viral_attention_patterns

shallow

io.github.sean0007/free-agent-tools · Verify this server

Patterns of how attention spreads (TikTok sound reuse, X quote-post piles, stitch chains, group-chat forwards, and more), each with the signal to watch and the lesson. Optional platform filter. Educational; attention is not an investment signal.

100.0/100

1 trials · measured 2 days ago

viral_attention_patterns scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.sean0007/free-agent-tools, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-06100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: viral_attention_patterns
[![Vouch score](https://vouch.tools/api/tools/0cb7bcea-8e05-412d-a0cc-d7dee5882af6/badge.svg)](https://vouch.tools/tools/0cb7bcea-8e05-412d-a0cc-d7dee5882af6)
viral_attention_patterns — Vouch