Rectify
Conversational AI operations agent for monitoring, support, and debugging.
Rectify is a smart consolidation play for AI-first startups that want monitoring, support, and feedback in one conversational workspace. The BYOK model keeps costs low, and the MCP server with OAuth (April 2026) extends automation beyond the platform. However, teams needing deep custom analytics or traditional UI workflows may find the natural-language interface limiting. For a simple monitoring + support combo, it rivals Sentry and Zendesk at a fraction of the cost; for complex enterprise needs, consider dedicated tools.
Verified 3d ago · liveness 71/100 · cite: rightaichoice.com/tools/rectify
- SaaS founders wanting a single tool for monitoring, support, and feedback
- Small product teams using AI coding assistants like Cursor or Claude
- Early-stage startups reducing tool sprawl and costs with BYOK
- Non-technical founders who prefer conversational interfaces
- Large enterprises requiring on-prem deployment or SOC 2 compliance
- Teams needing deep custom analytics or advanced filtering
- Users who dislike conversational AI and prefer traditional UI workflows
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Skip Rectify if you need enterprise-grade compliance (SOC 2, on-prem), deep custom analytics, traditional UI workflows, or high-volume support with SLAs and advanced routing—it's built for conversational AI-first small teams, not complex enterprises.
AI credits are one-time per plan—$5 on Build, $10 on Launch, $15 on Accelerate—and once depleted, you'll need to pay for more or use BYOK API keys.
Rectify's pricing is tailored for budget-conscious founders and small teams: the free Idea plan is a solid starting point, while Build at $29/mo and Launch at $59/mo undercut most dedicated monitoring (Sentry, Datadog) and support (Zendesk) tools. The BYOK model lets you skip built-in AI credits entirely, making it cheaper than competitors that bundle AI costs. However, for larger teams needing more replays or monitors, enterprise plans at custom pricing may be less predictable.
In short
Rectify — Conversational AI operations agent for monitoring, support, and debugging. Best for SaaS founders wanting a single tool for monitoring, support, and feedback, Small product teams using AI coding assistants like Cursor or Claude, Early-stage startups reducing tool sprawl and costs with BYOK. Free to start; paid plans from $29/mo.
What's new in Rectify
Checked 3 days agoAcross the latest 2 updates: 1 feature update and 1 news mention.
Rectify MCP With OAuth: Run Your SaaS From a Conversation
Rectify MCP now supports OAuth, enabling direct SaaS control from chat via MCP-compatible tools like Claude and Cursor.
ClawdBot: The Complete Technical Guide to Running Your Own AI Assistant on a $5 VPS
Rectify publishes a technical guide for deploying an AI assistant on a budget VPS, detailing setup and integration.
What people actually say about Rectify — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
87 mentions across 5 sources (Hacker News, Bluesky, Stack Overflow, GitHub, Lemmy) · researched Jul 6, 2026.
- +BYOK model avoids API markup costs for AI agent tasks.
- +Unified conversational interface for debugging, monitoring, and support.
- +Session replay with natural language queries simplifies root cause analysis.
- +AI-first support inbox auto-drafts replies and escalates appropriately.
- +Real-time uptime monitoring across HTTP, TCP, DNS, and ICMP.
- −Zero user reviews or community feedback found in scraped data.
- −Name collision with common English word hinders online searchability.
- −No confirmed integrations or platform support listed.
- −Free Idea plan likely very limited; pricing jumps quickly.
- −Reliability at scale unproven due to lack of user testimonials.
- • AI usage beyond plan credits may incur extra per‑task costs
- • BYOK keys still count toward token usage — no free tier unlimited
Viability Score
How well maintained and how widely used is Rectify? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Uptime monitoring (HTTP/HTTPS, TCP, DNS, ICMP)
- AI-powered session replay with rage click and error detection
- AI-first support inbox (AI-first, AI-only, human-only modes)
- On-demand code scanning for GitHub with A-E ratings
- Branded status pages with MTTR tracking
- SSL certificate monitoring
- Alerts via Slack, Discord, email, or webhooks
- Bug reporting with annotated screenshots and Loom recordings
- PRD prompt generator (JSON output)
- Smart code snippets saved in browser
- MCP server with OAuth (April 2026) for Claude/Cursor/IDE
- Chrome extension for debugging and docs capture
- BYOK AI model support (Deepseek, Gemini, Claude, OpenAI, Open Router)
- Session widget for feedback collection
- Workflow automations across feedback, roadmap, scans, and more
About Rectify
Rectify is an all-in-one platform for founders and small teams shipping fast with AI coding tools. It centralizes uptime monitoring, session replay, support inbox, code scanning, roadmap, changelog, and feedback into a single workspace, all controlled through natural language conversation with its AI agent, Quanta. Instead of configuring filters or learning query languages, you ask Quanta to find error sessions, draft support replies, check uptime, run code scans, or move roadmap cards. The platform serves over 1,000 products and aims to replace a stack of separate tools with one conversational interface. For monitoring, Rectify tracks uptime across HTTP/HTTPS, TCP, DNS, and ICMP, with alerts to Slack, Discord, email, or webhooks, plus branded status pages and SSL certificate monitoring. Session replay leverages AI to surface rage clicks, errors, and drop-offs—describe what you're looking for and get answers instantly. The support inbox offers three modes—AI-first, AI-only, or human-only—with Quanta drafting replies using full conversation context and escalating when needed. Code scanning on GitHub repos flags bugs and security vulnerabilities with A-E ratings, including file path and fix recommendations. Rectify also includes bug reporting with annotated screenshots and Loom recordings, a PRD prompt generator that outputs JSON for AI-friendly specs, smart code snippets saved in the browser, and an MCP server with OAuth (April 2026) for connecting Claude, Cursor, or any MCP-compatible IDE. The Chrome extension brings debugging and documentation directly into your browser, capturing console logs and network requests during sessions. A BYOK model lets you bring your own AI API keys—Deepseek, Gemini, Claude, OpenAI, Open Router—with zero markup, keeping costs low. Pricing runs from a free Idea plan to a $99/month Accelerate plan, plus a lifetime Believer plan at $699. Rectify targets budget-conscious founders using Cursor or Claude, positioning itself as a cost-effective alternative to separate monitoring, support, and feedback tools.
Behind the Verdict
Rectify is built for founders and small teams that live in AI-powered workflows. Its core strength is the conversational interface: instead of juggling dashboards and query languages, you ask Quanta to find a session where a user rage-clicked, draft a support reply, or pull a code scan report. This works well for non-technical founders who prefer plain English over filters and SQL. The platform covers a lot of ground: uptime monitoring (HTTP/HTTPS, TCP, DNS, ICMP), session replay with AI-detected rage clicks and errors, a support inbox with three AI modes, on-demand code scanning for GitHub, bug reporting with annotated screenshots and Loom recordings, a PRD prompt generator, smart code snippets, and a Chrome extension for debugging. The MCP server with OAuth (April 2026) is a differentiator—it lets Claude, Cursor, or any MCP-compatible IDE control your SaaS directly from chat, enabling deeper automation. The BYOK model is a major cost-saver: you bring your own AI API keys (Deepseek, Gemini, Claude, OpenAI, Open Router) with zero markup. This keeps monthly costs low, especially for high-volume support or heavy monitoring. Weaknesses: The free plan is limited—10 session replays, 10 support responses, 1 monitor, and $0 AI credits. Higher tiers cap at 5,000 replays and 25 monitors, which may feel restrictive for growing teams. Code scanning is on-demand, not continuous, and only supports GitHub repos. The conversational interface can be limiting for users who prefer traditional UI workflows or need deep custom analytics. Enterprise features like SOC 2 compliance or on-prem deployment are not mentioned, suggesting it's not built for large enterprises. Where it fits best: budget-conscious founders using Cursor or Claude, early-stage startups reducing tool sprawl, and non-technical founders who want a single conversation to run their SaaS. Where it doesn't fit: large enterprises requiring compliance, teams needing advanced filtering or custom analytics, and high-volume support teams needing SLAs and routing. Overall, Rectify is a compelling value proposition for its target audience, but it's not a one-size-fits-all solution.
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Real-world workflow fit
Concrete scenarios for the personas Rectify actually fits — and what changes day-one when you adopt it.
You just launched a SaaS and want to monitor uptime and collect feedback without going broke.
Outcome: Set up a monitor in under 5 minutes, embed the session widget, and ask Quanta to find any error sessions—all from the free Idea plan, with BYOK API keys to avoid AI credits.
Your dev team ships fast but misses bugs in production; you need a way to correlate support tickets with code issues.
Outcome: Link a support ticket to a session replay, run a code scan on the GitHub repo, and have Quanta trace the bug from code scan to roadmap card—all in one conversation, paving the way for MCP-driven fixes from your IDE.
Your co-founder handles support but isn't technical; they need to resolve issues without digging into logs.
Outcome: Use the AI-first support inbox: Quanta drafts replies with full context and escalates when needed, and you can ask Quanta to find rage clicks or errors—no filters or queries required.
Use Cases
- Monitor your infrastructure across HTTP/HTTPS, TCP, DNS, and ICMP protocols with instant alerts via Slack or Discord.
- Ask Quanta to find user sessions where errors, rage-clicks, or drop-offs occurred using plain language.
- Automate support ticket replies with AI drafts that include full conversation context and escalate when needed.
- Pull code scan reports and generate changelogs through natural language commands.
- Link a support ticket to a session replay and trace a bug from code scan to roadmap card.
- Run your SaaS from a conversation using the MCP server with OAuth (April 2026).
Models Under the Hood
as of 2026-08-19
Limitations
- Free plan limits support responses to 10 and session replays to 10.
- Higher tiers cap at 5,000 session replays and 25 monitors.
- AI agent actions depend on one-time credits per plan: Idea gets $0 credits, Build $5, Launch $10, Accelerate $15.
- The BYOK model requires users to manage their own API keys and costs.
- Code scanning is on-demand, not continuous, and limited to GitHub.
as of 2026-08-21
Verification history
We have re-verified Rectify 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Rectify tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Idea
$0/mo
Ideal for
Solo developers or hobby projects just starting out; want to test monitoring and feedback without cost, with 1 project and 1 monitor.
What this tier adds
Free entry point with 1 user, 10 session replays, 10 support responses, 1 monitor, 10 code scans, 1 PRD, and MCP server access.
Build
$29/mo
Ideal for
Small teams prototyping and validating a product; need more replays and projects to iterate quickly.
What this tier adds
Adds 3 users, 3 projects, $5 AI credits, 100 session replays, 3 monitors, 25 code scans, and Chrome extension access.
Launch
$59/mo
Ideal for
Teams ready to ship and scale; need custom domains and higher limits to support real users.
What this tier adds
Adds 10 users, 10 projects, $10 AI credits, 1,000 session replays, 10 monitors, 100 code scans, and custom domain support.
Accelerate
$99/mo
Ideal for
Scaling businesses with more complex needs; need high limits and all features to manage growth.
What this tier adds
Adds 25 users, 25 projects, $15 AI credits, 5,000 session replays, 25 monitors, 100 code scans, and all features unlocked.
Believer (Lifetime)
$699 one-time
Ideal for
Founders who believe in the product and want lifetime access at a one-time cost; ideal for bootstrapped startups.
What this tier adds
One-time $699 payment grants lifetime access to all Accelerate features, saving on monthly fees for long-term use.
Enterprise
Custom
Ideal for
Teams at scale needing custom solutions, higher limits, and dedicated support.
What this tier adds
Custom pricing with tailored solutions, including custom limits, SLAs, and enterprise features.
Where the pricing makes sense
The company stage and team size where Rectify's pricing actually pencils out — and where peers do it cheaper.
Rectify's pricing is tailored for budget-conscious founders and small teams: the free Idea plan is a solid starting point, while Build at $29/mo and Launch at $59/mo undercut most dedicated monitoring (Sentry, Datadog) and support (Zendesk) tools. The BYOK model lets you skip built-in AI credits entirely, making it cheaper than competitors that bundle AI costs. However, for larger teams needing more replays or monitors, enterprise plans at custom pricing may be less predictable.
Setup time & first value
How long it actually takes to get something useful out of Rectify — broken out by persona, not the marketing-page minute.
Individual: ~5 minutes to create an account and set up a monitor or widget. Small team: ~15 minutes to add integrations (Slack, GitHub) and configure workflows. For MCP server with OAuth, ~10 minutes to configure in Claude/Cursor. Most users see first value within the hour.
Switching to or from Rectify
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Sentry: Export your error logs and session data, then use Rectify's API or manual CSV import to bring historical data into the new workspace.
- →From Zendesk: Export your support tickets and import them into Rectify's inbox, mapping conversation history for context.
- →From Linear/Trello: Move your roadmap cards and feedback items into Rectify's roadmap, using its import tools.
- ↗To Sentry: Export your session replays and error data from Rectify using the API, then import into Sentry's project.
- ↗To Zendesk: Export your support conversations from Rectify's inbox and import them into Zendesk, preserving ticket history.
- ↗To a custom stack: Use Rectify's API to export all data (monitors, sessions, scans) in a structured format for migration.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Rectify
Common stack mates teams adopt alongside Rectify, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Rectify vs Spider Cloud
Choose Rectify if you're a SaaS founder or small team wanting an AI-powered ops hub that combines monitoring, support, and feedback in one conversational interface. Choose Spider Cloud if you're building AI agents or RAG pipelines that need fast, cheap, and reliable web data extraction. Rectify is a broader platform; Spider Cloud is a specialized data pipeline tool.
Rectify vs Presto Voice
For QSR chains automating drive-thru ordering with proven revenue uplift, Presto Voice is the clear choice. For SaaS teams needing a unified, AI-first ops platform covering monitoring, support, and debugging, Rectify offers unique conversational control at a freemium entry point. They are not direct competitors: Presto dominates physical restaurant voice AI, while Rectify streamlines digital product operations.
Rectify vs Temporal Ai
For teams building mission-critical AI agents or multi-step workflows that require durability and crash recovery, Temporal AI is the clear choice. For SaaS founders and small teams who need an all-in-one platform for monitoring, support, and debugging with a conversational AI interface, Rectify wins. They solve different problems—choose based on your primary need: orchestration vs. observability/support.
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Frequently Asked Questions
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