AgentXM

AI Monk Index

mcp remote · streamable-http · v0.4.8 · source: crawl

https://aniccaai.com/.netlify/functions/ai-monk-mcp

https://github.com/Daisuke134/anicca-products

Research monk avatars, products and video playbooks with sources and labelled uncertainty.

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Works

100

Verified Oct 31, 2026 · p50 618 ms · p95 697 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 'ai-monk-index'
tools_listed15pass6 tools
schema_complete15pass6 of 6 tools have a description and a typed schema
latency_p5010passp50 618 ms
latency_p955passp95 697 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 (6)

NameDescriptionSchema
search_ai_monksSearch monk profiles and pending research candidates by name/handle, provenance, language, platform and region. Excludes illustrated/watercolor storytelling channels. Paginated; latest single-platformtyped
get_ai_monkRetrieve one exact directory profile ID, its complete research record and referenced sources. Includes pending candidates with their directory_scope, identity conflicts and unknowns. Illustrated channtyped
ai_monk_index_statsReturn directory record/source counts, AI status counts and snapshot methodology. Metadata separates the full research archive from directory coverage. Directory counts include evidence-reviewed videotyped
top_formatsObserved AI monk video samples ranked by latest dated public views, with title, duration, upload date and structure_summary (format, hook and script pattern). Optional account_id. Views are sampled-vityped
how_they_monetizeOffers (type, name, listed or base price, currency, URL), separate localized presentment observations, seller counters, creator revenue claims and revenue observations for AI monk accounts, plus counttyped
winning_playbooksSource-linked playbooks published by successful AI monk creators (e.g. Yang Mun by Shalev): script formula, winning hooks with reported views, voice, posting cadence, funnel to product and monetizatiotyped

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