You ask your agent to do something real, like research a market or monitor competitors, and it stops cold.
"I need an API key for that."
So you sign up for a search API. Then a product data API. Then a social data provider. Then an LLM. Five accounts, five keys, five invoices, and you haven't shipped anything yet.
OpenAny fixes that. It's the open marketplace for AI agents: 161 AI models and 3,000+ API endpoints, all reachable through one connection, one key, and one balance.
You don't replace your agent. You connect the one you already use (Claude Code, Cursor, Codex, Gemini CLI, Hermes Agent, or OpenClaw) with a single line:
Read openany.si/AGENT.md and connect OpenAny
From then on, you ask for the outcome, and your agent finds and pays for what it needs.
Here's what that looks like in practice.
Use case 1: Sarah validates a product idea before lunch
Sarah runs a small e-commerce brand. She's thinking about launching a portable coffee maker, but before she spends money on samples, she wants to know: is there room in this market?
Normally that means a week of work: browsing Amazon listings, reading hundreds of reviews, scrolling TikTok for trends, then writing it all up.
Instead, she opens Claude Code and types:
Research the portable coffee maker market.
Find the main competitors and their price range,
summarize what Amazon reviewers complain about,
check what's trending on TikTok,
and tell me where the opportunity is.
Her agent goes to work through OpenAny:
- Search finds competitors and market sources
- Amazon data pulls product listings, prices, and reviews
- TikTok data surfaces trending videos about travel coffee
- An LLM synthesizes everything into one brief
A few minutes later, she has her answer: the price range competitors sit in, the top complaint in reviews (cleanup is a pain), and a content angle that's already working on TikTok (show the brew, then the cleanup).
Her positioning: portable coffee with easy cleanup.
She never created an Amazon data account, a TikTok API account, or an LLM account. Her receipt shows every call itemized, paid from one balance.
Use case 2: Leo builds a competitor price tracker in an afternoon
Leo is a solo developer who sells a SaaS tool. His three biggest competitors keep changing their pricing pages, and he only finds out when a customer mentions it.
He wants an agent that checks their pricing every morning and tells him what changed. The hard part has never been the logic. It's the plumbing: scraping, parsing, storing, and summarizing, each with its own service.
He asks his agent:
Every morning, check the pricing pages of these 3 competitors.
Extract their plans and prices,
compare them with yesterday,
and send me a short summary of anything that changed.
Through OpenAny, his agent:
- Uses TinyFish to extract structured data from each pricing page
- Compares today's plans against yesterday's
- Uses an LLM to write a two-line summary, like: "Competitor B raised its Pro plan and added an annual discount."
Leo's agent now does in seconds what used to take him an hour of manual checking, and he didn't sign up for a single new scraping service. When a competitor moves, he knows the same morning.
Why it works
| Without OpenAny | With OpenAny |
|---|---|
| A separate account for every provider | One connection |
| A pile of API keys | One key |
| Multiple invoices and top-ups | One shared balance |
| You pick every endpoint | Your agent picks what it needs |
There are no subscriptions. You pay for measured usage, with an itemized receipt for every task, and you can top up by card through Stripe or with USDC via x402.
Try it in 30 seconds
Paste this into your agent:
Read openany.si/AGENT.md and connect OpenAny
Then ask it for something you've been putting off.
👉 openany.si · Follow us on X: @openanysi
Keep your agent. Connect it to more.
Sarah and Leo are illustrative examples. Screenshots are demo examples from openany.si and do not show real requests or charges.
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