Autotask API Patterns · git:20260413.be4a4dd · 2026-04-13 · sha256 7b4bfe871642fa31
Autotask API Patterns git:20260413.be4a4ddA
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---
name: "Autotask API Patterns"
description: >
Use this skill when working with the Autotask REST API - authentication,
query building, pagination, includes, rate limiting, and error handling.
Covers all 14 query operators, zone detection, header authentication,
retry strategies, and best practices for API integration.
when_to_use: "When working with authentication, query building, pagination, includes, rate limiting, and error handling in the Autotask REST API"
triggers:
- autotask api
- autotask query
- autotask authentication
- api filter
- query builder
- autotask pagination
- api rate limit
- autotask zone
- api error
- autotask rest
---
# Autotask API Patterns
## Overview
The Autotask REST API provides access to 215+ entities across the PSA. This skill covers authentication, query building, pagination, error handling, and performance optimization patterns.
## Authentication
### Header-Based Authentication
Autotask uses header-based authentication (NOT Basic Auth):
```http
GET /v1.0/Tickets
ApiIntegrationCode: YOUR_INTEGRATION_CODE
UserName: your-api-user@domain.com
Secret: YOUR_SECRET
Content-Type: application/json
```
**Required Headers:**
| Header | Description |
|--------|-------------|
| `ApiIntegrationCode` | Your Autotask integration code |
| `UserName` | API username (email address) |
| `Secret` | API secret/password |
| `Content-Type` | `application/json` |
### Environment Variables
```bash
export AUTOTASK_USERNAME="your-api-user@domain.com"
export AUTOTASK_INTEGRATION_CODE="YOUR_INTEGRATION_CODE"
export AUTOTASK_SECRET="YOUR_SECRET"
```
### Automatic Zone Detection
Autotask operates in multiple zones. The API can automatically detect your zone:
```http
GET https://webservices.autotask.net/atservicesrest/v1.0/ZoneInformation
UserName: your-api-user@domain.com
```
**Response:**
```json
{
"url": "https://webservices5.autotask.net/atservicesrest",
"webUrl": "https://ww5.autotask.net"
}
```
**Common Zones:**
| Zone | API URL |
|------|---------|
| webservices | `https://webservices.autotask.net/atservicesrest` |
| webservices1 | `https://webservices1.autotask.net/atservicesrest` |
| webservices2 | `https://webservices2.autotask.net/atservicesrest` |
| webservices5 | `https://webservices5.autotask.net/atservicesrest` |
| webservices6 | `https://webservices6.autotask.net/atservicesrest` |
## Query Builder
### Query Operators
The Autotask API supports 14 query operators:
| Operator | Description | Example |
|----------|-------------|---------|
| `eq` | Equals | `{"field": "status", "op": "eq", "value": 1}` |
| `ne` / `noteq` | Not equals | `{"field": "status", "op": "noteq", "value": 5}` |
| `gt` | Greater than | `{"field": "priority", "op": "gt", "value": 2}` |
| `gte` | Greater than or equal | `{"field": "createDate", "op": "gte", "value": "2024-01-01"}` |
| `lt` | Less than | `{"field": "priority", "op": "lt", "value": 3}` |
| `lte` | Less than or equal | `{"field": "dueDateTime", "op": "lte", "value": "2024-02-15T17:00:00Z"}` |
| `contains` | Contains substring | `{"field": "title", "op": "contains", "value": "email"}` |
| `startsWith` | Starts with | `{"field": "companyName", "op": "startsWith", "value": "Acme"}` |
| `endsWith` | Ends with | `{"field": "email", "op": "endsWith", "value": "@acme.com"}` |
| `in` | In array | `{"field": "status", "op": "in", "value": [1, 2, 5]}` |
| `notIn` | Not in array | `{"field": "status", "op": "notIn", "value": [5, 10]}` |
| `isNull` | Is null | `{"field": "assignedResourceId", "op": "isNull"}` |
| `isNotNull` | Is not null | `{"field": "dueDateTime", "op": "isNotNull"}` |
| `between` | Between range | `{"field": "createDate", "op": "between", "value": ["2024-01-01", "2024-01-31"]}` |
### Date Filtering: "Today" Queries
**CRITICAL:** To filter for records from "today", you must use a **range** — `gte` today's date AND `lt` tomorrow's date. Using only today's date (e.g. `eq` or a single filter on today) returns **zero results**. "Today" in Autotask means: created on or after today's midnight, but before tomorrow's midnight.
**Correct — "tickets created today":**
```json
{
"filter": [
{"field": "createDate", "op": "gte", "value": "2026-04-13T00:00:00Z"},
{"field": "createDate", "op": "lt", "value": "2026-04-14T00:00:00Z"}
]
}
```
**Wrong — returns NO results:**
```json
{
"filter": [
{"field": "createDate", "op": "eq", "value": "2026-04-13"}
]
}
```
Always compute "tomorrow" dynamically. For example:
```javascript
const today = new Date();
today.setHours(0, 0, 0, 0);
const tomorrow = new Date(today);
tomorrow.setDate(tomorrow.getDate() + 1);
const todayISO = today.toISOString(); // "2026-04-13T00:00:00.000Z"
const tomorrowISO = tomorrow.toISOString(); // "2026-04-14T00:00:00.000Z"
```
This pattern applies to **all datetime fields** (`createDate`, `lastActivityDate`, `dueDateTime`, `startDateTime`, `endDateTime`, `dateWorked`, etc.) across all entities — not just tickets.
### Query Structure
```http
POST /v1.0/Tickets/query
Content-Type: application/json
```
```json
{
"filter": [
{"field": "companyID", "op": "eq", "value": 12345},
{"field": "status", "op": "noteq", "value": 5}
],
"maxRecords": 50,
"includeFields": ["Company.companyName", "AssignedResource.firstName"]
}
```
### Complex Queries with Logical Grouping
**AND conditions (default):**
```json
{
"filter": [
{"field": "companyID", "op": "eq", "value": 12345},
{"field": "priority", "op": "lte", "value": 2},
{"field": "status", "op": "in", "value": [1, 2, 5]}
]
}
```
**OR conditions with items array:**
```json
{
"filter": [
{
"op": "or",
"items": [
{"field": "priority", "op": "eq", "value": 1},
{"field": "status", "op": "eq", "value": 14}
]
}
]
}
```
**Nested AND/OR:**
```json
{
"filter": [
{"field": "companyID", "op": "eq", "value": 12345},
{
"op": "or",
"items": [
{"field": "priority", "op": "in", "value": [3, 4]},
{
"op": "and",
"items": [
{"field": "status", "op": "eq", "value": 1},
{"field": "estimatedHours", "op": "gt", "value": 10}
]
}
]
}
]
}
```
### Field Includes
Retrieve related entity fields in a single request:
```json
{
"filter": [{"field": "id", "op": "gt", "value": 0}],
"includeFields": [
"Company.companyName",
"Company.phone",
"AssignedResource.firstName",
"AssignedResource.lastName",
"Contact.emailAddress"
]
}
```
**Response with includes:**
```json
{
"items": [
{
"id": 54321,
"title": "Email issue",
"companyID": 12345,
"companyName": "Acme Corporation",
"companyPhone": "555-123-4567",
"assignedResourceFirstName": "Jane",
"assignedResourceLastName": "Tech"
}
]
}
```
## Pagination
### Request Pagination
```json
{
"filter": [{"field": "id", "op": "gt", "value": 0}],
"maxRecords": 100,
"pageNumber": 1
}
```
**Pagination Fields:**
| Field | Description | Max |
|-------|-------------|-----|
| `maxRecords` | Records per page | 500 |
| `pageNumber` | Current page (1-based) | - |
### Response Structure
```json
{
"items": [...],
"pageDetails": {
"count": 100,
"nextPageUrl": "/v1.0/Tickets/query?pageNumber=2",
"prevPageUrl": null,
"requestCount": 2847
}
}
```
### Efficient Pagination Pattern
```javascript
async function fetchAllTickets(filter) {
const allItems = [];
let pageNumber = 1;
let hasMore = true;
while (hasMore) {
const response = await fetch('/v1.0/Tickets/query', {
method: 'POST',
body: JSON.stringify({
filter,
maxRecords: 500,
pageNumber
})
});
const data = await response.json();
allItems.push(...data.items);
hasMore = data.pageDetails.nextPageUrl !== null;
pageNumber++;
}
return allItems;
}
```
## Rate Limiting
### Autotask API Hard Limits
Autotask enforces two hard limits:
| Limit | Value | Scope |
|-------|-------|-------|
| **Concurrent threads per endpoint** | **3** | Per API tracking identifier (your `integrationCode`) |
| **Total requests per hour** | **10,000** | Per Autotask tenant database (all integrations combined) |
**Concurrent thread limit** is the most common cause of slowdowns in LLM-driven integrations. When Claude issues several tool calls in parallel (e.g., tickets search + companies search + contacts search), all three may target the Tickets endpoint simultaneously and hit the 3-thread cap.
When using the MCP server or `autotask-node` SDK, this is handled automatically — excess requests are queued and released as slots free up, so you won't see hard failures, but responses may be slower under load.
**Multi-user / shared key risk**: The 3-thread limit applies per `integrationCode`. If multiple users or teams share the same credentials, they compete for the same 3 slots. In a team deployment, give each team their own API user:
```
Support Team → integrationCode: SUPPORT_TEAM_CODE (3 threads, independent)
Projects Team → integrationCode: PROJECTS_TEAM_CODE (3 threads, independent)
```
### Rate Limit Response
When the concurrent thread limit or hourly request limit is exceeded (HTTP 429):
```json
{
"errors": [
{
"message": "Rate limit exceeded. Try again in 30 seconds."
}
]
}
```
### Retry Strategy
```javascript
async function requestWithRetry(url, options, maxRetries = 5) {
for (let attempt = 0; attempt < maxRetries; attempt++) {
try {
const response = await fetch(url, options);
if (response.status === 429) {
const retryAfter = response.headers.get('Retry-After') || 30;
const jitter = Math.random() * 1000;
await sleep(retryAfter * 1000 + jitter);
continue;
}
return response;
} catch (error) {
if (attempt === maxRetries - 1) throw error;
// Exponential backoff with jitter
const delay = Math.pow(2, attempt) * 1000 + Math.random() * 1000;
await sleep(delay);
}
}
}
```
### Query Different Entity Types in Parallel
To maximize throughput without hitting the per-endpoint thread limit, query **different endpoints in parallel** rather than the same endpoint multiple times:
```javascript
// Good: parallel requests to different endpoints — each has its own 3-thread budget
const [tickets, companies, contacts] = await Promise.all([
client.tickets.query().where('status', 'in', [1, 5]).execute(),
client.companies.query().where('companyType', 'eq', 1).execute(),
client.contacts.query().where('isActive', 'eq', true).execute(),
]);
// Avoid: parallel requests to the SAME endpoint — they share 3 threads
// (will queue automatically, but adds latency)
const [page1, page2, page3] = await Promise.all([
client.tickets.query().pageNumber(1).execute(), // ← same endpoint
client.tickets.query().pageNumber(2).execute(), // ← same endpoint
client.tickets.query().pageNumber(3).execute(), // ← same endpoint
]);
```
### Batch Processing
For bulk operations, batch requests to avoid the hourly limit:
```javascript
async function batchProcess(items, batchSize = 50, delayMs = 1000) {
const results = [];
for (let i = 0; i < items.length; i += batchSize) {
const batch = items.slice(i, i + batchSize);
const batchResults = await Promise.all(
batch.map(item => processItem(item))
);
results.push(...batchResults);
if (i + batchSize < items.length) {
await sleep(delayMs);
}
}
return results;
}
```
## Error Handling
### HTTP Status Codes
| Code | Meaning | Action |
|------|---------|--------|
| 200 | Success | Process response |
| 201 | Created | Entity created successfully |
| 400 | Bad Request | Check request format/values |
| 401 | Unauthorized | Verify credentials |
| 403 | Forbidden | Check permissions |
| 404 | Not Found | Entity doesn't exist |
| 409 | Conflict | Resource locked/modified |
| 429 | Rate Limited | Implement backoff |
| 500 | Server Error | Retry with backoff |
### Error Response Format
```json
{
"errors": [
{
"message": "The value '999' is not valid for field 'status'.",
"field": "status",
"value": 999
}
]
}
```
### Validation Error Handling
```javascript
function handleApiError(response) {
if (!response.errors) return;
response.errors.forEach(error => {
console.log(`Error: ${error.message}`);
if (error.field) {
console.log(` Field: ${error.field}`);
console.log(` Invalid Value: ${error.value}`);
// Suggest fix based on field
if (error.field === 'status') {
console.log(' Suggestion: Query /v1.0/Tickets/entityInformation/fields for valid status IDs');
} else if (error.field === 'queueID') {
console.log(' Suggestion: Query /v1.0/Queues for valid queue IDs');
}
}
});
}
```
## Entity Information
### Get Field Definitions
```http
GET /v1.0/Tickets/entityInformation/fields
```
**Response:**
```json
{
"fields": [
{
"name": "status",
"dataType": "Integer",
"isRequired": true,
"isPickList": true,
"picklistValues": [
{"value": 1, "label": "New"},
{"value": 2, "label": "In Progress"},
{"value": 5, "label": "Complete"}
]
}
]
}
```
### Get User-Defined Fields
```http
GET /v1.0/Tickets/entityInformation/userDefinedFields
```
## CRUD Operations
### Create (POST)
```http
POST /v1.0/Tickets
Content-Type: application/json
{
"companyID": 12345,
"title": "New ticket",
"status": 1,
"priority": 2,
"queueID": 8
}
```
### Read (GET)
**Single entity:**
```http
GET /v1.0/Tickets/54321
```
**Query:**
```http
POST /v1.0/Tickets/query
```
### Update (PATCH)
```http
PATCH /v1.0/Tickets
Content-Type: application/json
{
"id": 54321,
"status": 2,
"assignedResourceID": 29744150
}
```
### Replace (PUT)
```http
PUT /v1.0/Tickets/54321
Content-Type: application/json
{
"id": 54321,
"companyID": 12345,
"title": "Updated ticket",
"status": 2,
"priority": 2,
"queueID": 8
}
```
### Delete (DELETE)
```http
DELETE /v1.0/Tickets/54321
```
**Note:** Not all entities support DELETE. Check entity documentation.
## Performance Optimization
### Select Only Needed Fields
```json
{
"filter": [{"field": "id", "op": "gt", "value": 0}],
"fields": ["id", "title", "status", "priority"]
}
```
### Use Efficient Filters
**Good - Uses indexed field:**
```json
{"field": "companyID", "op": "eq", "value": 12345}
```
**Avoid - Full text search:**
```json
{"field": "description", "op": "contains", "value": "error"}
```
### Cache Reference Data
Cache slowly-changing data:
- Queues
- Resources
- Issue Types
- Priorities
- Company lists
```javascript
const cache = new Map();
async function getQueues() {
if (!cache.has('queues') || cache.get('queues').expires < Date.now()) {
const queues = await fetchQueues();
cache.set('queues', {
data: queues,
expires: Date.now() + 5 * 60 * 1000 // 5 minutes
});
}
return cache.get('queues').data;
}
```
## Best Practices
1. **Detect zone once** - Cache the zone URL after initial detection
2. **Use includes** - Avoid N+1 queries by including related data
3. **Paginate large results** - Never fetch unbounded result sets
4. **Implement retry logic** - Handle rate limits and transient errors
5. **Cache reference data** - Reduce API calls for static lookups
6. **Select specific fields** - Only request fields you need
7. **Use batch operations** - Group related operations together
8. **Monitor rate limits** - Track remaining requests
9. **Log API calls** - Enable debugging and audit trails
10. **Validate before sending** - Check required fields client-side
11. **One API key per team** - Autotask limits 3 concurrent threads per `integrationCode`. Each team using the integration should have their own API user so they don't compete for the same thread budget
12. **Parallelize across endpoints, not within** - To maximize throughput, query Tickets + Companies + Contacts simultaneously (different endpoints, independent thread budgets) rather than fetching multiple pages of the same endpoint in parallel
## Related Skills
- [Autotask Tickets](../tickets/SKILL.md) - Ticket management
- [Autotask CRM](../crm/SKILL.md) - Company and contact management
- [Autotask Contracts](../contracts/SKILL.md) - Service agreements