Semilattice - audience prediction

Name: Semilattice - audience prediction
Rating: 2.99 (1 reviews)
Author: semilattice

#1728 · by semilattice

agent tool-use multi-step

2.99/ 5.00

cautionBeta

Mar 3, 2026 at 7:21 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

1 of 3 sub-signals with data

Known CVEs100%5.0

No known CVEs

via OSV.dev

Dependency Healthno data—

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Supply Chainno data—

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Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 4 checks

via Health checks

Response Latency25%5.0

p99: 65ms, p50: 19ms

via Health checks

Error Rate20%1.0

25.00% error rate (1/4)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

0 of 4 sub-signals with data

Commit Recencyno data—

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Release Cadenceno data—

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Issue Responseno data—

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CI/CD Presenceno data—

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Downloads, stars, dependents, and growth trajectory

1 of 4 sub-signals with data

Download Volume100%1.0

3 weekly downloads

via npm / PyPI

GitHub Starsno data—

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Dependent Packagesno data—

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Growth Trendno data—

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License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

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Documentationno data—

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Security Policyno data—

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Changelogno data—

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Track record, org maturity, community standing

0 of 4 sub-signals with data

Track Recordno data—

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Org Maturityno data—

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Community Standingno data—

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Cross-Platformno data—

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Limited data available — 3 of 6 signals pending evaluation

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

Test content, personalise features, and A/B test decisions with accurate audience prediction. Semilattice MCP lets agents predict things about your audience. Your agent could predict which email subject line or website copy your audience would prefer. Or it could predict which use cases your audience wants to see in a new product experience. Audience predictions are >87% accurate on average and take <20 seconds to complete.

Package Availability (30d)

100.00%

p50: 19ms · p99: 65ms

Avg Latency

25ms

averaged across 30d health checks

Weekly Downloads

PyPI weekly

Incidents & Alertslast 90 days

Feb 24Semilattice - audience prediction added to Trust Index2.52

Showing 1 of 1 events

Score History4 snapshots