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

asaply vs Tomo

Tomo scores 13.1 (F) on agent readiness against asaply's 7.6 (F), and leads in 4 of 7 scored categories. asaply leads on 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 TomoMapo Labs, Inc. · Platform F13.1/100#1000 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

  • Schema & documentation, 10 against 0

Watch for

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

Tomo F

Best for People who want accountability, check-ins and reminders by text, including in group chats.

Ahead on

  • Reliability, 15 against 10
  • Payments & pricing, 10 against 0
  • Maintenance & community, 54 against 2

Watch for

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

Score by category

CategoryWeight this runasaplyTomoEdge
Reliability16%201015Tomo +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2100asaply +10
Agent ergonomics13%16.200even
Security & auth14%17.500even
Payments & pricing10%12.5010Tomo +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8254Tomo +52
Transparency & trust7%8.84347Tomo +4
Negative events≤1500
TotalF 7.6/100F 13.1/100

Facts side by side

FactasaplyTomo
KindPlatformPlatform
VendorAsaply Inc.Mapo Labs, 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 Tomo's Terms of Service (Mapo Labs, Inc., last updated 24 September 2026).
Read-only variant documentednono
llms.txtyesno
Last releasenone2026-09-29
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.

Tomo

Tomo is a hosted personal AI over iMessage and an iOS app, centred on goals, check-ins and reminders, with regular iOS releases since April 2026. No outside agent can call it, there's no free plan, and no status page, security contact or subprocessor list was found.

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.

Tomo

  1. Don't plan to call Tomo from another agent. It answers only the owner's iMessage, group chats it's added to and the iOS app.
  2. Tell the owner that adding Tomo to a group chat applies its terms to every participant.

Questions

Which is better for AI agents, asaply or Tomo?

Tomo scores 13.1 (F) on agent readiness against asaply's 7.6 (F), and leads in 4 of 7 scored categories. asaply leads on schema & documentation.

Other comparisons with asaply or Tomo

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.

Tomo 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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