--- title: "Connect PandaDoc to Bitquery - APIANT.ai" description: "When \"Document completed\" fires in PandaDoc, your agent runs \"Run GraphQL query\" in Bitquery." canonical: "https://apiant.ai/connect/pandadoc-to-bitquery" --- # Connect PandaDoc to Bitquery When **Document completed** fires in [PandaDoc](https://apiant.ai/connections/pandadoc), your agent runs **Run GraphQL query** in [Bitquery](https://apiant.ai/connections/bitquery). Describe the whole flow and it is built, tested on every scenario and kept running. PandaDoc **3** triggers PandaDoc **19** actions Bitquery **5** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want PandaDoc and Bitquery to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What PandaDoc can start in Bitquery - When **Document completed** in PandaDoc then **Run GraphQL query** in Bitquery - When **Document updated** in PandaDoc then **Get address balance** in Bitquery 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 PandaDoc and Bitquery ## Triggers and actions 3 triggers · 24 actions - Trigger **Document completed** Polling trigger. Fires when a document reaches completed status. Dedup by document id. - Trigger **Document completed (instant)** Instant trigger: fires when a PandaDoc document reaches the completed state. Self-registering — APIANT creates the PandaDoc webhook when you turn the automation on and removes it when you turn it off, so there is nothing to paste. Only document_state_changed events with status document.completed are passed through; each fires once with the document id, name, status, created/modified/completed timestamps and the full document object. - Trigger **Document updated** Polling trigger. Fires when a document is created or changes status. Dedup by document id + date_modified. - Action **Change document status** Manually changes a document's status (e.g. to mark paid or voided). Only certain transitions are allowed. - Action **Create contact** Creates a new contact. - Action **Create document from template** Creates a new document from a template, with recipients, tokens, fields, and pricing tables. - Action **Create document link** Generates a shareable session link for a recipient to view/sign a document. - Action **Delete contact** Deletes a contact by ID. - Action **Delete document** Deletes a document by ID. - Action **Download document PDF** Returns the document as a PDF file. Use watermark options as needed. - Action **Find document by name** Finds a document by name and emits its ID. An error occurs if none or more than one is found. - Action **Get document details** Retrieves detailed data for a single document by ID, including recipients, tokens, fields, and metadata. - Action **Get document entered data** Emits arrays of field and token names and values for the specified document. - Action **Get document status** Returns the current status of a document by ID. - Action **Get template details** Retrieves details for a template by ID, including roles, fields, tokens, and pricing tables. - Action **List contacts** Lists contacts in the workspace. - Action **List documents** Lists documents, optionally filtered by status, template, folder, or search query. - Action **List folders** Lists document folders. - Action **List members** Lists workspace members (users). - Action **List templates** Lists available document templates. - Action **Send document** Moves a draft document to sent status, optionally emailing recipients with a subject and message. Set silent to suppress notifications. - Action **Update contact** Updates an existing contact by ID. - Action **Get address balance** GraphQL query EVM(network){BalanceUpdates} on streaming.bitquery.io/graphql, summing Amount for an address. - Action **Get API usage** Usage API (docs.bitquery.io Usage API - Track Billing and Quota): returns points used and quota. - Action **List DEX trades** GraphQL query EVM(network){DEXTrades} on streaming.bitquery.io/graphql; filter by network, token, limit. - Action **List token transfers** GraphQL query EVM(network){Transfers} on streaming.bitquery.io/graphql; filter by address/currency. - Action **Run GraphQL query** ## Each app on its own - [ **PandaDoc** PandaDoc helps you build and deliver sales quotes and proposals and track presentations and close deals...](https://apiant.ai/connections/pandadoc) - [ **Bitquery** GraphQL and streaming API providing real-time and historical blockchain data across 40+ chains, including...](https://apiant.ai/connections/bitquery) Reviews ## What our customers say ## More from PandaDoc - [ **PandaDoc to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/pandadoc-to-salesforce) - [ **PandaDoc to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/pandadoc-to-stripe) - [ **PandaDoc to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/pandadoc-to-shopify) - [ **PandaDoc to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/pandadoc-to-quickbooks-online) - [ **PandaDoc to Pipedrive** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pandadoc-to-pipedrive) - [ **PandaDoc to Trello** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/pandadoc-to-trello) ## More into Bitquery - [ **HubSpot to Bitquery** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-bitquery) - [ **Salesforce to Bitquery** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-bitquery) - [ **Slack to Bitquery** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-bitquery) - [ **Google Sheets to Bitquery** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-bitquery) - [ **Gmail to Bitquery** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-bitquery) - [ **Google Calendar to Bitquery** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-bitquery) Questions ## PandaDoc and Bitquery, answered ### ### What can start an automation from PandaDoc? Any of PandaDoc's 3 triggers in the catalog, including Document completed, Document completed (instant) and Document updated. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Bitquery when something happens in PandaDoc? Any of Bitquery's 5 actions, including Get address balance, Get API usage, List DEX trades and List token transfers. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Bitquery to PandaDoc? Bitquery has no triggers in the catalog today, so automations start in PandaDoc. If you need the other direction, ask: your agent reads Bitquery's API documentation and adds it. ### ### Do I have to build a connector for PandaDoc or Bitquery? 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 PandaDoc and Bitquery 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.