Head to head · Assistant proactive · October 2026 research run

Gemini Spark vs Poke

Poke scores 37.6 (F) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories. Gemini Spark leads on security & auth. Both do assistant proactive.

Best AI personal assistants that act for one person · All 190 assistants comparisons

Which one, for what

Gemini Spark F

Best for A person who already keeps mail, calendar and files in a personal Google Account and accepts Keep Activity being on.

Ahead on

  • Security & auth, 60 against 24

Watch for

No public API, SDK or MCP server for an outside agent was found. Spark is reached in the Gemini mobile app, the Mac app and gemini.google.com

Poke F

Best for One person who wants an assistant in their text messages that reads and drafts mail, manages a calendar and reaches other apps through MCP.

Ahead on

  • Reliability, 51 against 14
  • Schema & documentation, 42 against 17
  • Agent ergonomics, 30 against 9
  • Payments & pricing, 30 against 10
  • Maintenance & community, 31 against 17
  • Transparency & trust, 58 against 49

Watch for

No documented setting for which actions need approval before Poke sends, deletes or spends. Release notes mention email draft approval only in passing

Score by category

CategoryWeight this runGemini SparkPokeEdge
Reliability16%201451Poke +37
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.21742Poke +25
Agent ergonomics13%16.2930Poke +21
Security & auth14%17.56024Gemini Spark +36
Payments & pricing10%12.51030Poke +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.81731Poke +14
Transparency & trust7%8.84958Poke +9
Negative events≤1500
TotalF 24.5/100F 37.6/100

Facts side by side

FactGemini SparkPoke
KindPlatformPlatform
VendorGoogle LLCThe Interaction Company of California Inc.
Hosted endpointno (local only)no (local only)
TransportsHTTP
AuthOAuthAPI key
PricingPaidFreemium
x402nono
LicenceProprietary hosted service under the Google Terms of ServiceProprietary service under Poke's Terms of Service. The poke npm package (CLI and Node.js SDK) declares MIT
Read-only variant documentednono
llms.txtnoyes
Last release2026-05-192026-06-25
Terms last updated2026-07-302026-03-17
Privacy policy last updated2026-09-242026-09-11
Customer content may train modelsyes, with an opt-outyes
Terms restrict automated accessyesyes
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textyes

Verdicts

Gemini Spark

Google's help pages state what Spark confirms before doing, how to delete its remote browser and code data, and the risks of prompt injection. Spark has no public API, Google calls it experimental, and it runs only with Keep Activity on, the setting under which chats are used for model training and human review.

Poke

Hosted assistant that answers in Apple Messages, WhatsApp, Telegram and RCS and acts in Gmail, Outlook, calendars and MCP servers. Plan prices and a status page are public. No approval settings, credential storage, model providers or retention periods are documented, and customer content trains models unless Maximum Privacy is selected.

Before you call either

Gemini Spark

  1. Do not plan an integration against Spark. No public API or MCP server was found, and a person must hold a Google AI Pro or Ultra subscription
  2. Expect a confirmation request before sends, edits, purchases and web form submissions, and note that bulk changes to private Google Tasks run without one
  3. Delete remote browser data and remote code execution data in Gemini Spark Settings after a sensitive session. Deleting a task thread or Gemini Apps activity does not remove them
  4. Keep within 15 running tasks and 50 active schedules. A schedule does not run when 15 tasks are running or the usage limit is reached
  5. Treat every safety statement here as Google's own description. None was tested, and no message was sent to the service

Poke

  1. POST JSON to https://poke.com/api/v1/inbound/api-message with a Bearer key from Kitchen. Legacy pk_ keys work only on the deprecated /api/v1/inbound-sms/webhook
  2. Expect only {"success": true} back. Poke's answer goes to the owner's message thread, not to the caller
  3. Do not retry a POST blindly. No idempotency key is documented, and a repeated message may make Poke act twice
  4. Treat an API key as full access to the owner's mail, calendar and integrations. Create one key per automation and revoke it when done
  5. Avoid the prefilled integration link with apiKey in the query string for real secrets. Enter the key in the form or use npx poke@latest mcp add -k

Questions

Which is better for AI agents, Gemini Spark or Poke?

Poke scores 37.6 (F) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories. Gemini Spark leads on security & auth.

Other comparisons with Gemini Spark or Poke

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