# Fleak vs Gumloop

Fleak records 3,778 monthly visits with -24.4% month-over-month growth and Freemium, Contact for Pricing pricing. Gumloop records 379,557 monthly visits with -21.1% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Fleak](https://openaitools.app/tool/fleak-ai-workflows) | [Gumloop](https://openaitools.app/tool/gumloop) |
| :--- | :--- | :--- |
| Website URL | https://fleak.ai | https://www.gumloop.com |
| Categories | AI Workflow, AI API, No-Code&Low-Code, Large Language Models (LLMs) | AI Workflow, No-Code&Low-Code, AI Agent, AI Web Scraping |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 3,778 | 379,557 |
| MoM Growth Rate | -24.4% | -21.1% |
| Primary Market | United States | United States |
| Direct Visits | 1,500 | 125,579 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Fleak

Fleak addresses a problem most security teams recognize: SIEM bills are driven by volume, not by value. Routine logins, benign DNS queries, bulk EDR telemetry and ordinary cloud audit calls are ingested at hot-path prices even though analysts never alert on them, and every new source arrives with its own parser and schema variation. Fleak interposes a pipeline layer that identifies each event type, checks what every downstream tool needs, then reshapes and routes the log accordingly — correlation data to the SIEM, hunt corpora to object-storage-priced lakes, compliance records to an archive, and pure noise nowhere at all.\n\nThe platform's defining characteristic is that the pipelines maintain themselves. Teams describe the routing they want in plain English and Fleak's copilot builds it; when a vendor renames a field or an agent version changes a log format, Fleak detects the drift, generates corrected configuration and redeploys, with human review optional. The vendor claims an average self-heal time of about three minutes and cites reductions of 60–80% in SIEM ingest with 30–50% lower SOC spend.\n\nFleak supports 500+ integrations and can run as managed SaaS, in your own cloud, on-premise or air-gapped. Governance features include fine-grained access control at the data layer, full audit trails, in-flight PII masking, SOC 2 Type II alignment, and an explicit commitment that production data never touches an AI model. Beyond SIEM cost optimization it targets detection engineering, SIEM migrations and bake-offs, Cribl Lake migration, observability log optimization, OT/IoT telemetry normalization, and AI agent observability including an MCP server.

**Pricing & Plans:** Freemium entry with paid plans quoted through sales — Fleak publishes no public price list, so teams typically need to book a demo for a quote based on data volume and deployment model (managed SaaS, customer cloud, on-premise or air-gapped).

- **Intent-based routing:** Fleak evaluates each event type against what every downstream tool needs, then sends real-time correlation to the SIEM, hunt data to the lake, compliance logs to the archive and noise nowhere.
- **Self-healing pipelines:** When an upstream source changes its schema, Fleak detects the drift, generates corrected configuration and redeploys — the vendor cites an average heal time around three minutes.
- **OCSF and UDM normalization:** Every source is normalized into a single schema on arrival, so 280 sources stop meaning 280 parsers and 280 detection variations.
- **AI copilot and MCP server:** Pipelines can be described in plain English and built automatically, with an MCP server and AI observability for agent sessions.
- **Governed delivery anywhere:** Fine-grained access control at the data layer with full audit trails, in-flight PII masking and SOC 2 Type II alignment, deployable as SaaS, in your cloud, on-premise or air-gapped.

**Strengths:** Positions itself as a layer in front of the SIEM rather than a replacement, so existing detection investments stay useful; Self-healing pipelines remove much of the manual parser maintenance that breaks rules after vendor updates; Single-schema normalization (OCSF/UDM/CSF) simplifies detection logic across hundreds of sources; Deployment flexibility including on-premise and air-gapped, with an explicit claim that production data never touches an AI model

**Limitations:** No published pricing, so budgeting requires a sales conversation; Value depends on having enough log volume and tool sprawl for routing savings to outweigh the integration effort; The self-heal and cost-reduction figures cited on the site are vendor-provided benchmarks rather than independently verified results

[Profile (Markdown)](https://openaitools.app/tool/fleak-ai-workflows.md)

## Gumloop

Gumloop positions itself as "agent infrastructure" for teams that want AI to execute work rather than just answer questions. You describe a task in plain language, pick a model, attach the connectors your company already uses (Slack, HubSpot, Salesforce, Gmail, Gong, and hundreds more), and the agent runs it — on a schedule, on a trigger, or in a shared chat where colleagues can @mention it. Everything the agent can do is mirrored from what a human would do, including logging into sites with a saved credential, clicking through interfaces, uploading files, and pulling data back out.

A big part of the pitch is governance. Gumloop puts credentials in a vault agents can use without ever seeing, records every browser session step by step with passwords masked, and gives admins role-based access, audit logs, AI spend insights, and per-agent model controls. Multiple providers — Anthropic, OpenAI, Google, xAI and open models — are available side by side, so teams can route cheap work to cheap models and hard reasoning to frontier ones.

Pricing is usage-based with a credit system layered on top of a seat-free plan structure. The Pro tier starts at $37/month and bundles 20,000 credits, unlimited agents and unlimited seats, plus an orchestration fee on top of usage; Enterprise adds custom pricing, VPC options, SSO/SCIM, connector policies and dedicated support. There is a 14-day free trial to start.

**Pricing & Plans:** 14-day free trial; Pro starts at $37/month including 20,000 credits with unlimited agents and seats plus an orchestration fee on usage; Enterprise is custom-priced with contact sales.

- **No-code agent builder:** Describe the outcome you want and let teammates who understand the problem assemble the agent — no scripting or learning curve required.
- **400+ connectors and app triggers:** Wire agents into Slack, HubSpot, Salesforce, Gmail, Gong, NetSuite, Shopify and hundreds more tools, then fire them on schedules, webhooks or events.
- **Real browser with a credential vault:** Agents sign in with saved logins or 1Password, browse from trusted connections, clear CAPTCHAs, and hand the live session to a human when needed.
- **Any model, side by side:** Run 35+ models from Anthropic, OpenAI, Google, xAI and open-source providers, or bring your own API keys, with per-agent access control.
- **Enterprise governance by default:** Session recordings with masked passwords, audit logs, SCIM/SAML, role-based access, AI spend insights and custom data-retention rules.

**Strengths:** Genuinely no-code: non-engineers can ship working agents without touching Python or JSON; Very broad connector library plus a real browser, so agents can reach tools that have no API; Strong enterprise controls — credential vault, masked session recordings, audit logs, RBAC, SSO; Model-agnostic with BYO API keys, which helps control cost and avoid lock-in

**Limitations:** Credit-plus-orchestration-fee pricing can be hard to forecast at high volume; The platform is evolving fast from workflows toward agents, so some docs and legacy features may feel transitional; Unlimited seats means real cost scales with usage rather than headcount, which surprises some buyers; Advanced governance (VPC, policies, dedicated support) sits behind custom Enterprise pricing

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

## Frequently Asked Questions

### How do Fleak and Gumloop compare in monthly traffic?

Fleak has 3,778 monthly visits, while Gumloop has 379,557. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Fleak has a month-over-month growth rate of -24.4%; Gumloop has -21.1%.

### How does pricing compare?

Fleak: Freemium, Contact for Pricing. Freemium entry with paid plans quoted through sales — Fleak publishes no public price list, so teams typically need to book a demo for a quote based on data volume and deployment model (managed SaaS, customer cloud, on-premise or air-gapped). Gumloop: Freemium, Paid, Contact for Pricing. 14-day free trial; Pro starts at $37/month including 20,000 credits with unlimited agents and seats plus an orchestration fee on usage; Enterprise is custom-priced with contact sales.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | Executes autonomous multi-step web browser tasks, offering stronger general agentic execution than Gumloop's structured node pipelines. | [.md](https://openaitools.app/tool/manus.md) |
| 2 | [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) |
| 3 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Connects thousands of popular apps with robust traditional automations, but offers less native AI agent flexibility than Gumloop. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 4 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Provides powerful open-source node-based workflow automation, giving you more self-hosting control and flexibility than Gumloop. | [.md](https://openaitools.app/tool/n8n.md) |
| 5 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Provides a visual builder for custom AI agents and workflows, similar to Gumloop's automation capabilities. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 6 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | Builds recurring automated business workflows connected to enterprise applications, mirroring Gumloop's integration focus. | [.md](https://openaitools.app/tool/creao.md) |
| 7 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Combines AI task management with workflow automation, offering a more collaborative workspace than Gumloop's data pipeline focus. | [.md](https://openaitools.app/tool/taskade.md) |
| 8 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | Focuses specifically on cloud web scraping and lead generation automation rather than general AI agent workflows. | [.md](https://openaitools.app/tool/phantombuster.md) |
| 9 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Delivers enterprise-grade security and governance for automated workflows, but requires more deliberate setup than Gumloop. | [.md](https://openaitools.app/tool/tines.md) |
| 10 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Offers an open-source automation builder with prebuilt connectors, providing a self-hostable alternative to Gumloop's cloud platform. | [.md](https://openaitools.app/tool/activepieces.md) |

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Source: https://openaitools.app/compare/fleak-ai-workflows-vs-gumloop

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