Optimizing NICE CXone Outbound Call Pacing with TypeScript
What You Will Build
- A serverless TypeScript function that dynamically adjusts outbound campaign dial rates based on real-time agent availability and answer rates.
- Uses the NICE CXone Analytics, Outbound Campaign, and Agent REST APIs.
- Implemented in modern TypeScript with native fetch, async/await, sliding window calculations, and Fibonacci backoff retry logic.
Prerequisites
- OAuth Client Credentials flow configured in NICE CXone with scopes:
analytics:read,outbound:campaign:read,outbound:campaign:write,agent:read - Node.js 18+ (native fetch support)
- TypeScript 5+
@types/node,dotenv- AWS Lambda, Vercel, or Cloudflare Workers runtime compatible with Node.js 18+
Authentication Setup
NICE CXone uses OAuth 2.0 Client Credentials flow. The token expires after one hour. The following client manages token caching and automatic refresh to prevent 401 errors during long-running serverless invocations.
import { createRequire } from "module";
const require = createRequire(import.meta.url);
const dotenv = require("dotenv");
dotenv.config();
interface OAuthToken {
access_token: string;
token_type: string;
expires_in: number;
scope: string;
}
interface TokenState {
token: OAuthToken | null;
expiresAt: number;
}
class CxoneAuthClient {
private tokenState: TokenState = { token: null, expiresAt: 0 };
private readonly site: string;
private readonly clientId: string;
private readonly clientSecret: string;
constructor(site: string, clientId: string, clientSecret: string) {
this.site = site.replace("https://", "").replace("http://", "");
this.clientId = clientId;
this.clientSecret = clientSecret;
}
async getAccessToken(): Promise<string> {
const now = Date.now();
if (this.tokenState.token && now < this.tokenState.expiresAt - 60000) {
return this.tokenState.token.access_token;
}
const response = await fetch(`https://${this.site}/oauth/token`, {
method: "POST",
headers: { "Content-Type": "application/x-www-form-urlencoded" },
body: new URLSearchParams({
grant_type: "client_credentials",
client_id: this.clientId,
client_secret: this.clientSecret,
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`OAuth token fetch failed (${response.status}): ${errorText}`);
}
const data: OAuthToken = await response.json();
this.tokenState = {
token: data,
expiresAt: now + data.expires_in * 1000,
};
return data.access_token;
}
}
Implementation
Step 1: Poll Campaign Metrics
The Analytics API returns real-time outbound campaign statistics. You must construct a query payload with select, where, and interval fields. The endpoint supports pagination via the page parameter.
OAuth Scope: analytics:read
HTTP Request Example:
POST /api/analytics/outbound/details/query HTTP/1.1
Host: {site}.cxone.com
Authorization: Bearer {access_token}
Content-Type: application/json
{
"select": ["campaignId", "totalCallsDialed", "totalCallsAnswered", "answerRate"],
"where": "campaignId = '{campaignId}'",
"interval": "PT30S",
"pageSize": 1,
"page": 1
}
Expected Response:
{
"response": [
{
"campaignId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"totalCallsDialed": 145,
"totalCallsAnswered": 112,
"answerRate": 0.7724
}
],
"pageSize": 1,
"page": 1,
"totalElements": 1
}
interface CampaignMetric {
campaignId: string;
totalCallsDialed: number;
totalCallsAnswered: number;
answerRate: number;
}
async function fetchCampaignMetrics(
auth: CxoneAuthClient,
campaignId: string
): Promise<CampaignMetric> {
const token = await auth.getAccessToken();
const site = auth.constructor.name === "CxoneAuthClient" ? "" : ""; // Extracted from env in full example
// In production, pass site explicitly or extract from auth class
const queryPayload = {
select: ["campaignId", "totalCallsDialed", "totalCallsAnswered", "answerRate"],
where: `campaignId = '${campaignId}'`,
interval: "PT30S",
pageSize: 1,
page: 1
};
const response = await fetch(`https://${process.env.CXONE_SITE}/api/analytics/outbound/details/query`, {
method: "POST",
headers: {
"Authorization": `Bearer ${token}`,
"Content-Type": "application/json",
"Accept": "application/json"
},
body: JSON.stringify(queryPayload)
});
if (response.status === 429) {
throw new Error("RATE_LIMIT_EXCEEDED");
}
if (!response.ok) {
const err = await response.text();
throw new Error(`Analytics fetch failed (${response.status}): ${err}`);
}
const data = await response.json();
if (!data.response || data.response.length === 0) {
throw new Error("No metrics returned for campaign");
}
return data.response[0];
}
Step 2: Calculate Real-Time Agent Availability Using a Sliding Window
Agent availability fluctuates rapidly. A sliding window algorithm smooths out transient spikes by averaging availability over the last N polling intervals. This prevents dial rate whiplash.
OAuth Scope: agent:read
interface AvailabilityRecord {
timestamp: number;
availableAgents: number;
}
class AvailabilitySlidingWindow {
private window: AvailabilityRecord[] = [];
private readonly maxSize: number;
constructor(maxSize: number = 6) {
this.maxSize = maxSize; // 6 intervals * 30s = 3 minutes
}
async update(site: string, auth: CxoneAuthClient): Promise<number> {
const token = await auth.getAccessToken();
const response = await fetch(`https://${site}/api/v2/agents?state=available`, {
headers: { "Authorization": `Bearer ${token}` }
});
if (response.status === 429) throw new Error("RATE_LIMIT_EXCEEDED");
if (!response.ok) throw new Error(`Agent fetch failed: ${response.status}`);
const agents = await response.json();
const count = agents.length || 0;
this.window.push({ timestamp: Date.now(), availableAgents: count });
if (this.window.length > this.maxSize) {
this.window.shift();
}
const sum = this.window.reduce((acc, rec) => acc + rec.availableAgents, 0);
return sum / this.window.length;
}
}
Step 3: Adjust Dial Rates Via the Campaign API with Delta Updates and Fibonacci Backoff
The Campaign API accepts partial updates via PATCH. You only send the dialRate field to minimize payload size and reduce merge conflicts. The retry wrapper implements a Fibonacci sequence for 429 responses.
OAuth Scope: outbound:campaign:write
HTTP Request Example:
PATCH /api/v2/outbound/campaigns/a1b2c3d4-e5f6-7890-abcd-ef1234567890 HTTP/1.1
Host: {site}.cxone.com
Authorization: Bearer {access_token}
Content-Type: application/json
If-Match: "*"
{
"dialRate": 42
}
const FIBONACCI_SEQUENCE = [1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89];
async function retryWithFibonacci<T>(
fn: () => Promise<T>,
maxRetries: number = 5
): Promise<T> {
let attempt = 0;
while (true) {
try {
return await fn();
} catch (error: any) {
if (error.message !== "RATE_LIMIT_EXCEEDED" || attempt >= maxRetries) {
throw error;
}
const waitSeconds = FIBONACCI_SEQUENCE[attempt] || FIBONACCI_SEQUENCE[FIBONACCI_SEQUENCE.length - 1];
console.log(`429 detected. Waiting ${waitSeconds}s before retry ${attempt + 1}/${maxRetries}`);
await new Promise(res => setTimeout(res, waitSeconds * 1000));
attempt++;
}
}
}
async function adjustDialRate(
site: string,
auth: CxoneAuthClient,
campaignId: string,
newDialRate: number
): Promise<void> {
const token = await auth.getAccessToken();
await retryWithFibonacci(async () => {
const response = await fetch(`https://${site}/api/v2/outbound/campaigns/${campaignId}`, {
method: "PATCH",
headers: {
"Authorization": `Bearer ${token}`,
"Content-Type": "application/json",
"If-Match": "*"
},
body: JSON.stringify({ dialRate: newDialRate })
});
if (response.status === 429) throw new Error("RATE_LIMIT_EXCEEDED");
if (!response.ok) {
const err = await response.text();
throw new Error(`Dial rate update failed (${response.status}): ${err}`);
}
});
}
Step 4: Track Answer Rate Deviations Against SLA Thresholds and Export to Data Warehouse
The pacing controller compares the current answerRate against a configured SLA threshold. Deviations beyond a tolerance margin trigger export records to an external data warehouse endpoint. This enables downstream BI tools to audit pacing decisions.
OAuth Scope: None required for external POST, but uses internal state.
interface PacingExportRecord {
timestamp: string;
campaignId: string;
previousDialRate: number;
newDialRate: number;
currentAnswerRate: number;
slaThreshold: number;
deviation: number;
agentAvailabilityAvg: number;
}
async function exportToDataWarehouse(
dwEndpoint: string,
record: PacingExportRecord
): Promise<void> {
const response = await fetch(dwEndpoint, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(record)
});
if (!response.ok) {
const err = await response.text();
console.error(`DW export failed (${response.status}): ${err}`);
}
}
Complete Working Example
The following module orchestrates the 30-second polling loop, integrates all components, and handles graceful shutdown.
import { createRequire } from "module";
const require = createRequire(import.meta.url);
const dotenv = require("dotenv");
dotenv.config();
// --- Reuse classes from previous steps ---
// (CxoneAuthClient, fetchCampaignMetrics, AvailabilitySlidingWindow,
// retryWithFibonacci, adjustDialRate, exportToDataWarehouse, PacingExportRecord)
interface PacingConfig {
campaignId: string;
slaThreshold: number;
toleranceMargin: number;
minDialRate: number;
maxDialRate: number;
dwEndpoint: string;
}
async function runPacingController(config: PacingConfig) {
const auth = new CxoneAuthClient(
process.env.CXONE_SITE!,
process.env.CXONE_CLIENT_ID!,
process.env.CXONE_CLIENT_SECRET!
);
const window = new AvailabilitySlidingWindow(6);
let currentDialRate = 0;
const site = process.env.CXONE_SITE!;
console.log("Starting outbound pacing controller...");
while (true) {
try {
// 1. Poll metrics
const metrics = await fetchCampaignMetrics(auth, config.campaignId);
// 2. Calculate availability
const avgAvailability = await window.update(site, auth);
// 3. Calculate target dial rate based on availability and answer rate
const targetRate = Math.floor(avgAvailability * 0.85); // 85% capacity utilization
const clampedRate = Math.max(config.minDialRate, Math.min(config.maxDialRate, targetRate));
// 4. Check SLA deviation
const deviation = metrics.answerRate - config.slaThreshold;
const shouldAdjust = Math.abs(deviation) > config.toleranceMargin || clampedRate !== currentDialRate;
if (shouldAdjust) {
const exportRecord: PacingExportRecord = {
timestamp: new Date().toISOString(),
campaignId: config.campaignId,
previousDialRate: currentDialRate,
newDialRate: clampedRate,
currentAnswerRate: metrics.answerRate,
slaThreshold: config.slaThreshold,
deviation: deviation,
agentAvailabilityAvg: avgAvailability
};
console.log(`Adjusting dial rate: ${currentDialRate} -> ${clampedRate} | Answer Rate: ${(metrics.answerRate * 100).toFixed(2)}%`);
// 5. Apply delta update with Fibonacci backoff
await adjustDialRate(site, auth, config.campaignId, clampedRate);
currentDialRate = clampedRate;
// 6. Export to DW
await exportToDataWarehouse(config.dwEndpoint, exportRecord);
} else {
console.log("Pacing stable. No adjustment required.");
}
} catch (error: any) {
console.error(`Pacing loop error: ${error.message}`);
// Continue loop on error to prevent function termination
}
// 30-second interval
await new Promise(resolve => setTimeout(resolve, 30000));
}
}
// Serverless entry point
export const handler = async () => {
const config: PacingConfig = {
campaignId: process.env.CAMPAIGN_ID!,
slaThreshold: parseFloat(process.env.SLA_THRESHOLD || "0.75"),
toleranceMargin: parseFloat(process.env.TOLERANCE_MARGIN || "0.05"),
minDialRate: parseInt(process.env.MIN_DIAL_RATE || "10"),
maxDialRate: parseInt(process.env.MAX_DIAL_RATE || "100"),
dwEndpoint: process.env.DW_ENDPOINT!
};
await runPacingController(config);
};
// Run locally for testing
if (process.argv[1] === import.meta.url) {
handler();
}
Common Errors & Debugging
Error: 401 Unauthorized
- Cause: OAuth token expired or client credentials are incorrect.
- Fix: Verify
CXONE_CLIENT_IDandCXONE_CLIENT_SECRETin environment variables. Ensure the token manager refreshes before expiration. The providedCxoneAuthClientrefreshes 60 seconds before expiry. - Code Fix: Check
auth.getAccessToken()response. Log the exact error message returned from/oauth/token.
Error: 403 Forbidden
- Cause: Missing OAuth scopes or insufficient permissions on the outbound campaign.
- Fix: Add
outbound:campaign:writeandanalytics:readto the OAuth client scopes in NICE CXone. Verify the service account has access to the target campaign. - Code Fix: Inspect the
response.headersforWWW-Authenticateor check the response body for scope denial messages.
Error: 429 Too Many Requests
- Cause: API rate limits exceeded due to aggressive polling or concurrent deployments.
- Fix: The Fibonacci backoff wrapper in
adjustDialRateautomatically handles this. Ensure the polling interval remains at 30 seconds. Do not reduce it below 15 seconds for analytics queries. - Code Fix: Monitor console logs for
429 detected. Waiting Xs before retry. If retries exhaust, increasemaxRetriesinretryWithFibonacci.
Error: 400 Bad Request on PATCH
- Cause: Invalid
dialRatevalue or malformed JSON payload. - Fix: Ensure
dialRateis an integer betweenminDialRateandmaxDialRate. VerifyIf-Match: *header is present for optimistic concurrency. - Code Fix: Log the raw request body before sending. Validate against CXone schema constraints.