Catenary vs NM Signals: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Catenary and NM Signals — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Catenary

Freemium

Local-first spatial IDE that orchestrates Claude Code, Codex, Cursor, and other coding agents on an infinite canvas with visual context wires.

Infinite Canvas: Terminals, Monaco editors, browsers, and git worktrees float on one pannable, zoomable surface so every agent stays visible at once.
Context Wires: Drag a directed wire between panels to pass context to another agent, set to relay automatically or act as a standing permission.
One-Click Worktrees: The New Task button creates an isolated branch, working directory, and agent, colour-coded across sidebar, dock, and canvas.
Monaco Diffs: VS Code's editor inside the canvas with git-aware file tree and side-by-side diffs of everything an agent touched.
Maestro Mode: One agent recruits, briefs, and wires a team of up to ten helpers, with an editable approval card before every action.
Multi-Project Parallelism: Run several projects at once, each with its own canvas and multiple isolated branches, with state preserved on switch.
Local-First Privacy: No account, no telemetry, and zero bytes of source code, prompts, or keys sent anywhere; only two outbound hosts total.
Bring Your Own Keys: Agent CLIs talk directly to Anthropic, OpenAI, or Google with your own keys, or to Ollama and LM Studio on localhost.

A developer runs three coding agents on separate branches simultaneously and watches all of them without losing track of any.
An engineer delegates a specific subtask from one agent to another by dragging a wire instead of copy-pasting context between windows.
A team working under strict data policies needs an agent IDE that provably never uploads source code.
A solo builder ships several experiments in parallel isolated worktrees without polluting the main working tree.
A reviewer wants side-by-side diffs of agent-authored changes before deciding what to keep.
A user orchestrates a self-organizing squad of agents while keeping human approval on every structural change.

Nyman Media

Freemium

Audits whether AI crawlers and assistants can actually read your website, then tracks how often they mention your brand.

AI Readiness Audit: Scores a public URL across 106 checks in six categories — crawlability, structured data, entity clarity, content structure, answerability and trust signals — for a readiness score out of 100.
Served-vs-Rendered Comparison: Measures how much of the browser-rendered page survives a fetch-only request, flagging JavaScript-dependent content that non-rendering AI crawlers never see.
AI Crawler Access Checks: Reports robots.txt, canonicals, redirects and status codes specifically for AI crawlers such as OAI-SearchBot, not just traditional search bots.
UX Review with Developer Brief: Runs a separate usability pass with visual layout analysis on paid plans and produces a copyable brief a developer can work straight from.
Saved Action Plans: Keeps an audit as a private baseline, lets you rank findings by priority, and records implementation progress against it.
Generated Fixes and Verification: Premium plans generate implementation guidance for a selected finding and verify the change against a fresh audit rather than trusting a checkbox.
AI Answer Snapshots: Asks the same five core questions weekly with three samples each, deciding by majority whether the brand is named, and charts the trend against tracked competitors.
Programmable Surface: A public REST API, CLI and MCP server let audits run inside CI/CD pipelines or be called directly by AI agents.

AI Search Readiness: Find out why an AI assistant summarizes a competitor's page instead of yours and fix the specific access or rendering issue behind it.
Pre-Launch QA: Audit a new marketing site before launch to catch blocked crawlers, missing markup and unreadable server-rendered content.
CI/CD Regression Guards: Call the REST API or CLI on every deploy so a rendering change that hides content from crawlers fails the build.
Brand Monitoring: Track weekly whether AI assistants name your brand in answers to the questions your buyers actually ask.
Agency Reporting: Produce white-label PDF audits and score comparisons for client sites on the Partner plan.
Content Restructuring: Use heading/body agreement and attribution checks to rewrite pages into retrievable, quotable sections.