Agent StoreInformation TechnologyAPI Monitoring
Live

API Health Monitoring Agent

Information TechnologyAPI Monitoring

Continuously tests internal and third-party API endpoints for uptime, latency, and contract compliance, alerting teams before consumers notice degradation.

4
Process steps
6
Integrations
3
Data inputs

Modern applications depend on dozens of internal and third-party APIs, and a single degraded or breaking endpoint can cascade into customer-facing failures long before anyone notices without dedicated monitoring

Teams often only learn an API is failing when a downstream consumer files a bug report, by which point the impact has already spread and the debugging trail has gone cold

API contracts change over time as fields get added, deprecated, or renamed, and without active schema validation these breaking changes slip into production undetected until they break an integration

This agent runs continuous synthetic tests against every registered API endpoint, checking not just uptime but response schema and latency against defined SLAs, and alerts the owning team the moment a contract or performance issue appears

The agent executes scheduled synthetic requests against registered API endpoints, validating HTTP status, response latency, and payload schema against a stored contract definition for each endpoint. Deviations such as unexpected status codes, schema drift, or latency breaching SLA thresholds trigger immediate alerts with request/response diffs attached, and results feed a rolling uptime and latency dashboard per API and per consuming application. Breaking schema changes are cross-referenced against recent deployments to identify the likely responsible change.

1

Register and Test Endpoints

  • Maintain a registry of internal and third-party API endpoints
  • Run scheduled synthetic requests at configurable intervals
  • Capture response status, latency, and payload for each test
  • Cover critical user journeys with multi-step transaction tests
Outcome: Continuous, proactive testing coverage across every API the business depends on.
2

Validate Contracts and Performance

  • Compare response payloads against stored schema contracts
  • Detect unexpected fields, type changes, or removed fields
  • Check response latency against defined SLA thresholds
  • Flag intermittent failures and timeout patterns
Outcome: Both functional breakage and performance degradation are caught automatically.
3

Alert and Diagnose

  • Send immediate alerts for failures, schema drift, or SLA breaches
  • Attach request/response diffs to speed up diagnosis
  • Cross-reference failures against recent deployments
  • Identify and notify all downstream consumers of an affected API
Outcome: Teams are alerted with actionable diagnostic context before customers report issues.
4

Report Reliability Trends

  • Track uptime and latency percentiles per API over time
  • Maintain a status dashboard for internal and partner visibility
  • Highlight APIs trending toward SLA breach
  • Summarize incident frequency and mean time to resolution
Outcome: Engineering and partner teams get a trusted, continuously updated view of API reliability.
Postman/Newman
Executes scheduled synthetic API test collections
PagerDuty
Sends critical alerts to on-call API owners
Datadog
Correlates API latency with infrastructure and dependency metrics
GitHub
Cross-references failures against recent deployment commits
Slack
Notifies downstream API consumers of detected issues
Statuspage
Updates public or internal status pages automatically