API Monitoring

    API
    Monitoring

    Go beyond simple uptime. Validate response bodies, headers, and status codes. Convert cURL commands into monitoring checks instantly.

    API Monitoring dashboard preview

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    What is API monitoring?

    API monitoring is the structured cousin of uptime monitoring: instead of just checking that a URL returns HTTP 200, it validates that an API endpoint returns the expected JSON shape, status code, headers, and response time. A modern API monitor runs assertion chains against REST endpoints, verifies authentication tokens still work, measures end-to-end latency from multiple regions, and catches the silent failures — schema drift, expired credentials, partial outages on a single backend — that traditional uptime checks miss.

    API monitoring matters because most user-facing applications now depend on dozens of internal and third-party APIs; a single broken endpoint can degrade the entire product without ever returning a 5xx status. Effective API monitoring runs continuously, alerts on assertion failures rather than just transport errors, feeds latency percentiles into SLO tracking, and supports multi-step workflows so business-critical flows like authentication, payment, and search are validated end-to-end on every check.

    Key Features

    Everything you need for API Monitoring.

    HTTP Method Support

    Monitor GET, POST, PUT, PATCH, DELETE endpoints. Send custom request bodies and validate responses automatically.

    Response Body Assertions

    Verify your API returns the correct data — not just a 200 status. Assert on JSON fields, strings, and patterns.

    Authentication Support

    Built-in support for Bearer tokens, Basic auth, API keys, and custom headers for authenticated endpoint monitoring.

    cURL-to-Check Converter

    Paste any cURL command and instantly create a complex API check. No manual configuration needed.

    Multi-Step API Checks

    Chain multiple API calls together to test complex workflows like login → create → verify → delete.

    Latency Tracking

    Track response times with percentile breakdowns (p50, p95, p99). Set SLA thresholds and alert on degradation.

    Real-time REST & GraphQL Performance Tracking with Instant Alerts

    API Monitoring keeps your services fast, correct, and reliable around the clock. Xitoring continuously probes REST and GraphQL endpoints from 15+ global locations, validates response bodies and status codes against the assertions you defined, captures latency at p50, p95, and p99 percentiles, and alerts your team the moment a check fails — with the full request and response captured for fast triage. Whether you're protecting a high-traffic payment flow, a partner-facing public API, or a fragile chain of internal microservices, every endpoint that matters gets a continuously running contract test. No agents, no SDKs, no code changes — just paste a cURL command and the check is live in seconds.

    • No Coding or agent installation
    • Setup in less than 3 minutes
    • Performance metering
    • Integrated Uptime reports
    • Latency triggers and alerting
    • Global coverage
    • Config for Request: HTTP authentication, custom headers, payload
    • Config for Response: HTTP code, header, body, latency
    • +15 Notification Channels
    REST API endpoint monitoring dashboard
    GraphQL query performance tracking
    API alerting and notification channels
    Global API monitoring coverage map

    Who it's for

    API Monitoring Use Cases

    See how teams across industries use Xitoring to keep their infrastructure reliable.

    E-Commerce & Payments

    Monitor every step of the purchase path — cart creation, checkout, payment gateway calls, fulfillment webhooks, and inventory-sync endpoints — with multi-step API checks that exercise the real flow rather than isolated URLs. Detect failed transactions, broken Stripe or PayPal integrations, and stuck order-status webhooks before they show up in revenue dashboards.

    FinTech & Banking

    Track transaction APIs, account-balance endpoints, KYC and identity-verification services, and statement-generation jobs against contractual SLAs. Validate that responses still match the schema your auditors signed off on, and alert on latency regressions before they breach the response-time commitments in your compliance posture.

    SaaS Platforms

    Monitor the public API you sell to your customers as if you were one of them. Validate OAuth and API-key authentication flows end-to-end, exercise rate-limit headers, track webhook delivery reliability and signature correctness across every integration partner, and surface degradations on per-region dashboards before your support inbox does.

    Mobile App Backends

    Ensure your mobile app's REST or GraphQL backend stays responsive. Detect slow endpoints that cause loading spinners and user churn.

    Healthcare & IoT

    Monitor patient data APIs, device telemetry endpoints, and real-time sensor data streams. Ensure uptime for mission-critical health systems.

    Microservices & CI/CD

    Validate inter-service communication across microservice boundaries, monitor API-gateway routing and authentication policies, and run smoke checks against staging and production health endpoints after every deploy. Catch contract regressions and accidentally-shipped breaking changes before they fan out into cascading internal failures.

    01

    Why API Monitoring Matters

    APIs are the backbone of modern applications. A single broken endpoint can cascade into widespread failures across your product, third-party integrations, and customer experience — often silently.

    • Catch broken endpoints before users hit errors
    • Validate response data, not just status codes
    • Detect latency degradation before SLA breaches
    • Monitor complex multi-step API workflows end-to-end
    Why API Monitoring Matters
    02

    Xitoring's API Dashboard

    Deep visibility into every API endpoint. Track response times with percentile breakdowns, validate JSON responses, convert cURL commands into checks instantly, and monitor from 15+ global locations.

    • Endpoint list with HTTP method badges and response times
    • Latency percentile charts (p50, p95, p99)
    • Built-in JSON response validator
    • One-click cURL-to-check converter
    Xitoring's API Dashboard

    Additional Capabilities

    Custom Headers & Cookies

    Send custom HTTP headers, cookies, and user-agent strings with every request for realistic API testing.

    GraphQL Support

    Monitor GraphQL endpoints with custom queries and variable injection. Validate response shapes and error fields.

    Global Endpoint Testing

    Test your API from 15+ global locations simultaneously to measure regional latency and availability differences.

    Frequently asked questions

    Common questions about API Monitoring.

    What HTTP methods are supported?
    Xitoring supports the full HTTP method set used by modern APIs — GET, POST, PUT, PATCH, DELETE, HEAD, and OPTIONS — so you can monitor both read endpoints and state-mutating ones (create, update, delete) end-to-end. Every check can carry a custom request body in any content type (JSON, form-encoded, multipart, XML, raw text), arbitrary HTTP headers, query-string parameters, and authentication tokens. That means you can monitor not only the surface of your API but also the side-effect-heavy operations your customers actually depend on, like “create order” or “issue refund.”
    Can I validate JSON response bodies?
    Yes. Xitoring's response-body assertions go well beyond status-code matching. You can target specific JSON fields by JSONPath (`data.user.email`), assert on nested objects and arrays, compare numeric values with operators (`>=`, `<`, `between`), match strings against exact values or regular expressions, and assert that an array contains at least N items. Each check can carry multiple assertions, and any single failure marks the check as failed — which means you'll catch schema drift, partial outages on one of your backends, and silent data-quality regressions that a 200-status check would happily miss.
    How does the cURL-to-Check converter work?
    Paste any `curl` command — the one in your API docs, the one your dev team just used to reproduce a bug, the one your monitoring vendor refused to import — and Xitoring parses it into a fully configured API check. The converter extracts the HTTP method, full URL, query parameters, all `-H` headers, request body from `-d`/`--data`/`--data-raw`, basic and bearer auth flags, and even `--cookie` jars. You get a ready-to-run check in under five seconds without manually filling out a form. It's the fastest path from “my API just broke once in production” to “my API is now monitored continuously.”
    Can I chain multiple API calls together?
    Yes. Multi-step API checks let you exercise an entire workflow on every probe — for example: log in to receive a bearer token, create a resource using that token, fetch the resource by ID to verify it persisted, then delete it for cleanup. Variables can be extracted from one step's response (a token, a user ID, a session cookie) and injected into subsequent steps, so dynamic flows just work. This is how you monitor what your users actually do, not just isolated endpoints. If any step fails — wrong status, failed assertion, latency budget exceeded — the whole check fails and the alert payload tells you exactly which step broke.
    Is GraphQL monitoring supported?
    Yes. Submit any GraphQL query or mutation with the variables it needs, and Xitoring assertions can validate the shape of the `data` payload, the value of any nested field, and — importantly — the presence or absence of an `errors` array. That last point matters: a GraphQL endpoint will frequently return HTTP 200 even when the resolver failed, with the failure reported inside `errors`. Treating an HTTP 200 as “healthy” is a common GraphQL monitoring mistake; asserting that `errors` is empty (or that specific fields are non-null) is how you actually catch broken resolvers.
    How is API latency tracked?
    Every API check records full response time on every run, and Xitoring rolls these up into p50, p95, and p99 percentile breakdowns over your chosen time window. Percentiles, not averages, are the right unit for latency: a 50-ms median hides a 5-second p99 that already cost you the user. You can set SLA-style thresholds against any percentile (e.g., “alert if p95 over the last 15 minutes exceeds 800 ms”) and trend regions independently to spot whether a slowdown is global or limited to one provider, one route, or one continent.
    How often does Xitoring probe each endpoint?
    Check frequency is configurable per check — as fast as every 30 seconds for critical paths, or longer intervals (5 min, 15 min, 1 hour) for less time-sensitive endpoints. Higher frequency catches incidents faster and produces tighter latency distributions; lower frequency reduces request volume against rate-limited third-party APIs and keeps cost predictable. A common production pattern is: 1-minute checks for authentication and checkout, 5-minute checks for internal microservices, 15-minute checks for batch and webhook endpoints.
    How do API monitoring alerts avoid false positives?
    Xitoring fires alerts only after a check fails from multiple probe locations consecutively, which filters out transient network blips, DNS hiccups, and single-region routing issues that aren't really your problem. You also control which condition triggers an alert — status code, response body assertion, latency threshold, or any combination — so a one-off latency spike doesn't page someone if uptime is fine. Each alert payload includes the failing region, the failing assertion, the raw response body, and a timestamp, so the on-call engineer skips the “what broke?” phase entirely.

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