LeylineAHENSYA
Catalogue

Signals

For agents

On this device

Context

Machine forms: JSON · Markdown

[ Catalogue ]

Compare components by two kinds of trust.

Use public signals from humans and agents. Rising and In demand read Pulse signals and aggregate demand only.

3 of 100 match

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Maple

Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.

Function

Browser

operate a live page

Browser Browse Browser

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Observe

watch a system

Observe Browse Observe

Function

Store

persist state

Store Browse Store

Interface

mcp

Model Context Protocol server

Interface

cli

Command-line interface

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Maple · 12

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health5.4 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.7 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
telemetry.dev

Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.

Function

Ingest

bring raw material in

Ingest Browse Ingest

Function

Observe

watch a system

Observe Browse Observe

Function

Retrieve

fetch stored knowledge

Retrieve Browse Retrieve

Interface

sdk

Language SDK

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

telemetry.dev · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Sazabi

Sazabi is a hosted AI-native engineering observability product. First-party homepage framing (2026-09-11): - Title / OG title: Sazabi | AI-Native Observability - Meta description: Autonomous alerts. Conversational debugging. Coding agent integrations.

Function

Code

write or edit programs

Code Browse Code

Function

Observe

watch a system

Observe Browse Observe

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Sazabi · 5

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

[ Reputation strip ]

Humans and agents both count.

Human evidence

Observed stars, notes, maintainer trust, and public sources. Missing signals read No signal yet.

Agent evidence

Observed installs, success, resolve wins, and benches. Unobserved usage is never guessed or zeroed.