Agentic Index
Baz vs Qodo (2026)
Both vendors last verified
Both go beyond review into code quality more broadly. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Qodo, formerly CodiumAI, is an AI code review and governance platform pairing specialist review agents with rules mined from pull request history, cross repo review and an Agentic Toolbox for Claude Code, Codex and Kiro, on team credits at $0.012 each from a 2,500 credit pack a month, after a 14 day trial. Baz reviews, governs and secures across the lifecycle, with a specification validator and a pre code gateway catching risky plans before anything is written. Qodo's self learning standards are the more immediately useful capability for most teams, and Baz's plan gateway is the more interesting idea.
On the Agentic Index coding agent ranking, Baz clears the bar and Qodo does not. Baz documents all five merge loop capabilities in full; Qodo does not document observability and auditability in full, nor human oversight and guardrails. 3 of the 96 vendors in the lane clear it. See the coding agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Baz and Qodo are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Baz if
- Governance and security across the lifecycle, not review alone, is the scope you need.
- Catching risky plans before code exists is earlier than any test can reach.
- Design and ticket validation matters because your bugs are often specification mismatches.
Choose Qodo if
- Standards drift is the gap, and rules mined from your own review history are how you close it.
- Published credit pricing with a 14 day trial lets a team adopt it before procurement notices.
- Review, cross repo checks and governance in one purchase rather than three.
| Feature | B Baz |
Q Qodo |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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BazIntegrations & Tool Calling Integrations cover GitHub, GitLab and Azure DevOps for source control; Jira, Linear, Monday, Shortcut, Azure DevOps Boards, YouTrack and Fibery for tickets; Figma for design; Notion and Google Docs for knowledge; Datadog and Sentry for the SRE agent; Slack for chat; and preview environments and a sandbox for running the app. Sourcebaz.ai/docs/basics/integrationsread 2026-09-29 |
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QodoIntegrations & Tool Calling Git platform integrations cover GitHub cloud and Enterprise Server, GitLab cloud and self managed, Bitbucket Cloud and Data Center, Azure DevOps, and Gerrit on Enterprise across multi tenant, single tenant and on premises deployments, with the open source PR-Agent adding CodeCommit and Gitea. Before a pull request exists, the Agentic Toolbox installs as verified plugins on the Claude Code, Codex and Kiro marketplaces or over MCP and a CLI, so coding agents can fetch rules, review local changes and resolve findings; the IDE plugins, formerly Qodo Gen, retire on 30 October 2026 in favor of the Toolbox according to their marketplace changelog, and the docs no longer carry an IDE section although the homepage FAQ still lists VS Code, JetBrains and Visual Studio. Chat with Qodo answers in the pull request when addressed as qodo, and reviews draw ticket context from linked issues and Azure Boards work items. Sourceqodo.ai, docs.qodo.ai/llms.txt, docs.qodo.ai/whats-new (Qodo 2.9, 2.10 and 3.0) and docs.pr-agent.airead 2026-10-28 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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BazWorkflow Orchestration Multiple agents divide the work on a change: SDLC agents (Fixer, Merger, SRE, Skill Maintainer) run independently in sandboxed environments alongside a set of individually scoped review agents, Merger decides after CI passes whether a pull request is safe to merge, and Planner produces an implementation plan that goes through approval before code is written. Sourcebaz.ai/docs/agents/baz-agents and baz.ai/changelog 2026-07-01read 2026-09-29 |
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QodoWorkflow Orchestration Review is split across specialist agents for logic and bugs, standards, architecture and risk that run in parallel with dedicated context, and a judge agent consolidates their findings, removes duplicates, resolves conflicts and filters by confidence; a finding recommendation agent then ranks each issue against PR history. Review effort mode, in research preview, routes each change to a review depth matched to its risk, and Spec, Design review and Remediation agents, all in research preview, check implementations against linked specs and Figma designs and open a separate remediation pull request for findings above a severity threshold. PR Triage, in research preview since Qodo 3.0, queues open pull requests across repositories and providers under SLA, priority and blast radius policies. Custom agentic quality workflows are an Enterprise feature. Sourcedocs.qodo.ai/core-concepts/qodo-platform-core-capabilities, docs.qodo.ai/whats-new and qodo.ai/pricingread 2026-10-28 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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BazTriggers & Channel Coverage Reviews run automatically when pull requests open across GitHub, GitLab and Azure DevOps, Merger runs after CI passes, and Skills Maintainer can scan on a schedule every three days, weekly or every two weeks. Comment commands, the CLI and the MCP server add runs on demand. Sourcebaz.ai/changelog 2026-08-10 and docs/agents/baz-agentsread 2026-09-29 |
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QodoTriggers & Channel Coverage Reviews fire automatically on pull request events across GitHub, GitLab, Bitbucket and Azure DevOps and on Gerrit change events for Enterprise, with the open source PR-Agent extending coverage to CodeCommit and Gitea. People reach Qodo by addressing it as qodo in a pull request comment or thread, through slash commands, from the Agentic Toolbox's review skill inside a coding agent before a pull request exists, and from the CLI in pre commit hooks and CI gates; the IDE plugins that ran pre commit audits retire on 30 October 2026. Sourceqodo.ai, docs.qodo.ai/whats-new and docs.pr-agent.airead 2026-10-28 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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BazKnowledge Grounding & RAG Reviewers ground on the organization's repositories through API endpoints for file search, text grep and cross repository architecture search. They also take product intent from ticketing, Figma, Notion and Google Docs integrations, and the Spec Reviewer checks the code against it. Sourcebaz.ai/docs/account/api-keys, docs/basics/integrations and docs/agents/baz-agents; baz.ai/docs/basics/integrationsread 2026-10-25 |
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QodoKnowledge Grounding & RAG The Context Engine is the platform's knowledge layer and indexes and reasons over the customer's codebases, detecting cross module issues and dependencies across services and across Git providers. PR history indexing indexes each connected repository's pull request history in the background, keeps it current incrementally as pull requests merge and shows its status in the portal, so every finding is classified against how similar issues were handled before. Software Map, in beta, discovers repositories and keeps a live map of their dependencies, contracts and the blast radius of changes, updated with every pull request, and web search for dependency context, in research preview, pulls current documentation for third party libraries. Sourcedocs.qodo.ai/core-concepts/context-engine, /core-concepts/pr-history and docs.qodo.ai/whats-newread 2026-10-28 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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BazMemory & State Persistence Reviewer Memory stores a memory in a reviewer's own memory bank when similar feedback is given more than once, and updates that reviewer's prompt. Each memory can be switched on or off and shows its sources. An organization setting can hold new memories for admin approval before they go live, and admins control who may contribute. No lifetime, expiry or delete path is stated, so a disabled memory stays in the bank. Sourcebaz.ai/docs/agents/working-with-agentsread 2026-10-25 |
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QodoMemory & State Persistence Rule Miner mines the organization's pull request history for recurring accepted review patterns and writes rules from them, up to ten per repository on the first run and more every two weeks, scoped to the organization, repository or the paths they govern and traced back to the pull request each came from. Generated rules either activate directly or wait in a Pending rules tab for an admin to accept; rules can be edited, activated or removed afterwards; and once a rule is active, dismissed suggestions it generates reduce its signal over time so noise fades on its own. The rules persist because the system learned them, not because a person wrote them. Sourcedocs.qodo.ai/governance/rule-enforcement/rule-miner and docs.qodo.ai/whats-newread 2026-10-28 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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BazHuman Oversight & Guardrails Plans generated by Planner go through a dedicated approval workflow before implementation starts, and teammates can review plans together and track revisions, so a person approves before the agent's plan is built. Merger returns a merge, reject or escalate verdict after CI passes and labels the pull request; it approves only when a rule turns on auto approve, and merges only when configured to act autonomously, otherwise the verdict is left for a human reviewer to act on. Sourcebaz.ai/docs/agents/baz-agents and baz.ai/changelog 2026-07-01 and 2026-09-24read 2026-10-28 |
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QodoHuman Oversight & Guardrails Output is advisory, since reviews land as prioritized findings and suggested changes on a pull request that a human accepts or rejects, and Qodo says sitting outside the generation loop lets it check code independently rather than approve its own work. The Remediation agent, in research preview, opens its fixes as a separate remediation pull request for review rather than committing to the branch, mined rules can be held in a pending tab until an admin accepts them, and Review Standards and REVIEW.md let teams encode the rules agents apply, with governance analytics on Enterprise. Qodo has no per action approval gate or runtime guardrail of its own, since the agent does not act autonomously on the codebase, and it does not approve or merge pull requests. Sourceqodo.ai, docs.qodo.ai/whats-new and qodo.ai/solutions/enterpriseread 2026-10-28 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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BazSecurity, Identity & Governance Baz states that it is SOC 2 certified, Enterprise adds SSO, centralized controls and VPC deployment, and API keys are limited to a whitelist of endpoints under the creator's permissions. Sourcebaz.ai/docs/account/security-privacy-and-compliance, baz.ai/pricing and docs/account/api-keysread 2026-09-29 |
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QodoSecurity, Identity & Governance Qodo's homepage says it is SOC 2 Type II certified through independent audit, with the trust center at trust.qodo.ai holding the details, and that code is analyzed and discarded under zero data retention with nothing used to train models. Access controls include SSO and SAML with both service provider and identity provider initiated sign in, roles and permissions, invite only access, restricting reviews to registered users, API key management and scoped context access, with audit logs on Enterprise. Sourceqodo.ai, docs.qodo.ai/whats-new (Qodo 2.6), docs.qodo.ai/account-management and qodo.ai/pricingread 2026-10-28 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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BazObservability & Auditability Session Logs let a team inspect how each run was triggered, where it executed, its status, the major stages it completed, its outcome and its cost, and the API records MCP session events. Sourcebaz.ai/changelog 2026-06-01 and docs/account/api-keysread 2026-09-29 |
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QodoObservability & Auditability Each finding lands on the pull request with an explanation, the relevant snippet, quality labels, evidence and reasoning and suggested remediation, with the evidence section linking to the rule or repository relationship behind it. A Findings page collects findings across the organization, the code review analytics dashboard, in beta, shows how teams respond to findings by repository and author with CSV export, and Enterprise adds audit logs and governance analytics; Qodo describes an audit trail of every issue and compliance flag. None of these is a per step or per tool call record of what the review agents did, since the findings are the output and Qodo does not say what the audit log records. Sourcedocs.qodo.ai/whats-new (Qodo 2.3 and 3.0), qodo.ai and qodo.ai/pricing; docs.qodo.ai/core-concepts/qodo-platform-core-capabilitiesread 2026-10-28 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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BazDeployment & Data Residency Private Mode, on Pro and Enterprise, keeps source code stored only in the customer's own VPC through a file system service pod on AWS EKS, with analysis on Baz infrastructure reading it transiently. Enterprise adds self hosted deployment in the customer's own cloud, and private application review can run the sandbox inside the customer's Kubernetes as a limited preview. Sourcebaz.ai/docs/account/private-mode and baz.ai/pricingread 2026-10-25 |
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QodoDeployment & Data Residency Deployment spans multi tenant SaaS, single tenant SaaS, on premises and fully air gapped environments so code never leaves the customer's infrastructure, with zero data retention where code is analyzed and discarded and no training on customer code; Gerrit and Bitbucket Data Center connect to on premises installs through guided wizards, and PR-Agent can be self hosted with the team's own model keys. Sourceqodo.ai, qodo.ai/pricing and docs.qodo.ai/whats-new (Qodo 2.9 and 3.0)read 2026-10-28 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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BazPrebuilt Agents, Templates & Packs Baz ships named built in agents with their own jobs, among them Fixer, Spec Reviewer and an AI SRE agent. Five core review agents (Code Correctness, Code Quality, Basic Security Patterns, Advanced Security and AI Coding Guidelines) replaced eleven narrower reviewers in October 2026, and teams can build customized agents on top. Sourcebaz.ai/docs/agents/baz-agents and baz.ai/changelogread 2026-10-25 |
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QodoPrebuilt Agents, Templates & Packs Ready made capability comes in several named sets. The specialist review agents (logic and bugs, standards, architecture, risk, a judge agent and a finding recommendation agent) run out of the box, with Spec, Design review and Remediation agents in research preview; the Agentic Toolbox packages skills (Codebase Wisdom, Get Rules, Review, Review Resolver, Manage Standards) that install into Claude Code, Codex and Kiro as verified marketplace plugins or connect over MCP; and Review presets (Minimal, Standard, Comprehensive, or one built by the onboarding wizard) are ready made code review configurations a team picks and switches. Sourcedocs.qodo.ai/agentic-toolbox/agentic-toolbox-overview, /core-concepts/qodo-platform-core-capabilities and docs.qodo.ai/whats-newread 2026-10-28 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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BazModel Flexibility & Routing Baz's agentic reviewers run on OpenAI's GPT-5-Codex with Anthropic Sonnet 4.5 reflections, and Baz chooses the models, with no customer model selection, bring your own key or local model option offered. Sourcebaz.ai/changelog 2025-10-16read 2026-09-29 |
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QodoModel Flexibility & Routing Bring your own key is an Enterprise feature, and Qodo's homepage names the providers it covers: the customer brings its own OpenAI, Anthropic, Azure OpenAI or self hosted models, so the customer chooses who runs inference. Review effort mode, in research preview, lets Qodo match review depth to the risk of each change or a repository hold a fixed mode. Sourceqodo.ai, qodo.ai/pricing and docs.qodo.ai/whats-newread 2026-10-28 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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BazAPIs, SDKs & MCP Extensibility API keys call the Baz REST API (v2, under /api/v2/ with an x-api-key header) and the Baz MCP server for scripts, CI and unattended agents, with twelve endpoints covering reviewer configuration, review discussions, repository search, plan creation and versioning, plan comments and linking pull requests to plans. Sourcebaz.ai/docs/account/api-keysread 2026-09-29 |
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QodoAPIs, SDKs & MCP Extensibility Other systems call Qodo through the Agentic Toolbox, generally available since Qodo 2.9, which connects coding agents, CI/CD pipelines, internal tools and custom applications over MCP or APIs, installs from a CLI, and ships as verified plugins on the Claude Code, Codex and Kiro marketplaces. API keys are managed in the account settings, and repository behavior is configurable through a .pr_agent.toml file, REVIEW.md and the portal. PR-Agent remains open source under community governance, separate from the commercial platform. Sourcedocs.qodo.ai/agentic-toolbox/mcp, /agentic-toolbox/cli, docs.qodo.ai/whats-new and /account-management/manage-api-keysread 2026-10-28 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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BazTesting, Debugging & Optimization Prompt Playground lets a team test a review agent's behavior on real change requests before rollout and tune its tone, scope and strictness without pushing untested agents to production, and Evaluations report reviewer performance with usage metrics and comment tracking. Sourcebaz.ai/changelog 2025-05-22 and 2025-07-29read 2026-09-29 |
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QodoTesting, Debugging & Optimization Qodo is an AI code review and governance platform that runs specialist review agents on every pull request, and before it through the Agentic Toolbox's review skill inside a coding agent, and classifies each finding against the repository's history, so reviewing the customer's change is the product itself; blast radius labels, in research preview, rate each change Large, Medium or Small. Qodo publishes its own AI code review benchmark. Its current pages do not mention test generation or Qodo Cover. Sourcedocs.qodo.ai/core-concepts/qodo-platform-core-capabilities, docs.qodo.ai/whats-new and qodo.ai/pricingread 2026-10-28 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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BazBrowser & Computer Use Spec Reviewer clones the repository, restores dependencies, runs the setup and start commands, waits for the application to become healthy and opens it in a browser to check the built experience against the specification. Sourcebaz.ai/changelog 2026-07-29read 2026-09-29 |
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QodoBrowser & Computer Use The platform works on repositories, pull requests and the IDE through git platform APIs and plugins, and the Design review agent compares code against linked Figma designs rather than driving a browser. Qodo offers no browser control or way to operate software that lacks a programmatic interface. Sourceqodo.ai and docs.qodo.ai/whats-newread 2026-10-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | B Baz |
Q Qodo |
|---|---|---|
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Entry price Lowest public entry point |
Pro from $30 per active developer per month, plus Engineering Work Credits at $0.01 each for advanced agents. Enterprise is priced on contact. | Pro Team at $0.012 a credit, pooled across the team, in monthly packs of 2,500 credits ($30, about 18 reviews a month), 5,000 or 20,000, with no user limit and no annual commitment. A 14 day free trial comes first, and Enterprise, for 30 or more users, is custom. |
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Pricing confidence How public the numbers are |
Public, partial | Public, partial |
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Billing Primary billing axis |
Per active developer per month for access and standard review, plus Engineering Work Credits at $0.01 each for advanced agent sessions. | Credits pooled across the team at $0.012 a credit, bought in monthly packs on Pro Team, with no seat price. Enterprise is a custom contract. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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No free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
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Pricing verified When this pricing was last checked |
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