---
title: "Connect PandaDoc to TensorFeed - APIANT.ai"
description: "When \"Document completed\" fires in PandaDoc, your agent runs \"Buy credits\" in TensorFeed."
canonical: "https://apiant.ai/connect/pandadoc-to-tensorfeed"
---

# Connect PandaDoc to TensorFeed

When **Document completed** fires in [PandaDoc](https://apiant.ai/connections/pandadoc), your agent runs **Buy credits** in [TensorFeed](https://apiant.ai/connections/tensorfeed). Describe the whole flow and it is built, tested on every scenario and kept running.

PandaDoc **3** triggers PandaDoc **19** actions TensorFeed **27** 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 TensorFeed 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 TensorFeed

- When **Document completed** in PandaDoc then **Buy credits** in TensorFeed
- When **Document updated** in PandaDoc then **Find AI news** in TensorFeed

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 TensorFeed

## Triggers and actions 3 triggers · 46 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

**Buy credits**

Initiate a credit purchase against a sender wallet.

- Action

**Find AI news**

Full-text search across the AI news archive.

- Action

**Get AFTA adopter directory**

Fetch the machine-readable AFTA adopter directory.

- Action

**Get AI agent directory**

Fetch a curated directory of AI agents and frameworks.

- Action

**Get AI benchmark scores**

Fetch public benchmark scores for major AI models.

- Action

**Get AI ecosystem daily brief**

Fetch a composite daily brief covering the AI ecosystem.

- Action

**Get AI model pricing and specs**

Fetch pricing and specs for AI models.

- Action

**Get AI news**

Fetch aggregated AI news articles.

- Action

**Get AI podcast episodes**

Fetch recent AI podcast episodes.

- Action

**Get AI service status**

Fetch operational status for major AI services.

- Action

**Get benchmark trust verdict**

Fetch a trust band and score for an AI benchmark.

- Action

**Get cheapest GPU offer**

Fetch the cheapest current offer for a canonical GPU.

- Action

**Get cross-provider model catalog**

Fetch a cross-provider AI model catalog snapshot from OpenRouter.

- Action

**Get failover verdict**

Fetch the best operational failover target when a provider degrades.

- Action

**Get GPU rental pricing**

Fetch current GPU rental pricing snapshot.

- Action

**Get HF daily papers**

Fetch Hugging Face Daily Papers with community signal.

- Action

**Get historical snapshot**

Fetch one historical daily snapshot by date and type.

- Action

**Get hot AI GitHub issues**

Fetch currently-hot GitHub issues across AI repos.

- Action

**Get LLM endpoint latency probes**

Fetch the last 24 hours of LLM endpoint latency probes.

- Action

**Get MCP server registry snapshot**

Fetch a daily summary of the MCP server registry.

- Action

**Get model deprecation calendar**

Fetch the AI model deprecation calendar.

- Action

**Get recent arXiv papers**

Fetch the most recent AI/ML arXiv submissions.

- Action

**Get stack safety verdict**

Fetch a GO/HOLD/BLOCK deploy gate verdict for an AI-stack package.

- Action

**Get trending AI GitHub repos**

Fetch trending GitHub repositories in AI.

- Action

**Get trending AI papers**

Fetch daily citation-ranked AI/ML papers from Semantic Scholar.

- Action

**Get trending Hugging Face models**

Fetch top trending Hugging Face models, datasets, and Spaces.

- Action

**Get trending Reddit AI threads**

Fetch currently-hot AI discussion threads on Reddit.

## 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)
- [ **TensorFeed** TensorFeed aggregates real-time information about the AI industry.](https://apiant.ai/connections/tensorfeed)

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 TensorFeed

- [ **HubSpot to TensorFeed** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-tensorfeed)
- [ **Salesforce to TensorFeed** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-tensorfeed)
- [ **Slack to TensorFeed** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-tensorfeed)
- [ **Google Sheets to TensorFeed** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-tensorfeed)
- [ **Gmail to TensorFeed** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-tensorfeed)
- [ **Google Calendar to TensorFeed** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-tensorfeed)

Questions

## PandaDoc and TensorFeed, 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 TensorFeed when something happens in PandaDoc?

Any of TensorFeed's 27 actions, including Buy credits, Find AI news, Get AFTA adopter directory and Get AI agent directory. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from TensorFeed to PandaDoc?

TensorFeed has no triggers in the catalog today, so automations start in PandaDoc. If you need the other direction, ask: your agent reads TensorFeed's API documentation and adds it.

###

### Do I have to build a connector for PandaDoc or TensorFeed?

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 TensorFeed 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.
