Fantesty
PRODUCT

One platform.
Every load test you'll ever run.

From a single recorded flow to elastic load across regions, with an AI copilot watching every percentile.

01VISUAL FLOW EDITOR

Author scenarios in a node graph.

Drag HTTP, gRPC, WebSocket, MQTT, and full browser steps onto the canvas. Branch on response data. Inject think-time. Record from a real session and let AI scaffold the assertions.

  • HAR / cURL / Postman / OpenAPI import
  • Per-step retries, timeouts, jitter
  • Live preview with mock data
  • Versioned in Git, PR-reviewable
4 nodes · 6 edges
02DISTRIBUTED LOAD ENGINE

From 100 VU to 5,000,000 VU. No infra to manage.

Geo-distributed across 18 regions with edge-warm runners. Spike, ramp, soak, or chaos shapes. Cold-starts under 2 seconds, billed by the VU-minute.

  • 18 PoPs · AWS / GCP / Cloudflare
  • Soak runs up to 72h with auto-checkpointing
  • Custom load shapes via JS or YAML
  • BYO runners on-prem (k6 + Playwright)
Active runners
us-east
82ms
us-west
94ms
eu-west
103ms
ap-south
188ms
ap-east
167ms
sa-east
142ms
03AI COPILOT

The bottleneck finds itself.

Trained on 14M historical runs. Detects regressions in real time, traces them to the offending commit, drafts the post-mortem, and suggests the smallest fix that holds the SLO.

  • Real-time anomaly detection (P50/P95/P99)
  • Run-over-run regression diffs
  • Root-cause linked to PR + file
  • Auto-drafted post-mortems
AI · ANALYSIS
P95 on /checkout regressed +38ms after VU crossed 4,200. DB pool at 94% — read replicas saturated.
SUGGESTED FIX
- maxOpenConns: 80
+ maxOpenConns: 120
PR #482db.go+ 1 line
04OBSERVABILITY

Dashboards that match your SLOs, not someone else's.

Build views from latency histograms, error budgets, throughput curves, and custom k6 metrics. Pin baselines. Block PRs that regress percentiles.

  • Custom dashboards with shareable links
  • Datadog / New Relic / Grafana export
  • PagerDuty / Slack / GitHub Actions hooks
  • Headless API for CI
Throughput
18.4k
P95
216 ms
Status codes · 30m
INTEGRATIONS

Plays with the stack you already have.

GitHub
Block PRs that regress P95
GitLab
Pipeline gates
Datadog
Stream metrics + traces
New Relic
Forward run telemetry
Grafana
Native data source
PagerDuty
Anomaly → incident
Slack
Run summary in #qa
Jira
Auto-file regression tickets
Linear
Ship-blocker triage
Vercel
Preview-deploy smoke runs
k6
Drag-drop import
Playwright
Browser flows out of box
5,000,000
peak concurrent VU
18
edge regions
<2s
cold-start time
72h
max soak duration
10ms
metric resolution
180d
default retention
SOC 2
Type II audited
ISO 27001
certified 2025