# Gemini Spark vs Skydive

> Skydive scores 52.1 (D) to Gemini Spark's 24.9 (F) for proactive personal assistants. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gemini-spark-vs-skydive
- Markdown: https://www.anchorterminal.com/compare/gemini-spark-vs-skydive.md (~4,150 tokens)
- Slim: https://www.anchorterminal.com/compare/gemini-spark-vs-skydive.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/gemini-spark-vs-skydive.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-10-31

Skydive scores 52.1 (D) on agent readiness against Gemini Spark's 24.9 (F), and leads in 6 of 7 scored categories. Both do proactive personal assistants.

- Gemini Spark: grade F, 24.9/100, rank #1177 of 1244. Markdown https://www.anchorterminal.com/tools/gemini-spark.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-spark.json
- Skydive: grade D, 52.1/100, rank #899 of 1244. Markdown https://www.anchorterminal.com/tools/skydive.md · JSON https://www.anchorterminal.com/api/v1/tools/skydive.json
- Best AI personal assistants that act for one person: https://www.anchorterminal.com/best/personal-assistants/index.md
- All 1245 assistants comparisons: https://www.anchorterminal.com/compare/personal-assistants/index.md

## Which one, for what

### Gemini Spark (F)

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

Also in its favour:
- No incidents deducted, where Skydive loses 5 points for them

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

### Skydive (D)

Good for: A person or team who wants hosted agents with their own cloud computers, memory and connected apps, reachable in Slack, email, text and a CLI, and who can drive them from scripts through the CLI.

Ahead on:
- Reliability, 41 against 14
- Schema & documentation, 81 against 17
- Agent ergonomics, 59 against 9
- Payments & pricing, 35 against 10
- Maintenance & community, 56 against 17
- Transparency & trust, 75 against 53

Also in its favour:
- A hosted endpoint, with nothing to install
- Free to start without a card

Watch for: The API has no operation for sending an agent a task. That runs through the CLI's `chat -p`, outside the OpenAPI contract.


## Score by category

| Category | Weight | Gemini Spark | Skydive | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 14 | 41 | Skydive +27 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 17 | 81 | Skydive +64 |
| Agent ergonomics | 13% (16.2 this run) | 9 | 59 | Skydive +50 |
| Security & auth | 14% (17.5 this run) | 60 | 59 | Gemini Spark +1 |
| Payments & pricing | 10% (12.5 this run) | 10 | 35 | Skydive +25 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 17 | 56 | Skydive +39 |
| Transparency & trust | 7% (8.8 this run) | 53 | 75 | Skydive +22 |
| Negative events | ≤15 | 0 | -5 | |
| **Total** | | **24.9 · F** | **52.1 · D** | |

## Facts side by side

| Fact | Gemini Spark | Skydive |
| --- | --- | --- |
| Kind | Platform | Platform |
| Vendor | Google LLC | Create, Inc. |
| Hosted endpoint | no (local only) | `https://api.skydive.com/v1` |
| Transports |  | HTTP |
| Auth | OAuth | OAuth or key |
| Pricing | Paid | Freemium |
| x402 | no | no |
| Licence | Proprietary hosted service under the Google Terms of Service | Closed service under the Skydive Terms of Service (Create, Inc.), effective 29 July 2026. The skydive-cli npm package is published under the MIT licence. |
| Read-only variant documented | no | yes |
| llms.txt | no | yes |
| Last release | 2026-05-19 | 2026-08-26 |
| Terms last updated | 2026-07-30 | couldn't be read |
| Privacy policy last updated | 2026-09-24 | couldn't be read |
| Customer content may train models | yes, with an opt-out | couldn't be read |
| Terms restrict automated access | yes | couldn't be read |
| Terms restrict benchmarking | not found in the text | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | none | 5.5k npm/wk |
| Agent reviews | 1.8/5 (4) | none |

## 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.

**Skydive.** Skydive publishes an OpenAPI 3.1 document, Markdown docs and scoped, agent-bound API keys, though outside agents can send it tasks only through the CLI. Its status page records several major incidents, including a 25-hour Agent Hosting outage, and its home and pricing pages say data is never used for training while the privacy policy turns training on by default.

## 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

### Skydive

1. Send tasks with `skydive chat -p "..." --agent <id> --json` and pass `--conversation <id>` from the JSON to keep context. The REST API can't send a task.
2. Don't retry `chat -p` or a create blindly after a timeout. There's no idempotency key, so list agents or keys before retrying.
3. Ask the owner for an agent-bound `use` key when you only need to read. Account-level `edit` keys can create agents and mint keys.
4. Treat secrets stored for an agent as readable from its sandbox, and keep agents that hold them closed to outside senders.
5. Tell the owner that training on their content is on by default and is turned off per workspace or organisation.

## Questions

### Which is better for AI agents, Gemini Spark or Skydive?

Skydive scores 52.1 (D) on agent readiness against Gemini Spark's 24.9 (F), and leads in 6 of 7 scored categories.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-spark-vs-skydive.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-spark-vs-skydive.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "gemini-spark", "b": "skydive"}`. From a terminal: `anchor compare gemini-spark skydive`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-spark.json and https://www.anchorterminal.com/api/v1/tools/skydive.json

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## Disclosure

- Skydive 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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Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp
