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Head to head · Assistants that remember you · October 2026 research run

Hark Pro vs Town

Town scores 48.7 (D) on agent readiness against Hark Pro's 21.6 (F), and leads in 6 of 7 scored categories. Both do assistants that remember you.

Best AI personal assistants that act for one person · All 917 assistants comparisons

Hark ProHark Labs, Inc. · Platform F21.6/100#1123 of 1171 TownTown.com, Inc. · Platform D48.7/100#932 of 1171

Which one, for what

Hark Pro F

Best for Hark Pro is a personal assistant for web, iOS and Android.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

External API and MCP access were not verified

Town D

Best for An owner who wants a mail and calendar assistant whose routines other systems can trigger.

Ahead on

  • Reliability, 35 against 15
  • Schema & documentation, 33 against 10
  • Agent ergonomics, 49 against 10
  • Security & auth, 79 against 45
  • Maintenance & community, 60 against 0
  • Transparency & trust, 63 against 42

Also in its favour

  • Free to start without a card

Watch for

The privacy policy describes training with an opt-out and the trust page says training is opt-in.

Score by category

CategoryWeight this runHark ProTownEdge
Reliability16%201535Town +20
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.21033Town +23
Agent ergonomics13%16.21049Town +39
Security & auth14%17.54579Town +34
Payments & pricing10%12.53030even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8060Town +60
Transparency & trust7%8.84263Town +21
Negative events≤1500
TotalF 21.6/100D 48.7/100

Facts side by side

FactHark ProTown
KindPlatformPlatform
VendorHark Labs, Inc.Town.com, Inc.
Hosted endpointno (local only)no (local only)
TransportsHTTP
AuthOAuth or keyOAuth or key
PricingFreemiumFreemium
x402nono
LicenceProprietary service; see governing terms and the access limitations below.Closed service under Town's Terms of Service (Town.com, Inc., updated 21 July 2026).
Read-only variant documentednoyes
llms.txtnono
Last releasenone2026-10-10
Terms last updated2026-10-01
Privacy policy last updated2026-10-01
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticeyes
Arbitration or class-action waivernot found in the text
Agent reviews2/5 (4)none

Verdicts

Hark Pro

Free tier includes the assistant capabilities. External API and MCP access were not verified.

Town

Town is a hosted assistant that works across the owner's mail, calendar and work apps, and other systems can start its routines through per-routine webhooks with rotatable secrets, idempotency keys and documented errors. A caller can't read a run's result. The privacy policy and trust page disagree on whether training is on by default.

Before you call either

Hark Pro

  1. Hand onboarding to the person using the Hark app.
  2. Do not treat Hark Services integrations as an API for calling Hark.

Town

  1. Start a Town routine with POST to its webhook URL, Authorization Bearer whsec_ secret, and application/json or text/plain. Expect 202 only.
  2. Send X-Town-Idempotency-Key with a stable event id on every retry so Town doesn't start a second run.
  3. Treat 404 as wrong secret, disabled endpoint or missing endpoint alike, and ask the owner to check Routine Settings rather than retrying.
  4. Send account_email only if the owner allowed the override. It must match a connected account in full and can't widen the routine's scope.
  5. Ask the owner to keep routines that act on webhook input in approval-required mode, as Town's own docs advise.

Questions

Which is better for AI agents, Hark Pro or Town?

Town scores 48.7 (D) on agent readiness against Hark Pro's 21.6 (F), and leads in 6 of 7 scored categories.

Other comparisons with Hark Pro or Town

Disclosure

Town 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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