# FlowLens vs Superlog

FlowLens records 630 monthly visits with +27.8% month-over-month growth and Freemium pricing. Superlog records 1,313 monthly visits with -75.2% growth and Freemium, Paid, Contact for Pricing, Free pricing.

| Metric | [FlowLens](https://openaitools.app/tool/flowlens) | [Superlog](https://openaitools.app/tool/superlog) |
| :--- | :--- | :--- |
| Website URL | https://magentic.ai/flowlens | https://superlog.sh |
| Categories | AI Developer Tools, AI Agent, AI Code Assistant, AI Copilot | AI Agent, AI Code Assistant, AI Developer Tools, AI Code Review |
| Pricing Model | Freemium | Freemium, Paid, Contact for Pricing, Free |
| Monthly Visits | 630 | 1,313 |
| MoM Growth Rate | +27.8% | -75.2% |
| Primary Market | United Kingdom | Global |
| Direct Visits | 253 | 507 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## FlowLens

FlowLens is built for the workflow that has emerged around AI coding agents: you still find the bug in a browser, but you no longer want to hand-translate what happened into a prompt. Instead of taking screenshots, copying console errors, and writing long descriptions, you click record, reproduce the problem, and share a single link. That link carries the video, console output, network requests, user actions, and browser state in a form both teammates and AI agents can consume.

The tool is a Chrome extension plus an MCP server published by Magentic AI, an independent company building developer tools for AI-native development. The extension handles capture and sharing; the MCP server gives agents like Claude Code, Cursor, GitHub Copilot, Windsurf, and Gemini CLI structured access to the recorded flow. Because the data is structured rather than textual, agents can reason about ordering, failed requests, and state changes rather than guessing from a prose summary.

Privacy gets explicit attention. PII redaction runs locally before anything leaves your machine, recordings are encrypted, and custom filters let you decide what is captured in the first place. Local flows stay on your device and are unlimited on every plan, which suits debugging sensitive data or working offline. The free tier adds 30 shareable flows per month, three projects, and instant replay, which retroactively saves the last minute of browser activity if you spot a bug without having hit record.

**Pricing & Plans:** Free forever: unlimited local flows, 30 shareable flows per month, instant replay, AI debugging via MCP, 3 projects, 3 users, and 5-minute recording time. Teams is $11 per user per month (early access) with unlimited shareable flows, Jira/GitHub/Slack integrations, 10 projects, 30 users, 10-minute recordings, and priority support. Enterprise pricing is custom. Open-source projects and non-profits qualify for free Teams access.

- **Synchronized screen recording:** FlowLens records video synchronized with technical events, so a timeline of what the user saw lines up with what the browser was doing.
- **Network activity capture:** Full request and response data with sensible filters, so an agent can see exactly which call failed and in what order.
- **Console and stack trace logs:** Errors, warnings, debug logs, and stack traces collected automatically while recording — no manual copy-pasting of console output.
- **User interactions and storage state:** Clicks, form inputs, CSS selectors, and timestamps, plus localStorage, sessionStorage, and cookie state at the moment of failure.
- **MCP server for AI agents:** The Chrome extension captures, and the FlowLens MCP server exposes everything to your agent, so bug fixes start with complete context instead of a written description.

**Strengths:** Turns a bug report into one link instead of a long written description; MCP integration means agents receive structured context, not a paraphrase; PII redaction happens locally and unlimited local flows are free; Records far beyond video — network, console, storage, and interaction data

[Profile (Markdown)](https://openaitools.app/tool/flowlens.md)

## Superlog

Superlog positions itself as "monitoring for the AI era." Instead of only charting the telemetry you already send, it actively audits it: an Overview check flags missing logs, missing traces, and tags that violate OpenTelemetry semantic conventions, then hands your coding agent a ready-made prompt to close each gap.

On the frontend side, the browser SDK captures exceptions that never reach your backend — a checkout page can return HTTP 200 and still crash a user's session. Because Superlog maps stack traces through source maps, an agent can point at the exact failing line and turn the fix into a permanent alert or synthetic test.

The automation layer is where the product differentiates. You define a trigger (a Sentry checkout error, a Slack message, a webhook, or a schedule), grant the agent scoped repositories and connected accounts, and give it a runbook: trace the failed checkout, check recent deploys, identify affected customers. Investigations execute in isolated sandboxes and report back in the alert thread with the failing trace plus a pull request for review. Superlog also checks prior reports so recurring alerts get progressively less noisy.

It is designed to sit alongside your existing stack rather than replace it. Sentry, Datadog, Grafana, Google Cloud, PostHog, GitHub, Slack, and AWS all connect, and you can either send telemetry through OpenTelemetry or keep it with your current provider. Teams can bring their own model keys or ChatGPT/Codex subscriptions and switch providers without rebuilding workflows.

**Pricing & Plans:** Free tier at $0/month including a $5 one-time Superlog AI grant and 2 cloud machine hours. Pro is $100/month (50 machine hours, up to 3 concurrent machines), Team is $200/month (unlimited seats, 500 machine hours, up to 10 machines, shared workspaces), and Enterprise is custom with SSO/SAML, audit logs, and a support SLA. Telemetry is billed per event: every plan includes 1M spans, 5M logs, and 10M metric points monthly, then $0.60 per million spans, $0.50 per million logs, and $0.20 per million metric points, with 30-day retention.

- **Telemetry gap detection:** Overview scans for missing logs, missing traces, and tags that break OpenTelemetry conventions, then generates a suggested agent prompt to repair each gap.
- **Browser error capture with source maps:** A frontend SDK records exceptions that a 200 response would otherwise hide, and source maps resolve them to the exact line that failed.
- **Runbook-driven investigation automations:** Trigger agents from Sentry, Slack, webhooks, or a schedule, scope their repositories and accounts, and have them reply in the alert thread with traces and pull requests.
- **Bring your own model and telemetry backend:** Use your own API key or ChatGPT/Codex subscription, pick your model and harness, and connect existing tools like Sentry, Datadog, or Grafana over OpenTelemetry.
- **Isolated sandboxes and scoped access:** Each agent works inside an isolated investigation sandbox with only the repositories and connected accounts you explicitly allow, with SSO, SAML, and audit logs on Enterprise.

**Strengths:** Actively audits telemetry for gaps instead of only visualizing what is sent; Agents operate with scoped repository access inside isolated sandboxes; Works alongside Sentry, Datadog, Grafana, and cloud providers rather than forcing a migration; Transparent, usage-based telemetry pricing published per million events

**Limitations:** Cloud machine hours and AI usage are separate meters, so cost needs monitoring as automations scale; Telemetry retention is capped at 30 days, with longer retention requiring a conversation with sales; Bring-your-own-model setups mean you manage provider keys and billing yourself

[Profile (Markdown)](https://openaitools.app/tool/superlog.md)

## Frequently Asked Questions

### How do FlowLens and Superlog compare in monthly traffic?

FlowLens has 630 monthly visits, while Superlog has 1,313. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

FlowLens has a month-over-month growth rate of +27.8%; Superlog has -75.2%.

### How does pricing compare?

FlowLens: Freemium. Free forever: unlimited local flows, 30 shareable flows per month, instant replay, AI debugging via MCP, 3 projects, 3 users, and 5-minute recording time. Teams is $11 per user per month (early access) with unlimited shareable flows, Jira/GitHub/Slack integrations, 10 projects, 30 users, 10-minute recordings, and priority support. Enterprise pricing is custom. Open-source projects and non-profits qualify for free Teams access. Superlog: Freemium, Paid, Contact for Pricing, Free. Free tier at $0/month including a $5 one-time Superlog AI grant and 2 cloud machine hours. Pro is $100/month (50 machine hours, up to 3 concurrent machines), Team is $200/month (unlimited seats, 500 machine hours, up to 10 machines, shared workspaces), and Enterprise is custom with SSO/SAML, audit logs, and a support SLA. Telemetry is billed per event: every plan includes 1M spans, 5M logs, and 10M metric points monthly, then $0.60 per million spans, $0.50 per million logs, and $0.20 per million metric points, with 30-day retention.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Datadog](https://openaitools.app/tool/datadog) | 5,175,760 | -4.8% | Freemium, Free Trial, Paid, Contact for Pricing, Free | Unified observability, security and incident response for cloud-scale engineering teams | [.md](https://openaitools.app/tool/datadog.md) |
| 4 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 5 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |
| 6 | [Jam](https://openaitools.app/tool/jamgpt) | 570,598 | -6% | Freemium, Paid | Screen recorder that captures bugs with full technical context | [.md](https://openaitools.app/tool/jamgpt.md) |
| 7 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |
| 8 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Open-source AI automation that unifies agents, flows and 770+ app integrations | [.md](https://openaitools.app/tool/activepieces.md) |
| 9 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |
| 10 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Evaluate, monitor, and govern your AI applications in production | [.md](https://openaitools.app/tool/maxim-ai.md) |

---
Source: https://openaitools.app/compare/flowlens-vs-superlog

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)