Integration
Connect Opensea to Azure AI Search Vector Store
When New collection event fires in Opensea, your agent runs Upload Documents in Azure AI Search Vector Store. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Opensea and Azure AI Search Vector Store to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Opensea can start in Azure AI Search Vector Store
When New collection event in Opensea
then Upload Documents in Azure AI Search Vector Store
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Opensea and Azure AI Search Vector Store
Triggers and actions 1 trigger · 16 actions
- New collection event
Triggers when a new event (sale, transfer, mint, listing or offer) happens in an OpenSea collection.
- Get account
Returns an OpenSea account profile for a wallet address or username, including bio, display name, social media accounts, follower counts and profile image.
- Get collection
Returns a single OpenSea collection by its slug, including its name, description, contracts, fees, supply, social links and pricing currencies.
- Get collection stats
Returns trading statistics for an OpenSea collection: all-time volume, sales, owner count and floor price, plus volume and sales broken down by time window.
- Get NFT
Returns a single NFT's metadata, traits, owners and rarity, looked up by its blockchain, contract address and token id.
- Get order
Returns a single OpenSea listing or offer by its order hash, including its price, status, remaining quantity and the signed order details.
- List events by collection
Returns the activity events (sales, transfers, mints, listings and offers) for an OpenSea collection, optionally narrowed by time window, event type or NFT traits.
- List NFTs by account
Returns the NFTs a wallet owns on a chosen blockchain, optionally limited to one collection, including how many of each the wallet holds.
- List NFTs by collection
Returns the NFTs in an OpenSea collection, optionally narrowed to items matching specific traits.
- Refresh NFT metadata
Queues a metadata refresh for an NFT so OpenSea re-reads its name, image and traits from the blockchain.
- Create Index
Creates a search index with the fields you define, including vector fields for similarity search.
- Delete Index
Deletes a search index and every document in it.
- Get Document
Returns one document from a search index by its key.
- Get Index
Returns a search index's definition: its fields, vector search and semantic settings.
- List Indexes
Returns the search indexes in your Azure AI Search service.
- Search Documents
Searches a search index by keywords, filter and/or vector similarity and returns the matching documents with their scores.
- Upload Documents
Adds documents to a search index, replacing any existing document with the same key.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Opensea and Azure AI Search Vector Store, answered
What can start an automation from Opensea?
Any of Opensea's 1 trigger in the catalog, including New collection event. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure AI Search Vector Store when something happens in Opensea?
Any of Azure AI Search Vector Store's 7 actions, including Create Index, Upload Documents, Get Document and Get Index. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure AI Search Vector Store to Opensea?
Azure AI Search Vector Store has no triggers in the catalog today, so automations start in Opensea. If you need the other direction, ask: your agent reads Azure AI Search Vector Store's API documentation and adds it.
Do I have to build a connector for Opensea or Azure AI Search Vector Store?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Opensea and Azure AI Search Vector Store without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.