Integration
Connect Metaview to Moderation API
When New Conversation fires in Metaview, your agent runs Add author in Moderation API. 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 Metaview and Moderation API 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 Metaview can start in Moderation API
When New Conversation in Metaview
then Add author in Moderation API
When New Conversation in Metaview
then Add wordlist in Moderation API
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 Metaview and Moderation API
Triggers and actions 1 trigger · 49 actions
Trigger
New ConversationTriggers when a new conversation is available in Metaview.
Action
Build chartCreates a visual chart from conversation data with optional filtering, grouping, and timezone adjustment.
Action
Check enrichment statusReturns enrichment status and usage metrics for candidate data, with options to scope by person or enrichment type.
Action
Create AI fieldCreates a new AI-powered field that analyzes conversations to answer a custom question, with configurable value type.
Action
Create reportBuilds a report from conversations with filtering, metrics, grouping, and custom field inclusion.
Action
Fetch candidatesLooks up candidate information by ID, LinkedIn URL, email, or phone number in bulk.
Action
Find candidate's sequencesFinds which outreach sequences a candidate is enrolled in using their ID, LinkedIn URL, email, or phone.
Action
Get note templateReturns a note generation template by ID for use in automating note creation.
Action
Get search detailsRetrieves configuration and results for a sourcing search by ID.
Action
Get sourcing analyticsReturns sourcing analytics and metrics grouped by user, search, or date range with filtering options.
Action
Get sourcing messagesLists outreach messages sent in a sourcing search with pagination support.
Action
Get User ContextReturns information about the connected user account and available features.
Action
Give sourcing feedbackSubmits feedback on candidates from a sourcing search, optionally linking to the search that sourced them.
Action
Group conversationsGroups recorded conversations by a field (like recruiter, stage, or outcome) and returns counts and metrics per group.
Action
List application reviewsReturns a list of application reviews, optionally filtering by name or showing only active ones.
Action
List ATS jobsReturns ATS job postings, optionally filtered by job title.
Action
List ATS stagesReturns hiring pipeline stages for a job, or workspace-level stages if no job is specified.
Action
List available fieldsReturns available data fields for reports, optionally filtered by name.
Action
List candidates in sequenceReturns candidates enrolled in a sequence, with optional enrollment status and per-step delivery details.
Action
List field valuesReturns distinct values for a field across conversations, useful for building filters or dropdowns.
Action
List mailboxesReturns email mailboxes available in this Metaview workspace.
Action
List note template foldersReturns folders of note templates organized in the workspace.
Action
List note templatesReturns note templates available in the workspace, optionally filtered by name or with full section details.
Action
List sequencesReturns candidate sequences, optionally filtered by name, creator, or status; includes full configuration if requested.
Action
List sourcing candidatesReturns candidates from a specified sourcing search with optional filtering by pack, feedback status, and detail level.
Action
List sourcing searchesReturns all sourcing searches with optional pagination.
Action
Manage candidate sequenceAdds, pauses, resumes, cancels, removes, or updates candidate enrollments in a recruitment sequence.
Action
Manage note templateCreates, updates, or deletes call note templates with customizable sections for structured note-taking.
Action
Manage sequenceCreates, updates, duplicates, or deletes recruitment sequences.
Action
Search conversationsSearches call conversations with optional filtering, sorting, and field selection.
Action
Search reportsSearches reports by name, category, or ID with optional full configuration details.
Action
Send sourcing messageStarts or continues a sourcing or research search with a message to the AI agent.
Action
Add authorCreates a new author (a user of your platform) in Moderation API so their content and behavior can be tracked and moderated.
Action
Add wordlistCreates a new wordlist in your Moderation API organization, optionally filled with an initial set of words. Add the wordlist to a policy to use it in moderation.
Action
Add words to wordlistAdds words or phrases to an existing wordlist. Words already on the list are ignored.
Action
Block authorBlocks an author so they cannot post new content until they are unblocked.
Action
Delete authorDeletes an author, resetting their status, blocks, trust level, metrics and action history. The author is recreated with a clean record the next time their content is moderated.
Action
Extract All DataAnalyzes a piece of text and returns all data found in it — email addresses, phone numbers, URLs, addresses, names and other personal information or wordlist matches — along with the overall moderation result.
Action
Get authorReturns an author's details, including their status, trust level, block details, risk level, content metrics and metadata.
Action
Get Moderated TextSubmits a piece of text for moderation and returns the moderated text (with any personal information or banned words masked), along with whether it was flagged and the recommended action.
Action
Get Moderation ObjectSubmits a structured object made of several named text, image, video or audio parts (for example a profile's name, bio and avatar) for moderation, and returns the evaluation, the recommended action and the per-policy results.
Action
Get wordlistReturns a single wordlist, including its name, strict-mode setting and every word it contains.
Action
List authorsReturns the authors in your Moderation API project, with their status, trust level and content metrics. By default the most recently active authors come first.
Action
List queue itemsReturns the items in a review queue, with the queue's own filters applied. By default only items still waiting for review are returned.
Action
List wordlistsReturns the wordlists in your Moderation API organization, with each wordlist's name, description and creation date.
Action
Moderate contentSubmits text, an image, a video, audio or a structured object for moderation and returns whether it was flagged, the recommended action (allow, review or reject) and the per-policy results.
Action
Resolve queue itemMarks an item in a review queue as resolved, removing it from the queue's pending list.
Action
Send feedbackSends a feature request, bug report or other feedback to the Moderation API team, who may reply by email.
Action
Unblock authorUnblocks a blocked or suspended author so they can post new content again.
Action
Update authorUpdates an existing author's profile in Moderation API, such as their name, email, company, trust level or metadata, and returns the updated author.
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
Metaview and Moderation API, answered
What can start an automation from Metaview?
Any of Metaview's 1 trigger in the catalog, including New Conversation. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Moderation API when something happens in Metaview?
Any of Moderation API's 18 actions, including Send feedback, Update author, Add author and Add wordlist. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Moderation API to Metaview?
Moderation API has no triggers in the catalog today, so automations start in Metaview. If you need the other direction, ask: your agent reads Moderation API's API documentation and adds it.
Do I have to build a connector for Metaview or Moderation API?
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 Metaview and Moderation API 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.