Coming Soon

Error Rate Anomalies

Get notified when error rates spike, drop, or exhibit unusual patterns compared to baseline behavior.

• -Detect sudden error rate increases (2% → 30%)
• -Identify new error types that haven't appeared before
• -Track error rate by endpoint or request type
• -Compare error patterns across time windows

Latency Degradation

Surface when upstream APIs slow down or response times exceed expected thresholds.

• -Alert on p95 latency increases
• -Detect gradual performance degradation
• -Track TTFB and transfer time separately
• -Compare latency before and after deploys

Traffic Pattern Changes

Know when request volume, frequency, or distribution shifts unexpectedly.

• -Detect traffic spikes or drops
• -Identify new endpoints being called
• -Surface changes in request method distribution
• -Alert on retry storms or looping behavior

Authentication & Rate Limit Warnings

Get notified about auth failures and approaching rate limits before they become critical.

• -Track 401/403 error trends
• -Monitor rate limit header values
• -Alert when approaching vendor quotas
• -Detect token expiration patterns

Response Shape Changes

Know when upstream APIs return different structures, missing fields, or unexpected data types.

• -Detect new or removed fields in responses
• -Identify type changes (string → null)
• -Surface unexpected response formats
• -Alert on breaking API changes from vendors

Traffic Diffs (Change Detection)

Compare two time windows or segments to answer: what changed since the last time this worked?

• -Surface new or missing paths
• -Identify latency regressions
• -Spot error rate changes
• -Detect response size shifts

Request Grouping / Fingerprinting

Automatically group similar requests to reduce noise and identify patterns at scale.

• -Identify repeated failures vs one-offs
• -See which kind of request dominates traffic
• -Understand spammy or looping behavior
• -Especially valuable for agents and retries

Advanced Traffic Analysis

Segment traffic by explicit rules and get summaries for each segment.

• -Top paths per segment
• -Latency distribution (p50 / p95)
• -Response size trends
• -Error rate breakdown

Saved Response Replay

Replay captured requests using saved responses - no API call is made. Deterministic, zero side effects, and safe by default.

• -Replay history without touching the upstream
• -Test application logic with real captured responses
• -Debug issues that are hard to reproduce
• -Share reproducible scenarios with teammates

Shows you what already happened, again. Fully deterministic.

Error Taxonomy & Clustering

Group failures by type, not just status code. Users don't think in status codes.

• -Auth failures
• -Validation errors
• -Vendor rate limits
• -Timeouts and connection issues

Deterministic rules, not AI. Transparent classification.

Header & Field Frequency Analysis

See which headers or fields appear most often, are missing intermittently, or change values unexpectedly.

• -Auth headers missing 5% of the time
• -A specific header only present on failures
• -Payload field suddenly null
• -Surfaces subtle bugs without inspecting every request

Request Shape Change Detection

Detect when request structure changes - new fields added, fields removed, type changes.

• -Catches accidental breaking changes
• -Especially valuable for agents that construct payloads dynamically
• -Observes and reports only
• -Never blocks or enforces

Time-Correlated Views

Slice traffic around a specific moment - a deploy, agent version change, or config update.

• -Compare behavior before vs after a moment
• -More intuitive than arbitrary time ranges
• -Pairs naturally with annotations and diffs
• -Purely visual and analytical - no automation

Dependency Health Snapshot

A compact summary for one upstream API when you open a toran.

• -Request volume
• -Error rate
• -Latency trend
• -Payload size trend

Answers 'is this API behaving normally?' - not monitoring, just a snapshot.

Safe Upstream Replay

Manually re-send a captured request upstream to validate vendor fixes or reproduce failures.

• -Validate vendor fixes
• -Reproduce flaky or auth-related failures
• -Test edge cases without re-running the whole system
• -Explicit, manual, and auditable

High impact when needed. Must remain explicit and manual to preserve trust.

Request Annotations & Tags

Add notes to requests, segments, or time ranges to capture context.

• -Mark deploys and incidents
• -Note agent versions
• -Document vendor outages
• -Especially valuable for teams

Evidence Bundles

Package requests, diffs, and annotations into a shareable artifact for support tickets or incident reviews.

• -Export context for vendor support
• -Share exact behavior with teammates
• -Document incidents for postmortems
• -Preserve debugging context