# Alternatives to TinyFish > Source: https://theagentsindex.com/tinyfish/alternatives (current datasheets, evidence-ranked) Candidates share the baseline category or are previously researched peers. Requirements, preserved strengths, explicit trade-offs and research coverage decide the order; paid tier does not. ## Shortlist ### 1. Perplexity AI answer engine with an agentic Computer, the Comet browser, and a developer API for web-grounded search. **Research coverage:** 35/35 criteria **Where it improves on TinyFish:** - [Multi-agent: yes — Computer fans a prompt out to subagents; the API's wide-research preset runs the same wide-and-deep pattern in the background.](https://www.perplexity.ai/products/computer) - [Claude: yes — Claude is one of the models the consumer product orchestrates, and the Agent API exposes Opus, Sonnet and Haiku by model id.](https://www.perplexity.ai/hub/pricing) - [GPT: yes — The Agent API lists the GPT-5 family with per-token rates; the consumer plans surface GPT as a selectable preferred model.](https://docs.perplexity.ai/docs/agent-api/models) **Trade-offs against TinyFish:** - [In your editor: partial — There is no Perplexity IDE extension; it enters the editor as an MCP tool that Claude Code, Cursor or VS Code calls.](https://docs.perplexity.ai/docs/getting-started/integrations/mcp-server) - [Self-hosted: no — Perplexity runs the compute on its own AWS estate in North America; no self-hosted, on-prem or VPC deployment is documented.](https://docs.perplexity.ai/docs/resources/faq) - [Pooled budget: no — Computer credits are allotted per seat, 500 a month on Enterprise Pro and 15,000 on Enterprise Max, not drawn from one shared org balance.](https://www.perplexity.ai/hub/pricing?p=enterprise) [View Perplexity](https://theagentsindex.com/perplexity) ### 2. Manus General-purpose AI agent that plans and executes multi-step tasks on its own cloud computer. **Research coverage:** 33/35 criteria **Where it improves on TinyFish:** - [Multi-agent: yes — Wide Research decomposes one request into independent sub-tasks and runs many agents in parallel, each with its own context, then a main agent synthesises the results.](https://manus.im/docs/features/wide-research) - [Claude: partial — Claude is selectable only for LLM features inside apps Manus builds for you; you cannot choose it for the Manus agent itself, and Anthropic is not among the disclosed foundational-model subprocessors.](https://manus.im/docs/website-builder/ai-capabilities) - [GPT: partial — OpenAI is a disclosed foundational-model subprocessor for Manus itself, and GPT is nameable for LLM features in generated apps, but the agent's model is never user-selectable.](https://trust.manus.im/subprocessors) **Trade-offs against TinyFish:** - [In your editor: partial — There is a VS Code instance inside Manus's own cloud computer that you can take over mid-task, and GitHub sync lets you work in your own editor, but the pages read document no plug-in for your IDE.](https://help.manus.im/en/articles/11711218-how-can-i-take-over-manus-browser-or-vs-code) - [On the command line: partial — Through the desktop app the agent drives your machine's command line and the API exposes terminalExecute confirmations, but no Manus CLI client you type commands into is documented.](https://manus.im/docs/features/desktop) - [Self-hosted: no — The agent runs on Manus-operated cloud machines (the Trust Center lists Google Cloud, AWS and Azure as its infrastructure), and no published plan offers a customer-hosted deployment; only the desktop app touches your own hardware.](https://manus.im/docs/introduction/welcome) [View Manus](https://theagentsindex.com/manus) ### 3. Genspark All-in-one AI workspace with autonomous agents for slides, docs, sheets, code, media and scheduled automation. **Research coverage:** 33/35 criteria **Where it improves on TinyFish:** - [Multi-agent: yes — GenTeam puts several named agents in shared channels with humans, agents claim tasks and hand results to each other, and Custom Agents can be combined inside one Super Agent conversation.](https://www.genspark.ai/helpcenter/genteam) - [Claude: yes — Anthropic models are offered as the frontier option in AI Slides Ultra mode, and the Team plan card lists a Claude model in its zero-credit chat lineup.](https://www.genspark.ai/helpcenter/gen-one-model) - [GPT: yes — OpenAI models are named in the vendor's own model-partner claim on the business page, and GPT image and Sora video models appear in plan and troubleshooting material.](https://www.genspark.ai/business) **Trade-offs against TinyFish:** - [On the command line: partial — Claw exposes a browser terminal on its cloud machine and GenTeam is joined by pasting a connect command into a terminal, but Genspark ships no command-line client that drives its agents.](https://www.genspark.ai/helpcenter/genspark-claw) - [API access: partial — Team members can create API keys that admins see and revoke, but Genspark publishes no API reference, and API access to its own model is arranged by emailing a partner address.](https://www.genspark.ai/helpcenter/team-enterprise-plans) - [Pooled budget: no — Each seat gets its own monthly credit balance that cannot be transferred between members; the workaround is admin-purchased credit packs, and only Enterprise can negotiate a shared pool.](https://www.genspark.ai/helpcenter/team-enterprise-plans) [View Genspark](https://theagentsindex.com/genspark) ### 4. Undermind AI co-researcher that runs deep literature searches over 200M+ scientific papers and cites every source. **Research coverage:** 34/35 criteria **Where it improves on TinyFish:** - [Done-for-you service: partial — Mostly self-serve software, but the Enterprise page also offers a delivered custom research platform built by Undermind's own team within weeks.](https://www.undermind.ai/enterprise) - [Multi-agent: partial — Undermind is the research layer another agent orchestrates over MCP; it does not advertise several Undermind agents coordinating on one task.](https://www.undermind.ai/enterprise) - [Claude: yes — Published Claude connector, one-click setup, plus documented Claude Code CLI install.](https://www.undermind.ai/mcp) **Trade-offs against TinyFish:** - [On the command line: partial — There is no Undermind CLI of its own; terminal use comes through agent CLIs such as Codex and Claude Code, which you configure with the MCP endpoint.](https://www.undermind.ai/mcp) - [Self-hosted: no — Every delivery shape on the site is Undermind-hosted: a web app, a hosted MCP endpoint and an enterprise cloud with its own access controls; no bring-your-own-infrastructure option is offered.](https://www.undermind.ai/enterprise) - [API access: partial — An Undermind API with programmatic queries and batch processing is offered to organisations via sales; no public API documentation or self-serve key is published.](https://www.undermind.ai/enterprise) [View Undermind](https://theagentsindex.com/undermind) ### 5. GC AI Legal AI platform for in-house counsel, spanning drafting, contract review, playbooks and research. **Research coverage:** 33/35 criteria **Where it improves on TinyFish:** - [Multi-agent: yes — Chat 2.0 runs specialised research and analysis processes in parallel and reconciles their findings before answering, so coordination happens inside one conversation rather than as user-assembled agents.](https://gc.ai/blog/introducing-chat-2-0-powered-by-a-multi-agent-architecture) - [Agent permissions: yes — Permissions are set per action type rather than per app, so searching an inbox and sending mail are separate grants, and an in-chat card offers Approve, Always approve or Deny before anything leaves.](https://gc.ai/agent-connectors) - [Claude: yes — Anthropic's Claude family is one of four providers the platform routes to, and Teams and Enterprise admins can additionally opt in to the Claude Fable 5 model, which carries 30-day retention rather than zero data retention.](https://docs.gc.ai/docs/chat/ai-models) **Trade-offs against TinyFish:** - [Runs autonomously: partial — Automations run saved instructions on a schedule with no human present and cannot ask a clarifying question mid-run, but connector actions that send or change data default to needing approval, and the vendor frames output as work a lawyer still reviews.](https://docs.gc.ai/docs/automations/overview) - [In your editor: partial — There is no native editor extension; an IDE reaches GC AI only by pointing Cursor's MCP configuration at the public-beta MCP endpoint, which an org admin must first enable.](https://docs.gc.ai/api-reference/mcp/connecting) - [Self-hosted: no — Hosted SaaS only: buyers are told to allowlist the vendor's own domains for the web app and Word add-in, and GC AI states it runs all servers itself in the United States. No on-premise or customer-cloud deployment is offered on any plan.](https://docs.gc.ai/security/whitelisting) [View GC AI](https://theagentsindex.com/gc-ai) ### 6. Elicit Research agent that searches 138M+ papers and runs systematic reviews with sentence-level citations. **Research coverage:** 34/35 criteria **Where it improves on TinyFish:** - [Claude: yes — Anthropic is a named subprocessor whose models generate Elicit's AI responses, so Claude is in the stack, but as Elicit's own choice, with no Claude toggle exposed to the buyer.](https://trust.elicit.com/subprocessors) - [GPT: yes — OpenAI appears in the same subprocessor inventory with the same purpose, so GPT models also serve responses, again chosen by Elicit rather than selected by the user.](https://trust.elicit.com/subprocessors) - [Bring your own key: partial — You bring your own documents and your institution's publisher subscriptions; the vendor documents no way to supply your own model keys or inference.](https://elicit.com/solutions/research-agent) **Trade-offs against TinyFish:** - [In your editor: partial — Elicit ships no IDE or editor extension of its own; reaching it from an editor means connecting its hosted MCP server from any MCP-compatible client, which needs Pro or above.](https://support.elicit.com/en/articles/14757400-elicit-s-api) - [On the command line: partial — There is no first-party Elicit CLI product; the vendor publishes a CLI tool among its API integration examples, so terminal use means running that sample against the Pro-and-above API.](https://docs.elicit.com/) - [In your pipeline: no — No CI or pull-request surface; Elicit's own surface enumeration is the web app and the API, and the closest published case is a customer's own scheduled jobs.](https://elicit.com/blog/introducing-elicit-research-agent) [View Elicit](https://theagentsindex.com/elicit) ## Method Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.