Monitor Clay enrichment pipeline health, credit consumption, and data quality metrics. Use when setting up dashboards for Clay operations, configuring alerts for credit burn, or tracking enrichment success rates. Trigger with phrases like "clay monitoring", "clay metrics", "clay observability", "monitor clay", "clay alerts", "clay dashboard", "clay credit tracking".
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Monitor Clay data enrichment pipeline health across four dimensions: credit consumption velocity, enrichment success rates (hit rates), data quality scores, and CRM sync reliability. Clay's credit-based pricing model makes observability essential for cost control.
// src/clay/metrics.ts — collect metrics from enriched data flowing back from Clay
interface ClayMetrics {
enrichmentsReceived: number;
enrichmentsWithEmail: number;
enrichmentsWithCompany: number;
enrichmentsWithPhone: number;
estimatedCreditsUsed: number;
averageICPScore: number;
leadsTier: { A: number; B: number; C: number; D: number };
}
class ClayMetricsCollector {
private metrics: ClayMetrics = {
enrichmentsReceived: 0,
enrichmentsWithEmail: 0,
enrichmentsWithCompany: 0,
enrichmentsWithPhone: 0,
estimatedCreditsUsed: 0,
averageICPScore: 0,
leadsTier: { A: 0, B: 0, C: 0, D: 0 },
};
private scoreSum = 0;
record(lead: Record<string, any>, creditsPerRow: number = 6) {
this.metrics.enrichmentsReceived++;
if (lead.work_email) this.metrics.enrichmentsWithEmail++;
if (lead.company_name) this.metrics.enrichmentsWithCompany++;
if (lead.phone_number) this.metrics.enrichmentsWithPhone++;
this.metrics.estimatedCreditsUsed += creditsPerRow;
const score = lead.icp_score || 0;
this.scoreSum += score;
this.metrics.averageICPScore = this.scoreSum / this.metrics.enrichmentsReceived;
if (score >= 80) this.metrics.leadsTier.A++;
else if (score >= 60) this.metrics.leadsTier.B++;
else if (score >= 40) this.metrics.leadsTier.C++;
else this.metrics.leadsTier.D++;
}
getReport(): string {
const m = this.metrics;
const emailRate = m.enrichmentsReceived > 0
? ((m.enrichmentsWithEmail / m.enrichmentsReceived) * 100).toFixed(1)
: '0';
const companyRate = m.enrichmentsReceived > 0
? ((m.enrichmentsWithCompany / m.enrichmentsReceived) * 100).toFixed(1)
: '0';
return [
`=== Clay Enrichment Report ===`,
`Total processed: ${m.enrichmentsReceived}`,
`Email find rate: ${emailRate}%`,
`Company match rate: ${companyRate}%`,
`Avg ICP score: ${m.averageICPScore.toFixed(1)}`,
`Lead distribution: A=${m.leadsTier.A} B=${m.leadsTier.B} C=${m.leadsTier.C} D=${m.leadsTier.D}`,
`Estimated credits used: ${m.estimatedCreditsUsed}`,
`Cost per email found: ${(m.estimatedCreditsUsed / Math.max(m.enrichmentsWithEmail, 1)).toFixed(1)} credits`,
].join('\n');
}
}// src/clay/prometheus-metrics.ts
import { Counter, Gauge, Histogram } from 'prom-client';
// Counters
const clayEnrichmentsTotal = new Counter({
name: 'clay_enrichments_total',
help: 'Total enrichments received from Clay',
labelNames: ['table', 'status'],
});
const clayCreditsUsed = new Counter({
name: 'clay_credits_used_total',
help: 'Estimated Clay credits consumed',
labelNames: ['table', 'enrichment_type'],
});
// Gauges
const clayHitRate = new Gauge({
name: 'clay_enrichment_hit_rate',
help: 'Enrichment hit rate percentage',
labelNames: ['table', 'field'],
});
const clayCreditBalance = new Gauge({
name: 'clay_credit_balance',
help: 'Remaining Clay credits',
});
const clayICPScore = new Histogram({
name: 'clay_icp_score',
help: 'Distribution of ICP scores',
buckets: [20, 40, 60, 80, 100],
labelNames: ['table'],
});
// Record enrichment
function recordEnrichment(table: string, lead: Record<string, any>) {
clayEnrichmentsTotal.inc({ table, status: lead.work_email ? 'enriched' : 'empty' });
clayCreditsUsed.inc({ table, enrichment_type: 'waterfall' }, 6);
clayICPScore.observe({ table }, lead.icp_score || 0);
}# prometheus/clay-alerts.yml
groups:
- name: clay-enrichment
rules:
- alert: ClayCreditBurnHigh
expr: rate(clay_credits_used_total[1h]) > 200
for: 15m
labels:
severity: warning
annotations:
summary: "Clay credit burn rate > 200/hour. Monthly projection: {{ $value | humanize }} credits"
- alert: ClayLowEmailHitRate
expr: clay_enrichment_hit_rate{field="email"} < 40
for: 30m
labels:
severity: warning
annotations:
summary: "Email find rate below 40% on table {{ $labels.table }}. Check input data quality."
- alert: ClayCreditBalanceLow
expr: clay_credit_balance < 500
labels:
severity: critical
annotations:
summary: "Clay credit balance below 500. Enrichments will stop when credits run out."
- alert: ClayWebhookFailureRate
expr: rate(clay_enrichments_total{status="error"}[15m]) > 0.1
labels:
severity: warning
annotations:
summary: "Clay webhook callback failure rate > 10%"Key panels for a Clay observability dashboard:
dashboard_panels:
row_1:
- name: "Credit Balance"
type: gauge
metric: clay_credit_balance
thresholds: [500, 1000, 5000]
- name: "Credits Used Today"
type: stat
metric: increase(clay_credits_used_total[24h])
- name: "Email Hit Rate"
type: gauge
metric: clay_enrichment_hit_rate{field="email"}
thresholds: [40, 60, 80]
row_2:
- name: "Credit Burn Rate (hourly)"
type: timeseries
metric: rate(clay_credits_used_total[1h])
- name: "ICP Score Distribution"
type: histogram
metric: clay_icp_score
row_3:
- name: "Lead Tier Breakdown"
type: piechart
metric: clay_enrichments_total by (tier)
- name: "Cost per Enriched Lead"
type: stat
metric: clay_credits_used_total / clay_enrichments_total{status="enriched"}// src/clay/daily-report.ts — generate daily enrichment summary
function generateDailyReport(collector: ClayMetricsCollector): void {
console.log(collector.getReport());
// Post to Slack
if (process.env.SLACK_WEBHOOK_URL) {
fetch(process.env.SLACK_WEBHOOK_URL, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
text: `*Daily Clay Enrichment Report*\n\`\`\`\n${collector.getReport()}\n\`\`\``,
}),
}).catch(console.error);
}
}| Issue | Cause | Solution |
|---|---|---|
| Credits depleting fast | High waterfall depth or uncapped tables | Add credit burn alert, reduce waterfall |
| Hit rate near 0% | Invalid input data (personal domains, typos) | Add data quality monitoring, pre-filter |
| Missing metrics | Webhook handler not instrumented | Add metrics collection to callback handler |
| Dashboard shows stale data | Metrics not being pushed | Verify Prometheus scrape config |
For incident response, see clay-incident-runbook.
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