Integration
Connect Filestage to ParlayAPI
When When a Reviewer Is Invited to a Reviewer Group fires in Filestage, your agent runs Get event odds in ParlayAPI. 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 Filestage and ParlayAPI 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 Filestage can start in ParlayAPI
When When a Reviewer Is Invited to a Reviewer Group in Filestage
then Get event odds in ParlayAPI
When When a Reviewer Is Invited to a Reviewer Group in Filestage
then Grade clv in ParlayAPI
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 Filestage and ParlayAPI
Triggers and actions 1 trigger · 26 actions
Trigger
When a Reviewer Is Invited to a Reviewer GroupTriggers when a reviewer is invited to a reviewer group.
Action
Add Reviewers to Reviewer GroupInvites reviewers by email to a reviewer group in a Filestage project.
Action
Create FolderCreates a new folder in your Filestage workspace for organizing projects.
Action
Create ProjectCreates a new project in Filestage with the given name.
Action
Create Reviewer GroupCreates a new reviewer group in a Filestage project.
Action
Get Folder by IDReturns a Filestage folder by its ID, including its name and details.
Action
Get FoldersReturns all folders in your Filestage team.
Action
Get Project by IDReturns a Filestage project, including its name and details, by its ID.
Action
Get ProjectsReturns the projects in your Filestage team.
Action
Get Reviewer Groups by ProjectReturns the reviewer groups set up in a Filestage project.
Action
Find arbitrageFind cross-book arbitrage opportunities for a sport.
Action
Find middlesFind middle-betting opportunities for a sport.
Action
Find positive evFind positive expected-value bets for a sport.
Action
Get bookmakerGet details for one bookmaker by key.
Action
Get consensusGet consensus/market-average odds for a sport.
Action
Get event oddsGet odds for one specific event.
Action
Get futuresGet futures market odds for a sport.
Action
Get historical oddsGet archived odds for a past date/sport.
Action
Get line movementGet historical line-movement series for a sport's markets.
Action
Get oddsGet current odds across bookmakers for a sport.
Action
Get player propsGet player prop odds for a sport/event.
Action
Get scoresGet live/final scores for a sport.
Action
Grade clvGrade closing-line value for a placed bet.
Action
List bookmakersList all supported bookmakers/sportsbooks.
Action
List eventsList upcoming events for a sport.
Action
List sportsReturn all supported sport keys.
Action
Price parlayCompute a fair/true price for a multi-leg parlay.
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
Filestage and ParlayAPI, answered
What can start an automation from Filestage?
Any of Filestage's 1 trigger in the catalog, including When a Reviewer Is Invited to a Reviewer Group. Describe the moment in plain language and your agent picks the right one.
What can your agent do in ParlayAPI when something happens in Filestage?
Any of ParlayAPI's 17 actions, including Find arbitrage, Find middles, Find positive ev and Get bookmaker. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from ParlayAPI to Filestage?
ParlayAPI has no triggers in the catalog today, so automations start in Filestage. If you need the other direction, ask: your agent reads ParlayAPI's API documentation and adds it.
Do I have to build a connector for Filestage or ParlayAPI?
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 Filestage and ParlayAPI 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.