Bulk API Tester
Loading development tool...
Test entire API fleets with reusable suites, live monitoring, and automation hooks.
Loading development tool...
Test entire API fleets with reusable suites, live monitoring, and automation hooks.
Execute hundreds of REST, GraphQL, or gRPC calls in parallel, capture rich observability data, and hand off failing requests to the classic API Tester in a single click.
Concurrent workers
Up to 100
Suite templates
Health • Load • Regression
Alert channels
Slack · PagerDuty · Webhooks
Compose multi-step API suites, manage variables, and execute them with guarded concurrency.
Define each request in the suite. Toggle the checkbox to temporarily skip an item without deleting it.
Use {{VARIABLE_NAME}} syntax across URLs, headers, and bodies. Values are injected before execution.
Track completion, success rate, and latency statistics while the suite runs.
Inspect status codes, durations, and captured errors for every request in the suite.
| Request | Status | Duration | Size | Error |
|---|---|---|---|---|
| Run the suite to see request-by-request results here. | ||||
Bulk API Tester extends the single-request API Tester with tooling for batch execution, performance benchmarking, and production monitoring.
Run orchestrated suites that mix health checks, regression flows, and stress scenarios.
Observe percentile charts, throughput trends, and error taxonomies while a run is live.
Promote saved API Tester calls into reusable suites without rebuilding headers or auth presets.
Use the original API Tester for deep debugging, then graduate stable requests into bulk suites for fleet-wide validation.
Discover→Blend scheduled suites with alert thresholds so platform and SRE teams get notified before SLOs drift.
Everything teams need to move from ad-hoc endpoint checks to disciplined API observability.
Group endpoints by journey, inherit shared variables, and chain dependent requests with response extractions.
Tune worker pools, rate limits, and stop conditions so aggressive tests never overload downstream services.
Compare p50/p90/p99 latency, throughput, and error budgets across environments with exportable reports.
Trigger suites from CI/CD, cron schedules, or webhooks, and stream structured events to monitoring tools.
Purpose-built for cross-functional teams owning API reliability.
Validate new endpoints, monitor SLOs, and reproduce production incidents with controlled replay suites.
Execute regression packs with assertions, data extraction, and rich reporting ready for stakeholders.
Schedule health checks, wire alerts to on-call tooling, and keep live dashboards aligned with SLIs.
Run policy-based checks for TLS, rate limiting, sensitive-data masking, and regulatory controls.
Spin up realistic load tests before launch without standing up bespoke infrastructure.
Templates drawn from the design document cover the most common reliability jobs.
Ping mission-critical endpoints every few hours and alert when success rate or latency slips past your SLO.
Ramp thousands of virtual users, mix weighted scenarios, and study p99 latency before shipping.
Chain multi-step flows such as onboarding or checkout, with response assertions at every touchpoint.
Codify PCI, SOX, or internal policies with suite-wide checks for TLS enforcement, masking, and rate limits.
Schedule lightweight probes every six hours and alert the on-call channel if SLOs are breached.
const healthCheckSuite = {
name: 'API Health Check',
tests: [
{ name: 'User API', url: '{{BASE_URL}}/api/users', method: 'GET' },
{ name: 'Auth API', url: '{{BASE_URL}}/api/auth/verify', method: 'POST' },
{ name: 'Orders API', url: '{{BASE_URL}}/api/orders', method: 'GET' },
{ name: 'Products API', url: '{{BASE_URL}}/api/products', method: 'GET' }
],
schedule: '0 */6 * * *',
alertThreshold: { successRate: 95, maxResponseTime: 2000 }
};typescript
Model peak traffic, verify the service stays within latency targets, and capture retry behaviour.
const loadTestConfig = {
name: 'Login API Load Test',
target: {
url: '{{BASE_URL}}/api/auth/login',
method: 'POST',
body: { email: 'test@example.com', password: 'password123' }
},
load: { users: 100, duration: '5m', rampUp: '30s', iterations: 1000 },
assertions: [
{ type: 'status', value: 200 },
{ type: 'response_time', operator: '<', value: 500 },
{ type: 'success_rate', operator: '>', value: 99 }
]
};typescript
Drag, group, and reuse requests with guardrails for stability and visibility.
Start from health, regression, or custom templates. Nest steps, reuse snippets, and inherit environment presets.
Configure concurrency, batch size, delay, timeout, retry policies, and stop conditions per suite.
Define cron expressions, time zones, and notification rules so reliability checks never get forgotten.
Architecture blocks lifted directly from the technical design notes.
Creates worker pools, batches requests, tracks progress, and aggregates suite-level results.
Semaphores and rate limiting keep tests within safe bounds while updating progress callbacks.
Streams live metrics, derives success/error rates, and triggers alert conditions when thresholds break.
Calculates percentile latency, throughput, error taxonomies, and shares exportable performance reports.
Keeps version history, manages variables, and handles imports from API Tester, Postman, or Insomnia.
Execution, analysis, and operations layers remain decoupled so the system can scale with your traffic.
Stay informed while runs are live and share insights afterwards.
Watch p50/p90/p95/p99 evolve second by second to catch regressions early.
Group failures by transport, timeout, or server error so mitigations are obvious.
Break down automatic retries, fallbacks, and which attempt succeeded.
Capture representative request/response samples for postmortems without logging every call.
UI/UX patterns outlined in the design document are reflected in the production experience.
Follow the proven workflow from the documentation to launch your first suite.
Move faster by reusing the work you have already done.
Select saved requests, keep variables and secrets intact, and convert them into suite steps instantly.
Upload exported collections and workspaces. Bulk API Tester maps folders to suites and preserves tests.
Turn test runs into decisions with structured exports and digests.
Receive a snapshot of latency stats, throughput, and success rate across environments.
Share results as PDF, CSV, JSON, or webhook payloads for downstream automation.
Notify teams when success rate dips, latency spikes, or error categories exceed budgets.
Outcomes reported in the design doc from teams using the Bulk API Tester blueprint.
Scheduled 150+ service checks, cut manual verification from hours to minutes, and surfaced incidents within five minutes.
Modeled launch-day traffic with weighted scenarios, resolved three bottlenecks, and hit 580 RPS at p99 < 1s.
Encoded PCI DSS checks covering TLS, rate limiting, and masking, reducing manual audits and proving controls on demand.
Built to plug into modern delivery pipelines and observability stacks.
Use cron-like scheduling to run suites hourly, nightly, or ahead of peak traffic windows.
Invoke suites from pipelines with signed tokens, git hooks, or CLI scripts and feed results back into build status.
Push success-rate drops or latency spikes to Slack, Teams, PagerDuty, or custom webhooks.
Centralise secrets and per-environment overrides while syncing back to API Tester for deep dives.
Clarifying the relationship with API Tester and the bulk workflow.
Use API Tester to debug a single request with rich inspectors. Bulk API Tester takes those saved calls, runs them in parallel, and adds scheduling, analytics, and alerting.
Up to 100 concurrent workers per suite with guardrails for ramp-up, stop conditions, and rate limits so downstream systems stay safe.
Yes. Upload collections or workspaces and Bulk API Tester converts them into suites, preserving requests, tests, and environment variables.
Absolutely. Configure cron expressions, integrate with CI/CD, or trigger suites through webhooks to keep API health checks hands-free.