 major, 4 minor) · typical time to resolve 9 min Jul 2026Aug Sep

critical major minor no impact stated before or partly before our history

Components affected

ComponentIncidents
API8
Web Dashboard1

As Macroscope's status page reports its own incidents (scheduled maintenance left out), read every few hours since (evidence)

Changes

None since tracking began.

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