---
title: "Connect Spreedly to AI Agents: Automate SCA and Card Distribution"
slug: connect-spreedly-to-ai-agents-automate-sca-and-card-distribution
date: 2026-06-19
author: Uday Gajavalli
categories: ["AI & Agents"]
excerpt: "Learn how to connect Spreedly to AI Agents using Truto's tools endpoint to automate payment gateways, 3DS2 SCA authentication, and card token distribution."
tldr: "A comprehensive engineering guide on binding Spreedly's API to AI agents. Discover how to bypass complex tokenization and asynchronous webhook flows by auto-generating tool schemas for LangChain, Vercel AI SDK, and CrewAI."
canonical: https://truto.one/blog/connect-spreedly-to-ai-agents-automate-sca-and-card-distribution/
---

# Connect Spreedly to AI Agents: Automate SCA and Card Distribution


You want to connect Spreedly to an AI agent so your system can independently orchestrate payment gateways, distribute vaulted cards to third-party receivers, and automate 3DS2 Strong Customer Authentication (SCA) flows. Here is exactly how to do it using Truto's `/tools` endpoint and SDK, bypassing the need to hand-roll and maintain custom Spreedly API integration code. If your team uses ChatGPT, check out our guide on [/connect-spreedly-to-chatgpt-manage-payment-gateways-and-transactions/], or if you are building on Anthropic's models, read our guide on [/connect-spreedly-to-claude-orchestrate-global-payments-and-vaulting/]. For developers building custom autonomous workflows, you need a programmatic way to fetch these tools and bind them to your agent framework.

Giving a Large Language Model (LLM) read and write access to your payment orchestration layer is a significant engineering challenge. You either spend weeks building, hosting, and maintaining a custom connector, or you use a [unified API for AI agent tools](https://truto.one/the-best-unified-apis-for-llm-function-calling-ai-agent-tools-2026/) that handles the boilerplate for you. This guide breaks down exactly how to fetch AI-ready tools for Spreedly, bind them natively to an LLM using [LLM function calling](https://truto.one/what-is-llm-function-calling-for-integrations-2026-guide/) via LangChain (or any framework like LangGraph, CrewAI, or Vercel AI SDK), and execute complex payment operations autonomously. For a deeper look at the architecture behind this approach, refer to our research on [architecting AI agents with LangGraph and LangChain](https://truto.one/architecting-ai-agents-langgraph-langchain-and-the-saas-integration-bottleneck/).

## The Engineering Reality of Custom Spreedly Connectors

Building AI agents is easy. Connecting them to external SaaS APIs safely is hard. If you decide to build a custom integration for Spreedly, you own the entire API lifecycle. Spreedly's API introduces several highly specific integration challenges that break standard LLM assumptions.

### The Tokenization Vault Architecture
Unlike standard payment processors where you might pass raw payment data directly to a charge endpoint, Spreedly operates as an independent, PCI-DSS Level 1 compliant vault. An AI agent cannot just say "charge this card." It must understand the dual-token architecture: `payment_method_token` and `gateway_token`. 

To execute a purchase, the agent must first ensure the payment method is vaulted (producing a `payment_method_token`), verify that a gateway is provisioned (producing a `gateway_token`), and then construct a payload referencing both tokens. Hand-coding an agent to understand this relational mapping requires massive system prompts. Truto handles this by exposing explicit, strongly-typed schema dependencies in the tool descriptions, forcing the LLM to provide the correct upstream references.

### Asynchronous Batch Exports and Webhooks
Spreedly provides powerful Payment Method Distribution (PMD) capabilities, allowing you to export vaulted cards to third-party endpoints (Receivers). However, bulk exports via the API are strictly asynchronous. When you initiate a batch export, the immediate API response returns a state of `pending`. The final result is POSTed asynchronously to a `callback_url`.

LLMs operate synchronously and generally struggle with asynchronous polling loops or webhook resolution. If you write a custom tool for exports, you have to build a local state machine to capture the webhook and alert the agent. 

### Strong Customer Authentication (SCA) State Machines
In the European Economic Area, PSD2 mandates Strong Customer Authentication (SCA), commonly implemented via 3DS2. An AI agent processing a charge might suddenly receive an ambiguous state requiring user interaction. The agent must understand that a transaction is not "failed" but "pending challenge." It must parse the 3DS authentication requirements, pause execution, potentially alert a human-in-the-loop, and later execute a confirmation transaction to resolve the ambiguous state. Managing this multi-step state machine via custom code is a nightmare of nested conditionals. 

## Generating Spreedly Tool Calling Schemas via Truto

Instead of writing and maintaining TypeScript interfaces for Spreedly's complex tokenization and routing endpoints, you can use Truto to dynamically generate AI-ready tools. Every resource mapped in Truto is exposed via the `/tools` endpoint as an OpenAPI-compliant schema.

Because Truto acts as an unopinionated proxy, it normalizes upstream rate limit information without attempting to mask it. **Truto does not retry, throttle, or apply backoff on rate limit errors.** When Spreedly returns an HTTP 429 (for instance, hitting the 30 requests-per-minute limit on transaction listing), Truto passes that error directly to the caller. However, Truto normalizes the upstream rate limit information into standardized headers (`ratelimit-limit`, `ratelimit-remaining`, `ratelimit-reset`) per the IETF specification. Your agent framework is strictly responsible for catching these 429s and implementing exponential backoff.

Here is how you fetch and bind Spreedly tools using the Truto LangChain.js SDK:

```typescript
import { ChatOpenAI } from "@langchain/openai";
import { TrutoToolManager } from "@trutohq/truto-langchainjs-toolset";
import { AgentExecutor, createOpenAIToolsAgent } from "langchain/agents";

// Initialize the LLM
const llm = new ChatOpenAI({
  modelName: "gpt-4-turbo-preview",
  temperature: 0,
});

// Initialize the Truto Tool Manager for a specific connected Spreedly account
const trutoManager = new TrutoToolManager({
  trutoApiKey: process.env.TRUTO_API_KEY,
  integratedAccountId: "spreedly_account_123",
});

async function runPaymentAgent() {
  // Dynamically fetch all Spreedly tools (read and write methods)
  const tools = await trutoManager.getTools();
  
  // Bind tools to the LLM
  const modelWithTools = llm.bindTools(tools);
  
  // Create your agent loop here...
  console.log(`Successfully bound ${tools.length} Spreedly tools to the agent.`);
}

runPaymentAgent();
```

## Core Spreedly Agent Tools

When you connect Spreedly via Truto, your agent gains access to dozens of granular operations. Here are the highest-leverage tools for automating payment orchestration.

### create_a_spreedly_purchase
This is the core execution tool for moving funds. It charges a tokenized payment method against a specific gateway. Because Spreedly abstracts the underlying gateway (Stripe, Braintree, Adyen), the agent uses the exact same tool regardless of the final payment processor.

**Usage Notes:** The agent must provide a `gateway_token`, an `amount`, a `currency_code`, and a `payment_method_token` (or a supported alternative like an `sca_authentication_token`). 

> "Charge $150.00 USD to payment method token 'pm_abc123' using our primary EU Stripe gateway token 'gw_xyz789'."

### create_a_spreedly_sca_authentication
When a purchase requires step-up authentication due to PSD2/SCA regulations, the agent uses this tool to initiate a 3DS2 flow. It triggers the authentication process for a specific payment method and amount, determining if a challenge flow must be presented to the cardholder.

**Usage Notes:** This requires detailed browser information from the transaction payload. The agent must be instructed to pause and wait for a human-in-the-loop if the `authentication_response_status` indicates a challenge is required.

> "Initiate an SCA authentication check for payment method 'pm_abc123' for a transaction of €50. Use the browser fingerprint data from the latest session payload."

### create_a_spreedly_payment_method_delivery
Spreedly is not just for inbound payments; it is heavily used for Payment Method Distribution (PMD). This tool allows the agent to forward a vaulted payment method to a third-party receiver (like an external API or booking engine) in real time without exposing the raw card data to your internal systems.

**Usage Notes:** The agent needs a `receiver_token` and the `payment_method_token`. It is crucial for automating payouts or booking distributions across different platforms.

> "Deliver the vaulted payment method 'pm_abc123' to our external booking partner via receiver token 'rcv_456def'."

### create_a_spreedly_export
For compliance and bulk data migration, the agent can initiate a batch export of multiple payment methods to an SFTP endpoint. 

**Usage Notes:** The operation is strictly asynchronous. The agent will receive a `pending` state and must be instructed to monitor the provided `callback_url` or simply log the export job ID for a separate worker to verify.

> "Create a batch export containing payment method tokens 'pm_1', 'pm_2', and 'pm_3'. Send the output to our secure SFTP URL and set the callback to our internal logging webhook."

### create_a_spreedly_gateway
This tool provisions a new payment gateway in the Spreedly environment. It is highly useful for autonomous tenant onboarding in B2B SaaS platforms where each of your customers needs their own connected gateway.

**Usage Notes:** The agent must specify the `gateway_type` (e.g., 'stripe', 'paypal') and inject the required credentials into the payload.

> "Provision a new Stripe gateway in the Spreedly sandbox environment using the provided testing credentials and return the new gateway token."

### create_a_spreedly_transaction
Also known as a status inquiry, this tool syncs a transaction's state with the underlying gateway. If a previous purchase timed out or returned an ambiguous pending state, the agent uses this tool to poll the gateway for the final resolution.

**Usage Notes:** Requires the transaction `id`. Each transaction supports a maximum of 200 inquiry requests before Spreedly rejects further polling.

> "Check the final status of pending transaction 'tx_999888'. If it succeeded, log the updated timestamp."

To view the complete inventory of available tools, required parameters, and detailed JSON schemas, visit the [Spreedly integration page](https://truto.one/integrations/detail/spreedly).

## Workflows in Action

Providing an LLM with individual tools is only the first step. The true power of Truto's integration is enabling complex, multi-step workflows. Here are examples of how specific personas use these tools.

### 1. The Autonomous Payment Router
**Persona:** Payment Integration Engineer

> "We just onboarded a new merchant. Provision a new Braintree gateway using their credentials. Once provisioned, execute a $1.00 USD authorization against their test payment method token to verify the connection is active, then void the authorization."

1. The agent calls `create_a_spreedly_gateway` with `gateway_type: braintree` and the injected credentials.
2. It parses the response to extract the new `token` (the gateway token).
3. It calls `create_a_spreedly_authorization` using the new gateway token, the test payment method token, and an amount of `100` (cents).
4. Finally, it parses the authorization transaction token and calls `create_a_spreedly_void` to clean up the test charge.

**Result:** The agent autonomously provisions, tests, and verifies a new tenant's payment infrastructure without human intervention.

### 2. Ambiguous State Resolution
**Persona:** FinOps Admin

> "Transaction 'tx_555444' has been stuck in a pending state for an hour. Check its actual status with the gateway. If the gateway reports a failure, check if the payment method has an active network token. If network tokenization failed, output a report."

1. The agent calls `create_a_spreedly_transaction` passing the `id` 'tx_555444' to force a sync with the gateway.
2. The agent reads the returned `state`. If the state is `failed`, it extracts the `payment_method_token` from the transaction payload.
3. It then calls `get_single_spreedly_network_token_by_id` using that payment method token.
4. It formulates a final summary response detailing why the transaction failed and the current health of the network token.

**Result:** The FinOps team gets immediate, multi-layered diagnostic context on failed payments without logging into the Spreedly dashboard.

### 3. Payment Method Distribution (PMD)
**Persona:** Compliance Officer

> "We need to distribute a customer's corporate card to our hotel booking partner. Take payment method 'pm_corp999' and deliver it securely to our Expedia receiver. Return the delivery status."

1. The agent calls `create_a_spreedly_payment_method_delivery` with the target `payment_method_token` and the predefined `receiver_token` for the partner.
2. It monitors the resulting transaction object, checking the `state` to ensure it transitions to `succeeded`.
3. It formats a compliance-safe log entry noting the timestamp and receiver ID.

**Result:** The card is securely vaulted and distributed entirely via API, keeping your internal systems out of PCI scope.

## Building Multi-Step Workflows

To safely run autonomous payment workflows, your agent framework must be designed to handle failures, particularly rate limits. The following sequence diagram illustrates an architecture where the agent encounters a rate limit during a batch status check and natively handles the backoff.

```mermaid
sequenceDiagram
    participant Agent as AI Agent
    participant Truto as Truto Proxy
    participant Upstream as Upstream API (Spreedly)
    
    Agent->>Truto: execute list_all_spreedly_transactions
    Truto->>Upstream: GET /v1/transactions.json
    Upstream-->>Truto: 429 Too Many Requests
    Truto-->>Agent: 429 Error + IETF ratelimit headers
    Note over Agent: Agent reads ratelimit-reset<br>Applies exponential backoff
    Agent->>Truto: execute list_all_spreedly_transactions (retry)
    Truto->>Upstream: GET /v1/transactions.json
    Upstream-->>Truto: 200 OK
    Truto-->>Agent: JSON payload returned to LLM context
```

Because Truto normalizes the error responses, your LangChain or LangGraph implementation can use a standardized interceptor for HTTP 429s. 

If you build this custom, you would have to parse Spreedly's specific XML/JSON error formats manually. Truto ensures that your agent receives standard REST JSON with uniform header structures, allowing your agent's error-handling nodes to remain provider-agnostic. This is critical when chaining multiple tools - for example, listing transactions, extracting tokens, and firing off multiple async export requests in a tight loop.

## Automate Payments Safely

Connecting an LLM to Spreedly enables unparalleled automation for FinOps, tenant onboarding, and payment routing. By leveraging Truto's dynamically generated tool schemas, you bypass the massive technical debt of building PCI-compliant connector wrappers, managing raw token lifecycles, and parsing custom XML error payloads.

Instead of spending sprints debugging asynchronous batch jobs, you can pass unified, strongly-typed OpenAPI schemas directly to your agent framework and focus on building intelligent payment orchestration.

> Ready to connect Spreedly to your AI agents without the engineering boilerplate? Book a technical deep dive with our team.
>
> [Talk to us](https://cal.com/truto/partner-with-truto)