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Head to head · Assistants reached by message · October 2026 research run

asaply vs Tab

Tab scores 10.7 (F) on agent readiness against asaply's 7.6 (F), and leads in 3 of 7 scored categories. asaply leads on reliability and schema & documentation. Both do assistants reached by message.

Best AI personal assistants that act for one person · All 834 assistants comparisons

asaplyAsaply Inc. · Platform F7.6/100#1006 of 1010 TabTerrasoft, Inc. · Platform F10.7/100#1003 of 1010

Which one, for what

asaply F

Best for People in covered neighbourhoods who want coffee, lunch, tickets and rides handled by text.

Ahead on

  • Reliability, 10 against 5
  • Schema & documentation, 10 against 0

Watch for

No API, MCP server or A2A endpoint for an outside agent.

Tab F

Best for A person who wants a texting assistant that browses, calls and buys with tight checkout controls.

Ahead on

  • Maintenance & community, 58 against 2

Watch for

Private beta behind a waitlist.

Score by category

CategoryWeight this runasaplyTabEdge
Reliability16%20105asaply +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2100asaply +10
Agent ergonomics13%16.200even
Security & auth14%17.504Tab +4
Payments & pricing10%12.500even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8258Tab +56
Transparency & trust7%8.84345Tab +2
Negative events≤1500
TotalF 7.6/100F 10.7/100

Facts side by side

FactasaplyTab
KindPlatformPlatform
VendorAsaply Inc.Terrasoft, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyOAuth or key
PricingPay per usePaid
x402nono
LicenceClosed service under asaply's Terms of Service, Privacy Policy and Messaging Terms (Asaply Inc., a Delaware corporation, last updated 11 October 2026).Closed service under Tab's Terms of Use (Terrasoft, Inc., effective 2 September 2026).
Read-only variant documentednono
llms.txtyesno
Terms last updated
Privacy policy last updated
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver

Verdicts

asaply

asaply is a text-only errand assistant in early access that orders, books and pays through Apple Pay after showing the total, and can read and change a connected Google Calendar and Gmail. No outside agent can call it, the service fee isn't published, and no status page or security contact was found.

Tab

Tab is a private-beta texting assistant with a detailed security page on credential isolation and checkout binding, and a public updates page. No outside agent can call it, no price is published, and its privacy policy says nothing on training with user content.

Before you call either

asaply

  1. Don't plan to call asaply from another agent. It answers only texts from the owner's phone number and group chats it joins.
  2. Tell the owner each errand adds an unpublished service fee to the order total.

Tab

  1. Don't plan to call Tab from another agent. It answers only the owner's Messages or WhatsApp thread.
  2. Tell the owner that access needs a waitlist place and no price is published.

Questions

Which is better for AI agents, asaply or Tab?

Tab scores 10.7 (F) on agent readiness against asaply's 7.6 (F), and leads in 3 of 7 scored categories. asaply leads on reliability and schema & documentation.

Other comparisons with asaply or Tab

Disclosure

asaply competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

Tab competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

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