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Parity

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Entry pricePrice not readable on the homepage; plan inclusions and a 14 day money back guarantee are listedFull pricing detail

AI agent for cloud infrastructure reliability and Kubernetes operations that detects and explains production regressions after deploys.

Parity is an AI SRE built as the first line of defense for on-call engineers working with Kubernetes. Given an alert or a description of the issue, it opens an investigation, gathers information from the cluster, tests hypotheses to find the root cause and suggests remediation, and it follows the customer's own runbooks when the alerts they are connected to fire.

Engineers can also chat with the cluster and mention @Parity in Slack. A remediator installed with Helm runs in the customer's cluster with read only access by default, its reach set by Kubernetes RBAC, and the whole platform can be self hosted, with bring your own model providers or open source models on the customer's infrastructure.

Vendor details

Canonical URL

https://www.tryparity.com

Category

SRE / DevOps agent

Company status

independent

Use cases & customers

Primary use cases

Kubernetes incident triageroot cause analysisrunbook executionon-call support

Target customers

on-call engineersSRE teamsDevOps teamsstartups

Deployment options

SaaS with in-cluster remediatorself-hosted platform

Integrations

Kubernetes (in cluster remediator, read only by default), the customer's existing alerts through connected runbooks, and Slack.

In practice

A pod crash loops at 2am and the on call engineer is half awake. The alert opens a Parity investigation that gathers data from the cluster, tests hypotheses and comes back with a root cause and a suggested fix.

The team already has runbooks for its common alerts. It adds them to Parity and connects them to the alerts, so Parity follows each runbook the way an engineer would when the alert fires.

A platform engineer wants to know how a deployment is configured without digging through kubectl. They mention @Parity in Slack and ask the cluster directly, through a remediator that only has read access.

Agentic Index coverage score

6.5 / 14 capabilities · 46%

Integrations & Tool Calling Partial

Parity connects to the customer's VPC, and its in cluster remediator has 'read-only access to your cluster' by default, 'the same level of read-only access as a traditional observability platform', plus a Slack app. It gathers data and tests hypotheses, and Parity describes no write action in outside systems. It names no integrations with Prometheus, Datadog or PagerDuty.

SourceParity, docs.tryparity.com/security and tryparity.comread 2026-10-06

Workflow Orchestration Full

Customers add their own runbooks, 'connect them to your existing alerts, and Parity will follow them just as you would', so the steps Parity takes are the ones the team writes. Every plan includes unlimited runbooks and runbook executions, and investigations gather cluster data and test hypotheses to reach a root cause in seconds. Parity names no branching syntax for runbooks.

SourceParity, tryparity.comread 2026-10-06

Knowledge Grounding & RAG Partial

Each investigation gathers information from the live cluster and the customer's runbooks at run time, and questions about the cluster's status and configuration are answered from the cluster itself. Parity describes no persisted index, graph or knowledge store over the customer's knowledge.

SourceParity, tryparity.comread 2026-10-06

Human Oversight & Guardrails Partial

The remediator is read only by default and 'there is no way for an LLM to execute dangerous or arbitrary commands on your cluster as the access is controlled via RBAC on the remediator'. Parity suggests remediation for engineers to act on, so the team makes each change itself. Parity describes no approval step before an action goes through.

SourceParity, docs.tryparity.com/securityread 2026-10-06

Security, Identity & Governance Partial

The remediator's reach is set by Kubernetes RBAC in the customer's cluster, with API keys per organization, egress only connectivity and TLS on all traffic to Parity's hosted services. Parity names no attestation, SSO or user roles. Its model providers do not train on user data.

SourceParity, docs.tryparity.com/securityread 2026-10-06

Observability & Auditability Partial

Each investigation reports a root cause and remediation suggestions after testing hypotheses, and engineers can chat with the cluster to answer questions about its status and configuration. Parity describes no record of the commands, queries or steps it took.

SourceParity, tryparity.comread 2026-10-06

Memory & State Persistence Not documented

Each investigation gathers what it needs from the cluster when it runs. Parity describes no memory store or retained context across investigations.

SourceParity, docs.tryparity.com/security and tryparity.comread 2026-10-06

Deployment & Data Residency Full

'For organizations with strict security requirements, you can self-host the entire Parity platform', and Parity can help deploy open source models on the customer's infrastructure. The standard remediator runs in the customer's cluster with egress only access. The remediator is a Kubernetes pod that installs with Helm into a namespace the customer picks, in about two minutes.

SourceParity, docs.tryparity.com/security and /quickstartread 2026-10-06

Prebuilt Agents, Templates & Packs Not documented

Runbooks are the customer's own ('If you have runbooks, add them to Parity'). Parity names no prebuilt agents, templates or runbook library. Plans cover unlimited runbooks, runbook executions, investigations and users, with a 14 day money back guarantee.

SourceParity, tryparity.comread 2026-10-06

Triggers & Channel Coverage Full

Runbooks are connected to the customer's existing alerts so Parity follows them when an alert fires, and an alert opens an investigation. Engineers can also mention @Parity in a Slack message or thread to start the work.

SourceParity, tryparity.com and docs.tryparity.com/slackread 2026-10-06

Model Flexibility & Routing Full

Parity supports 'bring your own model providers' when the platform is self hosted, and can help deploy open source models on the customer's own infrastructure, so the customer chooses the model source. On the hosted service, the underlying model providers do not train on Parity users' data.

SourceParity, docs.tryparity.com/securityread 2026-10-06

APIs, SDKs & MCP Extensibility Not documented

Customers install the remediator with an organization API key and Helm, and add the Slack app. Parity names no API, SDK or MCP server for driving it. Its documentation runs to three pages, covering a quickstart, Slack setup, and safety and security.

SourceParity, docs.tryparity.com/quickstart and docs.tryparity.com/llms.txtread 2026-10-06

Testing, Debugging & Optimization Not documented

Each investigation ends with a root cause and suggested remediation that engineers check for themselves. Parity describes no evaluation harness, scored tests, quality gate or improvement loop for its investigations.

SourceParity, tryparity.comread 2026-10-06

Browser & Computer Use Not documented

Parity works through a read only in cluster remediator and Slack. It names no browser, desktop or computer control.

SourceParity, docs.tryparity.com/quickstartread 2026-10-06

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Price not readable on the homepage; plan inclusions and a 14 day money back guarantee are listed

What is public

Plan inclusions and a 14 day money back guarantee on the homepage; no readable price.

Variable cost rationale

The listed plan is unlimited on runbooks, investigations and users; the price itself is not readable.

Sales call required

Mixed (some tiers require a call)

Free / trial

14 day money back guarantee; no free tier or trial listed

Agentic Index verified 2026-09-29

Alternatives to Parity

The closest documented capability profiles to Parity among SRE and DevOps agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • AlertD8.0 / 14Adds documented Prebuilt Agents, Templates & Packs and APIs, SDKs & MCP Extensibility
  • Avesha9.5 / 14Adds documented Memory & State Persistence and Prebuilt Agents, Templates & Packs, among others
  • Sherlocks.ai7.5 / 14Adds documented Memory & State Persistence and Prebuilt Agents, Templates & Packs
  • Wild Moose7.5 / 14Adds documented Prebuilt Agents, Templates & Packs and Testing, Debugging & Optimization
  • RunWhen10.0 / 14Adds documented Prebuilt Agents, Templates & Packs and APIs, SDKs & MCP Extensibility, among others
  • Kura2.0 / 14A lighter documented profile than Parity

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Head to head

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