RXed AI News

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SCORE 7.1/1015/20 elements Audited 2026-07-24 · RXed table v1.0

Gumloop

The no-code agent builder non-engineers actually keep using: every model included, deep MCP, a real audit trail. You price your workflows, not your seats, and the credit meter is where the surprises live.

SMB toolAutomation & AgentsProductivityResearchFreemium
Vendor
Gumloop, Inc. (formerly AgentHub) · www.gumloop.com
Origin
US — San Francisco
Pricing
Free (5,000 credits/mo, 1 seat) · Pro from ~€34/mo (billed $37, 20k+ credits, unlimited seats) · Enterprise custom. Credit-based usage (~2 credits/standard AI call, ~20 credits/advanced model); 20% off annual.
Users (official only)
Not publicly disclosed (private WAU chart shown, no figure); ~24 employees as of Mar 2026. Named customers: Shopify, Ramp, Gusto, Samsara, Instacart, Opendoor. (source, 2026-03-12)

Element scores

Reactive
Retrieval & Memory
Orchestration
Validation
Models
Primitives
Pr7
Prompts
Em
Embeddings
Cx7
Context
Tr8
Tracing
Lg8
LLM
Compositions
Fc8
Function calling
Vx
Vector store
Rg6.5
RAG
Gr7
Guardrails
Mm6
Multimodal
Deployment
Ag8
Agents
Ft
Fine-tuning
Fw7
Frameworks & harnesses
Ev5.5
Evaluations
Sm6.5
Small models
Emerging
Ma7
Multi-agent
Sy
Synthetic data
Pc8
Protocols
In
Interpretability
Th7
Thinking models
Tap or hover any element to see why it got that score.

Strengths

Non-engineers pick it up in minutes and keep using it — that stickiness is what won Benchmark's $50M Series B in March 2026. Model-agnostic with every major provider bundled, 150+ connectors, and one of the deepest MCP implementations in the category (MCP nodes, a 40-tool MCP server, custom MCP servers). Gumstack gives security teams a single audit trail over every agent tool call across the org, and it is SOC 2 Type 2 and GDPR compliant.

Honest dings

Credit-based pricing is the real cost question: advanced-model calls burn ~10x the credits of standard ones, and heavy AI usage can push a team well past the $37 Pro headline. Embeddings, a hosted vector store, fine-tuning and synthetic data are simply not there — this is an orchestration layer, not an AI platform. Evaluations are listed but thin, and multi-agent coordination is still young.

Best for: Marketing, sales, ops and support teams that want to automate AI-heavy, multi-step work without waiting on engineering — and are willing to watch the credit meter as workflows scale.

Sources

Every audit lists the research it rests on — transparency and traceability are the product. Tools evolve: each audit is a snapshot of its audit date, and re-audits supersede older versions (kept below for reference).