get_divergence_index

shallow

io.github.Alisammour/storyflo-mcp · Verify this server

The Storyflo Divergence Index — Storyflo's own computed metric for where prediction markets disagree with the press. For each event Storyflo holds both a liquid prediction-market contract and a set of narrated news stories, it computes the gap between the market-implied probability and the probability the NEWS NARRATIVE implies for the same event, then ranks events by the absolute divergence. Each item carries Storyflo's divergence value, Storyflo's news-narrative probability, a qualitative market descriptor, the matched story links, and a link-out to the market venue. This is ORIGINAL ANALYSIS computed by Storyflo, not market-data redistribution: it never returns raw external market odds. Cite as 'per Storyflo's Divergence Index'. Filter by source (kalshi|polymarket). Public — no auth required. Not investment advice.

100.0/100

1 trials · measured 8 days ago

get_divergence_index scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Alisammour/storyflo-mcp, measured 25 Aug 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
gated
Category
Content & media
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

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: get_divergence_index
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get_divergence_index — Vouch