Integration
Connect Snowflake to Valyu
When New Column fires in Snowflake, your agent runs Add deep research task in Valyu. 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 Snowflake and Valyu 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 Snowflake can start in Valyu
When New Column in Snowflake
then Add deep research task in Valyu
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 Snowflake and Valyu
Triggers and actions 5 triggers · 15 actions
- New Column
Triggers when a new column is added to a table in the chosen Snowflake database, optionally limited to one schema or table.
- New or Updated Row
Triggers when a row is added to or changed in a Snowflake table, checking the most recently updated rows by a timestamp column you choose.
- New Row
Triggers when a new row is added to a Snowflake table.
- New Table
Triggers when a new table is created in a Snowflake database.
- New View
Triggers when a new view is created in the selected Snowflake database (optionally limited to one schema).
- Create Rows
Inserts one or more rows into a Snowflake table.
- Delete Rows
Deletes every row in a Snowflake table whose chosen column equals the value you supply.
- Execute SQL
Runs a SQL statement in Snowflake and returns its result rows and column metadata.
- Find Row
Finds the first row in a Snowflake table whose chosen column equals a given value and returns its column values.
- Update Rows
Updates a column's value on every row in a Snowflake table whose match column equals the given value.
- Add deep research task
Create a new asynchronous DeepResearch task.
- Delete deep research task
Permanently deletes a DeepResearch task and its associated data (output, sources, PDF, images). Running or queued tasks must be cancelled first.
- Find content by query
Returns up to 20 results (web pages, papers, news, proprietary datasets) that match the specified search query, with extracted content.
- Find datasources by criteria
Finds Valyu datasources matching a natural-language description, ranked best-first by relevance.
- Generate answer
Answers a question with an AI-written, cited response grounded in real-time search across web, academic, financial and proprietary sources.
- Get deep research task
Retrieve the current status, progress and results of a Valyu DeepResearch task.
- List datasource categories
Lists all Valyu datasource categories (such as research, healthcare, markets), which can be used to filter the datasources list.
- List datasources
Lists the data sources available through Valyu's search API, optionally filtered by category.
- List deep research tasks
Lists the DeepResearch tasks created with the connected API key, with each task's id, query, status, creation time and public flag.
- Update deep research task
Adds a follow-up instruction to a running DeepResearch task to steer its research. Only accepted before the writing phase begins.
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
Snowflake and Valyu, answered
What can start an automation from Snowflake?
Any of Snowflake's 5 triggers in the catalog, including New Column, New or Updated Row, New Row and New Table. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Valyu when something happens in Snowflake?
Any of Valyu's 10 actions, including Update deep research task, Add deep research task, Find content by query and Find datasources by criteria. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Valyu to Snowflake?
Valyu has no triggers in the catalog today, so automations start in Snowflake. If you need the other direction, ask: your agent reads Valyu's API documentation and adds it.
Do I have to build a connector for Snowflake or Valyu?
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 Snowflake and Valyu 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.