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DABYTE AI Visibility Index

mcp remote · streamable-http · v1.0.1 · source: crawl

https://dabyte.ai/mcp

https://github.com/creanlab/ai-visibility-index

Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.

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Works

100

Verified Oct 31, 2026 · p50 371 ms · p95 379 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'dabyte-ai-visibility'
tools_listed15pass5 tools
schema_complete15pass5 of 5 tools have a description and a typed schema
latency_p5010passp50 371 ms
latency_p955passp95 379 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (5)

NameDescriptionSchema
get_visibility_indexThe whole current release in one call: every tracked brand in SaaS & AI tools with its rank, share of answer overall and per engine, commercial intent and quadrant. Share of answer is the percentage otyped
get_brand_visibilityOne brand's standing in the current DABYTE release: share of answer per engine, rank, quadrant, how many panel prompts name it, and which ones. Use this when a specific brand is named. Takes a slug, typed
list_tracked_brandsThe names and slugs of every brand in the DABYTE index — a lookup table, nothing else. No scores, no ranks. Use it for two things: to turn a brand name into the slug get_brand_visibility needs, and ttyped
get_historyEvery DABYTE release ever published, as a series per brand: share of answer at each weekly measurement with the date and panel version it was taken under. Use this for any question about change — is typed
get_methodologyThe rules behind every figure this server returns: the exact prompt panel and its version, which engines were measured, how share of answer is scored and rounded, the resolution of the scale in percentyped

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