Agentic Index

Asteroid vs Twin (2026)

Both vendors last verified

Both run agents through interfaces with no usable API, and they scale differently. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Twin is an autonomous AI employee planning, choosing tools and executing across applications and websites, including a proprietary browser agent for portals, triggered by email, call, schedule or webhook, with approval gates on irreversible actions, and built without code. Asteroid is supervised computer use for regulated back offices, compiling its own deterministic scripts and discovering private APIs, graph based and self healing, HIPAA ready. Choose Twin for building agents without code across many apps. Choose Asteroid for regulated work where every run must be inspectable.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Asteroid and Twin are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Asteroid if

  • Regulated back office work is the context and live supervision is required.
  • Deterministic scripts compiled from exploration is what makes this auditable.
  • HIPAA readiness is a hard requirement.

Choose Twin if

  • Your team wants to build its own agents without code, across many apps.
  • Plans from Plus at $29 a month, after a 7 day free trial, fit a team starting small.
  • Trigger flexibility across email, call, schedule and webhook fits how work arrives.
Feature
A
Asteroid
T
Twin
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
A
Asteroid
T
Twin

Entry price

Lowest public entry point

Individual is free to start, with pay as you go credit top ups. Startup is $300 a month ($330 of credits) and Scale $1,000 a month ($1,150 of credits). Enterprise is custom. Plus $29 a month, Pro $149 a month and Store from $399 a month, with no credits on any plan. A 7 day free trial with no credit card. Enterprise is custom.

Pricing confidence

How public the numbers are

Public, exact Public, exact

Billing

Primary billing axis

Credits that cover runtime, LLM usage and proxies, bought through pay as you go top ups on the free Individual plan or through a monthly plan that includes more credits than its fee. A flat monthly fee per plan, with unlimited agents and scheduled runs and no credits to draw down. The plan sets the feature set, and Enterprise terms are custom.

Variable cost

Workload / overage exposure

Low variable cost Medium variable cost

Free tier / trial

Try before you buy

Free tierTrial
Free tierTrial

Buying motion

Self-serve vs sales call

Self-serve Self-serve

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Asteroid

  • · Security / enterprise

    Asteroid merged its Vault and Agent Profiles into one Logins page that holds every account its browser agents sign in as, including groups of interchangeable logins for the same portal.

    Source

Twin

  • · Pricing / packaging

    Twin dropped credit based metering and moved every plan to unlimited usage.

    Source

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