Integration
Connect Google BigQuery to EyeLevel.ai
When New Job Completed fires in Google BigQuery, your agent runs Add document in EyeLevel.ai. 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 Google BigQuery and EyeLevel.ai to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Google BigQuery can start in EyeLevel.ai
When New Job Completed in Google BigQuery
then Add document in EyeLevel.ai
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 Google BigQuery and EyeLevel.ai
Triggers and actions 4 triggers · 36 actions
- New Job Completed
Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.
- New Row
Triggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID.
- Query Job Completed (With Row Data)
Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.
- Updated Row
Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.
- Create Row
Creates a new row of data in a table. Note: Does not create a job.
- Create Rows
Creates new rows of data in a table (accepts line items). Note: Does not create a job.
- Delete Rows
Deletes every row in a table whose match column equals the value you give.
- Find One Row
Finds the first row in a table whose column equals the value you give.
- Get Rows for Job Completed
Returns the result rows of a finished query job.
- Import Data
Imports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING.
- List Datasets
Returns the datasets in a Google Cloud project.
- List Tables
Returns the tables in a BigQuery dataset.
- Run a Query
Runs a SQL query against a table in BigQuery.
- Update Row(s)
Updates every row in a table whose match column equals the value you give, setting the columns you choose.
- Add bucket
Create a new bucket to hold documents.
- Add bucket to group
Adds an existing bucket to an existing group. Buckets and groups can be associated many to many.
- Add document
Uploads a file into an EyeLevel (GroundX) bucket for ingestion. Returns the ingest process id and its status; ingestion continues asynchronously.
- Add group
Create a new group (collection of buckets).
- Add remote document
Ingest a document hosted at a public URL into a GroundX bucket.
- Crawl website
Crawl a website and ingest its pages as documents into a bucket.
- Delete bucket
Delete a bucket.
- Delete document
Deletes a single document from GroundX.
- Delete group
Deletes a group in GroundX by its group ID.
- Find content by query
Semantic search over ingested content chunks within a bucket/group for relevant passages.
- Find documents by ID
Returns up to 20 documents associated with the specified process, bucket, or group ID.
- Find documents by query
Searches the given documents for the content most relevant to a query, returning suggested LLM context and the matching chunks.
- Get bucket
Retrieve a single bucket by ID.
- Get customer
Get the EyeLevel (GroundX) account information associated with the connected API key, including subscription usage and limits.
- Get customer usage
Get the total searches or file tokens used by the account over a time period.
- Get document
Look up an existing GroundX document by its ID.
- Get document extract
Look up the information GroundX extract has pulled from an existing document.
- Get document processing status
Get the ingestion/processing status of a document by process ID.
- Get document X-Ray
Retrieve the X-Ray (deep semantic parse) result for a document.
- Get group
Retrieve a single group by ID.
- List buckets
Lists the content buckets in your GroundX account.
- List groups
List all groups in your GroundX account (up to 100 per call).
- Remove bucket from group
Removes a bucket from a group without affecting the bucket's other group associations.
- Update bucket
Rename an existing content bucket.
- Update document
Update a document's metadata (e.g. searchData, fileName).
- Update group
Rename an existing group.
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
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Questions
Google BigQuery and EyeLevel.ai, answered
What can start an automation from Google BigQuery?
Any of Google BigQuery's 4 triggers in the catalog, including New Job Completed, New Row, Query Job Completed (With Row Data) and Updated Row. Describe the moment in plain language and your agent picks the right one.
What can your agent do in EyeLevel.ai when something happens in Google BigQuery?
Any of EyeLevel.ai's 26 actions, including Update bucket, Update document, Update group and Add bucket. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from EyeLevel.ai to Google BigQuery?
EyeLevel.ai has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads EyeLevel.ai's API documentation and adds it.
Do I have to build a connector for Google BigQuery or EyeLevel.ai?
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.
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.