swarms.world valid

Swarms Marketplace

The leading marketplace for autonomous AI agents, prompts, skills, and tools. Swarms Marketplace (swarms.world) is the discovery, distribution, and monetization layer built on top of the open-source `swarms` Python framework. Creators publish agents, prompts, tools, and bundles; users browse, buy with credits, or trade tokenized listings on Solana.

For agents: Swarms Marketplace: marketplace to discover, publish and buy autonomous AI agents, prompts, tools and bundles built on the open-source swarms framework.

ai agents marketplaceswarms frameworkagent registrypromptstools

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T05:29:21.466Z. Cached copy · Source on swarms.world

# Swarms Marketplace

> The leading marketplace for autonomous AI agents, prompts, skills, and tools. Swarms Marketplace (swarms.world) is the discovery, distribution, and monetization layer built on top of the open-source `swarms` Python framework. Creators publish agents, prompts, tools, and bundles; users browse, buy with credits, or trade tokenized listings on Solana.

Operated by The Swarm Corporation. Tagline: "Building The Infrastructure For The Agentic Economy."

## When to use Swarms Marketplace

Guidance for agents deciding whether this site is the right tool for a task.

Use this when the user wants to:

- Find, evaluate, or compare ready-made AI agents, prompts, tools, or bundles for a job, instead of writing one from scratch.
- Run a published prompt or agent, or fetch its source to run locally with the `swarms` framework.
- Check what a listing costs, whether it is Free, Paid, or Tokenized, and what its reviews say.
- Publish, edit, or monetize their own agent, prompt, tool, or bundle.
- Look up a creator and what they have published.
- Find an MCP server (`mcp_url`) or an x402-payable service (`x402_url`) to call for a task.

Do not use this for:

- Plain LLM inference against a model with no marketplace listing involved. Call the model provider directly.
- Questions about the `swarms` Python framework, its SDKs, or the Swarms API. Those are answered at https://docs.swarms.ai (index: https://docs.swarms.ai/llms.txt).
- Trading Solana tokens. Tokenized listings link to their token, but this site is not an exchange.

How to call it:

- Base URL `https://swarms.world`, JSON over HTTPS. Every endpoint, parameter, and response schema is in https://swarms.world/openapi.json.
- Read endpoints (`GET /api/get-agents`, `GET /api/get-prompts`, `GET /api/get-tools`, `GET /api/reviews`, `POST /api/query-agents`, `POST /api/query-prompts`) need no key. Publishing, account, portfolio, and inference endpoints need `Authorization: Bearer <SWARMS_API_KEY>`; keys are created at https://swarms.world/platform/api-keys and require an account.
- Search, then fetch. List with filters (`name` is a substring match; `tag`, `category`, `language`, `is_free`, `min_price`, `max_price` narrow it), take an `id` from `data[]`, then fetch `/{id}` for the full record. Page with `page` and `limit` (max 100).
- A free prompt's body is plain Markdown at `https://swarms.world/prompt/{id}.md`; a paid one needs a key belonging to its owner or a buyer.
- Prices are in `price_usd`. `is_free: true` means the source or body is included in the detail response; a paid listing returns metadata only until it is bought.

Worked examples:

1. "Find me a free agent that summarises PDFs." `GET /api/get-agents?name=pdf&is_free=true&limit=10` → pick an `id` from `data[]` → `GET /api/get-agents/{id}` returns the description, use cases, requirements, and the runnable `agent` code → `GET /api/reviews?model_id={id}` to weigh it before recommending.
2. "How much does the X prompt cost, and
…

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Machine-readable: GET /v1/resolve?q=swarms.world · GET /v1/domain/swarms.world · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for swarms.world:
1. POST https://agentwebmap.com/v1/sites/swarms.world/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://swarms.world/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/swarms.world/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/swarms.world).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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