AgentXM

Mode VC LLM Token Economics & Model Release Velocity

mcp remote · streamable-http · v2.0.2 · source: crawl

https://modevc.com/api/mcp/llm-economics

https://github.com/harrybuild/modevc-ai-charts-mcp

Query empirical frontier LLM release velocity, inference token deflation, and enterprise AI spend.

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Works

100

Verified Oct 31, 2026 · p50 264 ms · p95 275 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 'com.modevc/llm-economics'
tools_listed15pass4 tools
schema_complete15pass4 of 4 tools have a description and a typed schema
latency_p5010passp50 264 ms
latency_p955passp95 275 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 (4)

NameDescriptionSchema
get_venture_chart_of_the_dayReturns the most recent charts from Mode VC's Chart of the Day archive (one new chart per day, mostly AI model, adoption, developer-package and pricing data), newest first, each with its claim, takeawtyped
search_chartsSearches every chart in the Mode VC Chart of the Day archive by keyword over title, claim, takeaway and keywords. Returns claims, takeaways, canonical URLs, markdown endpoints and cited sources. The atyped
get_chart_dataReturns one chart from the Chart of the Day archive: the data table behind it (rows as published), claim, takeaway, note and the sources it cites. Look up by slug or title. Data is as published on thetyped
calc_llm_inference_costEstimates monthly LLM spend, cost per user and per request, prompt-cache savings and gross margin for a usage profile on one of 8 models, compares all 8 models, and prices an 80/20 hybrid of DeepSeek typed

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