Five popular API monitoring platforms compared on what teams actually evaluate: check frequency, multi-step request flows, free tier, alerting integrations, and cost at meaningful scale.
| Capability | LoadFocus | Pingdom | UptimeRobot | Datadog | New Relic |
|---|---|---|---|---|---|
| Minimum check frequency | 30 seconds | 60 seconds | 60 seconds (1 min) | 30 seconds | 30 seconds |
| Multi-step / chained API flows | Yes — login + token + call | Transaction add-on | No | Yes (Synthetic API) | Yes (Synthetic monitor) |
| Free tier with API checks | Yes — 5 checks free | Trial only | 50 monitors / 5 min | Trial only | Free up to 100 GB ingest |
| Global check locations | 26+ AWS regions | 100+ | 13 | 20+ | 20+ |
| Alert integrations (Slack, PagerDuty, webhook) | Yes — all three | Yes | Yes | Yes | Yes |
| Pricing for 50 endpoints @ 1-min checks | From £19/mo | From $79/mo | From $7/mo (limited) | From $5/check/mo | Usage-based |
Uptime alone misses degraded performance. These four metrics tell you whether your APIs are actually healthy — not just reachable.
Time the slowest 5% of requests take. Averages hide the long tail; p95 exposes it. A p95 over 500 ms on a payment API means real users are waiting longer than they tolerate — and not all are coming back.
How long the API takes to send the first byte after the request hits. Catches DNS, TLS, and server-processing slowdowns separately from network transfer time. Spikes here usually point at the origin, not the client network.
Percentage of synthetic checks that pass (correct status code + response shape + within latency budget). Drops below 99% on a production API are an alertable incident, not a curiosity.
Synthetic checks tell you the API is up; RUM tells you whether real customers experienced the same. Pair both — synthetic alerts you to outages, RUM tells you the customer impact.
Production APIs that drive revenue or block other systems: every 30–60 seconds. Internal or low-criticality APIs: every 5 minutes is enough. Below 30 seconds adds cost without catching meaningfully more outages.
Uptime monitoring just checks if the endpoint responds. API monitoring also validates status codes, response body shape, latency budgets, and chained workflows (login → token → call). API monitoring catches the silent breakages uptime monitoring misses.
Yes — LoadFocus supports headers, OAuth bearer tokens, and chained requests where one step's response (a token) becomes the next step's auth. No need to expose a service account password in plain config.
Within one check interval. With 30-second checks and Slack/PagerDuty alerts, your on-call gets paged in under a minute. Configure alert thresholds to require 2 consecutive failures to suppress single-region transients.
Yes — GraphQL is just a POST with a JSON body, fully supported. gRPC requires a small adapter (gRPC-Web or curl over h2) — most teams wrap it in a thin REST proxy purely for monitoring.
LoadFocus pricing scales with endpoints × frequency. 50 endpoints at 1-minute checks runs ~£19/month. 500 endpoints at 30-second checks is roughly £180/month — roughly half what Pingdom or Datadog charge for equivalent coverage.
