Automating NICE CXone Social Media Sentiment Queue Moderation with TypeScript
What You Will Build
- This code fetches social media posts from a CXone sentiment queue, validates moderation payloads against toxicity thresholds and batch limits, applies keyword masking, and submits atomic moderation actions.
- The implementation uses the NICE CXone Social Media API v2 endpoints for queue retrieval and moderation action submission.
- The tutorial provides a complete TypeScript service using
axiosfor HTTP operations,ajvfor schema validation, and structured logging for audit compliance.
Prerequisites
- OAuth confidential client registered in CXone with scopes:
social:read,social:write,social:moderate - CXone API version: v2
- Runtime: Node.js 18 or higher
- Dependencies:
npm install axios ajv @types/node typescript - Environment variables:
CXONE_ORG_ID,CXONE_CLIENT_ID,CXONE_CLIENT_SECRET,CXONE_QUEUE_ID,COMPLIANCE_WEBHOOK_URL
Authentication Setup
CXone uses standard OAuth 2.0 client credentials flow. The service caches the access token and tracks expiration to avoid unnecessary token requests.
import axios, { AxiosInstance } from 'axios';
interface TokenResponse {
access_token: string;
token_type: string;
expires_in: number;
scope: string;
}
class AuthManager {
private client: AxiosInstance;
private token: string | null = null;
private expiresAt: number = 0;
constructor(private orgId: string, private clientId: string, private clientSecret: string) {
this.client = axios.create({
baseURL: `https://${orgId}.api.cxone.com`,
timeout: 10000,
headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
});
}
async getToken(): Promise<string> {
if (this.token && Date.now() < this.expiresAt) {
return this.token;
}
const params = new URLSearchParams({
grant_type: 'client_credentials',
client_id: this.clientId,
client_secret: this.clientSecret,
scope: 'social:read social:write social:moderate'
});
const response = await this.client.post<TokenResponse>('/oauth/token', params);
this.token = response.data.access_token;
this.expiresAt = Date.now() + (response.data.expires_in * 1000) - 30000;
return this.token;
}
getApiClient(): AxiosInstance {
return axios.create({
baseURL: `https://${this.orgId}.api.cxone.com/api/v2/social`,
timeout: 15000,
headers: { 'Content-Type': 'application/json' }
});
}
}
Implementation
Step 1: Queue Fetching with Pagination and Format Verification
The service retrieves items from the sentiment moderation queue. CXone returns paginated results with a nextPageToken. The code verifies the response schema before processing.
interface QueueItem {
id: string;
campaignId: string;
sentiment: 'POSITIVE' | 'NEUTRAL' | 'NEGATIVE';
toxicityScore: number;
language: string;
content: string;
createdAt: string;
}
async function fetchQueuePage(
apiClient: AxiosInstance,
token: string,
queueId: string,
pageToken?: string
): Promise<{ items: QueueItem[]; nextPageToken?: string }> {
const params: Record<string, string> = { queueId, limit: '50' };
if (pageToken) params.pageToken = pageToken;
const response = await apiClient.get('/moderation/queue', {
headers: { Authorization: `Bearer ${token}` },
params
});
const data = response.data;
if (!Array.isArray(data?.items)) {
throw new Error('Invalid queue response format: items array missing');
}
return {
items: data.items,
nextPageToken: data.nextPageToken
};
}
HTTP Request Cycle
GET /api/v2/social/moderation/queue?queueId=sentiment_neg_01&limit=50 HTTP/1.1
Host: acme.api.cxone.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Accept: application/json
HTTP/1.1 200 OK
Content-Type: application/json
{
"items": [
{
"id": "post_8f3a2c",
"campaignId": "camp_123",
"sentiment": "NEGATIVE",
"toxicityScore": 0.72,
"language": "en",
"content": "This product is completely unacceptable and poorly made",
"createdAt": "2024-05-14T08:32:00Z"
}
],
"nextPageToken": "eyJwYWdlIjoyfQ=="
}
Step 2: Payload Construction, Toxicity Thresholds, and Keyword Masking
Moderation payloads require queue ID references, toxicity threshold matrices, and escalation directives. The service applies automatic keyword masking before submission to prevent policy violations.
interface ToxicityThresholds {
low: number;
medium: number;
high: number;
}
interface EscalationDirective {
action: 'APPROVE' | 'FLAG' | 'ESCALATE' | 'REMOVE';
reason: string;
}
const MASKED_KEYWORDS = ['profanity', 'pii_placeholder', 'restricted_term'];
function applyKeywordMasking(content: string): string {
return MASKED_KEYWORDS.reduce((masked, keyword) => {
const regex = new RegExp(keyword, 'gi');
return masked.replace(regex, '[MASKED]');
}, content);
}
function determineEscalation(score: number, thresholds: ToxicityThresholds): EscalationDirective {
if (score >= thresholds.high) return { action: 'ESCALATE', reason: 'High toxicity threshold exceeded' };
if (score >= thresholds.medium) return { action: 'FLAG', reason: 'Medium toxicity requires review' };
return { action: 'APPROVE', reason: 'Within acceptable toxicity range' };
}
Step 3: Schema Validation and Batch Limit Enforcement
CXone enforces maximum review batch limits. The service validates payloads against a strict JSON schema using AJV to prevent 400 errors before network transmission.
import Ajv from 'ajv';
const ajv = new Ajv({ allErrors: true });
const moderationSchema = {
type: 'object',
required: ['queueId', 'actions'],
properties: {
queueId: { type: 'string', minLength: 1 },
actions: {
type: 'array',
maxItems: 50,
items: {
type: 'object',
required: ['postId', 'action', 'reason', 'maskedContent'],
properties: {
postId: { type: 'string' },
action: { enum: ['APPROVE', 'FLAG', 'ESCALATE', 'REMOVE'] },
reason: { type: 'string', maxLength: 500 },
maskedContent: { type: 'string' }
}
}
}
}
};
const validateModerationPayload = ajv.compile(moderationSchema);
function validatePayload(payload: unknown): boolean {
const valid = validateModerationPayload(payload);
if (!valid && validateModerationPayload.errors) {
throw new Error(`Schema validation failed: ${JSON.stringify(validateModerationPayload.errors)}`);
}
return valid;
}
Step 4: Atomic POST Submission with Retry Logic
Moderation actions are submitted atomically. The service implements exponential backoff for 429 rate limit responses and surfaces 4xx/5xx errors with contextual details.
interface ModerationPayload {
queueId: string;
actions: Array<{
postId: string;
action: 'APPROVE' | 'FLAG' | 'ESCALATE' | 'REMOVE';
reason: string;
maskedContent: string;
}>;
}
interface ModerationResponse {
requestId: string;
processedCount: number;
failedCount: number;
}
async function submitModeration(
apiClient: AxiosInstance,
token: string,
payload: ModerationPayload,
maxRetries = 3
): Promise<ModerationResponse> {
let attempt = 0;
while (attempt < maxRetries) {
try {
const response = await apiClient.post('/moderation/actions', payload, {
headers: { Authorization: `Bearer ${token}` }
});
return response.data;
} catch (error: any) {
if (error.response?.status === 429) {
const retryAfter = error.response.headers['retry-after'] || Math.pow(2, attempt);
console.warn(`Rate limited (429). Retrying in ${retryAfter}s...`);
await new Promise(res => setTimeout(res, retryAfter * 1000));
attempt++;
continue;
}
if (error.response?.status >= 400) {
throw new Error(`Moderation submission failed (${error.response.status}): ${error.response.data?.message || error.message}`);
}
throw error;
}
}
throw new Error('Max retries exceeded for moderation submission');
}
HTTP Request Cycle
POST /api/v2/social/moderation/actions HTTP/1.1
Host: acme.api.cxone.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Content-Type: application/json
{
"queueId": "sentiment_neg_01",
"actions": [
{
"postId": "post_8f3a2c",
"action": "FLAG",
"reason": "Medium toxicity requires review",
"maskedContent": "This product is completely unacceptable and poorly made"
}
]
}
HTTP/1.1 200 OK
Content-Type: application/json
{
"requestId": "req_99a8b7c6",
"processedCount": 1,
"failedCount": 0
}
Step 5: Language Detection, Policy Compliance, and Callback Sync
The service filters posts by supported languages and verifies policy compliance before routing. Completed moderation batches trigger callbacks to external compliance dashboards.
const SUPPORTED_LANGUAGES = ['en', 'es', 'fr', 'de', 'pt'];
function validateLanguageAndPolicy(item: QueueItem): boolean {
if (!SUPPORTED_LANGUAGES.includes(item.language)) {
console.warn(`Unsupported language ${item.language} for post ${item.id}. Skipping.`);
return false;
}
if (item.content.length > 2000) {
console.warn(`Content exceeds policy length limit for post ${item.id}. Skipping.`);
return false;
}
return true;
}
async function syncComplianceCallback(webhookUrl: string, batchId: string, status: 'SUCCESS' | 'PARTIAL' | 'FAILED', auditLog: string): Promise<void> {
await axios.post(webhookUrl, {
batchId,
status,
timestamp: new Date().toISOString(),
auditLog
}, {
headers: { 'Content-Type': 'application/json' },
timeout: 5000
});
}
Step 6: Latency Tracking, Success Rates, and Audit Logging
The service tracks processing latency, calculates queue clearance success rates, and generates structured audit logs for content governance.
interface ProcessingMetrics {
startTime: number;
endTime: number;
totalProcessed: number;
totalFailed: number;
latencyMs: number;
successRate: number;
}
function calculateMetrics(metrics: ProcessingMetrics): void {
metrics.endTime = Date.now();
metrics.latencyMs = metrics.endTime - metrics.startTime;
metrics.successRate = metrics.totalProcessed > 0
? ((metrics.totalProcessed - metrics.totalFailed) / metrics.totalProcessed) * 100
: 0;
console.log(`Moderation batch completed. Latency: ${metrics.latencyMs}ms. Success Rate: ${metrics.successRate.toFixed(2)}%`);
}
interface AuditEntry {
timestamp: string;
queueId: string;
postId: string;
action: string;
toxicityScore: number;
masked: boolean;
status: 'SUBMITTED' | 'FAILED';
}
function generateAuditLog(queueId: string, item: QueueItem, action: string, status: 'SUBMITTED' | 'FAILED'): AuditEntry {
return {
timestamp: new Date().toISOString(),
queueId,
postId: item.id,
action,
toxicityScore: item.toxicityScore,
masked: true,
status
};
}
Complete Working Example
import axios, { AxiosInstance } from 'axios';
import Ajv from 'ajv';
// [Include AuthManager class from Authentication Setup]
// [Include fetchQueuePage, applyKeywordMasking, determineEscalation, validatePayload, submitModeration, validateLanguageAndPolicy, syncComplianceCallback, calculateMetrics, generateAuditLog from Implementation]
async function runQueueModerator(
orgId: string,
clientId: string,
clientSecret: string,
queueId: string,
complianceUrl: string,
thresholds: ToxicityThresholds
): Promise<void> {
const auth = new AuthManager(orgId, clientId, clientSecret);
const token = await auth.getToken();
const apiClient = auth.getApiClient();
const metrics: ProcessingMetrics = {
startTime: Date.now(),
endTime: 0,
totalProcessed: 0,
totalFailed: 0,
latencyMs: 0,
successRate: 0
};
let pageToken: string | undefined;
const auditLogs: AuditEntry[] = [];
do {
const { items, nextPageToken } = await fetchQueuePage(apiClient, token, queueId, pageToken);
pageToken = nextPageToken;
const batchPayload: ModerationPayload = { queueId, actions: [] };
for (const item of items) {
if (!validateLanguageAndPolicy(item)) continue;
const maskedContent = applyKeywordMasking(item.content);
const directive = determineEscalation(item.toxicityScore, thresholds);
batchPayload.actions.push({
postId: item.id,
action: directive.action,
reason: directive.reason,
maskedContent
});
metrics.totalProcessed++;
}
if (batchPayload.actions.length > 0) {
try {
validatePayload(batchPayload);
const result = await submitModeration(apiClient, token, batchPayload);
for (const action of batchPayload.actions) {
const item = items.find(i => i.id === action.postId);
if (item) {
auditLogs.push(generateAuditLog(queueId, item, action.action, 'SUBMITTED'));
}
}
await syncComplianceCallback(
complianceUrl,
`batch_${Date.now()}`,
result.failedCount === 0 ? 'SUCCESS' : 'PARTIAL',
JSON.stringify(auditLogs.slice(-5))
);
} catch (error: any) {
metrics.totalFailed += batchPayload.actions.length;
await syncComplianceCallback(complianceUrl, `batch_${Date.now()}`, 'FAILED', error.message);
console.error('Batch submission failed:', error.message);
}
}
} while (pageToken);
calculateMetrics(metrics);
}
// Execution entry point
(async () => {
const ORG_ID = process.env.CXONE_ORG_ID || 'acme';
const CLIENT_ID = process.env.CXONE_CLIENT_ID || 'client_123';
const CLIENT_SECRET = process.env.CXONE_CLIENT_SECRET || 'secret_456';
const QUEUE_ID = process.env.CXONE_QUEUE_ID || 'sentiment_neg_01';
const WEBHOOK_URL = process.env.COMPLIANCE_WEBHOOK_URL || 'https://compliance.example.com/webhook';
const thresholds: ToxicityThresholds = { low: 0.3, medium: 0.6, high: 0.85 };
await runQueueModerator(ORG_ID, CLIENT_ID, CLIENT_SECRET, QUEUE_ID, WEBHOOK_URL, thresholds);
})();
Common Errors & Debugging
Error: 401 Unauthorized
- Cause: Expired OAuth token, invalid client credentials, or missing
Authorizationheader. - Fix: Verify
CXONE_CLIENT_IDandCXONE_CLIENT_SECRETmatch the CXone OAuth client. Ensure theAuthManagertoken cache checksexpiresAtcorrectly. The code implements automatic refresh before expiry. - Code Fix: The
getToken()method already handles expiry. If 401 persists, rotate credentials in the CXone admin portal and update environment variables.
Error: 403 Forbidden
- Cause: OAuth client lacks
social:moderatescope, or the queue ID does not belong to the authenticated org. - Fix: Confirm the client credentials grant includes
social:read social:write social:moderate. Verify thequeueIdmatches an active sentiment queue in your CXone instance. - Code Fix: Update the
scopeparameter inAuthManager.getToken()to include all three scopes.
Error: 429 Too Many Requests
- Cause: Exceeding CXone API rate limits during high-volume queue processing.
- Fix: The
submitModerationfunction implements exponential backoff. Ensureretry-afterheaders are respected. Reduce batch size if cascading 429s occur. - Code Fix: The retry loop in
submitModerationreadsretry-afterheaders and appliesMath.pow(2, attempt)fallback. AdjustmaxRetriesif network latency is high.
Error: 400 Bad Request (Schema or Batch Limit)
- Cause: Payload exceeds maximum review batch limits, missing required fields, or invalid action enum values.
- Fix: The AJV schema enforces
maxItems: 50and validates required properties. VerifyqueueIdis a string andactionsarray matches the exact structure. - Code Fix: Review
validatePayloadoutput. The AJV errors array provides exact field paths that failed validation. Adjust batch construction logic to split arrays exceeding 50 items.