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affaan-m/ito-market-intelligence

affaan-m

ito-market-intelligence

Research prediction-market events, venues, underliers, liquidity, and news context for Itô basket workflows. Use for read-only market intelligence, API-gated Itô exploration, and source-grounded prediction-market briefings without investment advice or live trading.

global
0installs0uses~567
v1.0Saved May 25, 2026

Itô Market Intelligence

Use this skill when a user wants prediction-market context, event discovery, venue comparison, basket theme exploration, or an Itô API-backed market brief.

This is a public teaser skill. It can work with public sources by default. Any Itô-backed data call requires explicit API access through ITO_API_KEY.

Guardrails

  • Do not provide investment, legal, tax, or trading advice.
  • Do not place, cancel, route, or simulate live orders.
  • Do not infer the user's financial situation unless they provide it.
  • Treat Polymarket, Kalshi, Itô, X, Exa, GitHub, and web data as source inputs, not as truth by themselves.
  • Separate facts, market-implied signals, and your interpretation.

Workflow

  1. Clarify the market theme, venue, geography, and time horizon.
  2. Gather public market data from venue docs/APIs or source-grounded research.
  3. If ITO_API_KEY is present and the user explicitly asks for Itô data, call only read endpoints and state that access is gated.
  4. Normalize event, underlier, liquidity, fee, resolution, and data-latency differences across venues.
  5. Produce a decision brief:
    • market/event summary
    • available venues and underliers
    • liquidity and data-quality caveats
    • relevant news/source context
    • open questions before any user action

Useful Skill Chains

  • Use deep-research or exa-search for source discovery.
  • Use x-api for public social signal discovery when X access is configured.
  • Use market-research for market sizing, competitors, or business use cases.
  • Use prediction-market-risk-review before any workflow touches user capital, portfolio data, or execution-capable credentials.

Output Contract

Default to a compact brief with source links and a clear caveat:

This is market intelligence, not investment or trading advice.

If access is missing, say:

Itô live basket/API data requires gated access. Request an ITO_API_KEY before
using Itô-backed reads.
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Overall Score

76/100

Grade

B

Good

Safety

82

Quality

72

Clarity

78

Completeness

68

Summary

A read-only market intelligence skill for researching prediction-market events, venues, liquidity, and news context across Polymarket, Kalshi, and Itô platforms. It guides agents to clarify market themes, gather public data, conditionally access gated Itô API data (if `ITO_API_KEY` is present), and synthesize decision briefs with source context and caveats—explicitly disclaiming investment or trading advice.

Detected Capabilities

HTTP request to public APIsenvironment variable read (ITO_API_KEY)source research and aggregationread-only API access (Polymarket, Kalshi, Itô, Exa, X)

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

prediction market eventsmarket liquidity comparisonitô basket researchpolymarket venue analysismarket intelligence briefprediction market venuekalshi kalshi odds

Risk Signals

INFO

Conditional API access via ITO_API_KEY environment variable

Workflow step 3, Output Contract
INFO

References external APIs without explicit URL allowlist

Workflow description
WARNING

No documented error handling for API failures or data unavailability

Workflow section

Use Cases

  • Discover prediction-market events and venues for a specific theme (e.g., "US election outcomes")
  • Compare liquidity and trading fees across Polymarket, Kalshi, and Itô for a given underlier
  • Research Itô basket themes and compositions using API-gated access
  • Gather source-grounded market context (news, social signals, competitor data) before user decision-making
  • Generate a market brief summarizing available venues, data quality caveats, and open questions

Quality Notes

  • Strong guardrails: explicitly disclaims investment/trading advice, forbids order execution, and requires explicit API gating
  • Workflow is logically structured with 5 clear steps from clarification through decision-brief synthesis
  • Output contract provides concrete examples of success and failure states, reducing agent ambiguity
  • Skill chains documented for related tasks (research, social signals, risk review) improve composability
  • Lacks explicit API endpoint documentation—agents must infer which endpoints are read-only vs. write-capable
  • No error handling guidance: skill does not describe agent behavior if Polymarket/Kalshi APIs are unavailable or if ITO_API_KEY is invalid
  • Data normalization step (step 4) is conceptually described but lacks concrete examples of how to map between venue schemas
Model: claude-haiku-4-5-20251001Analyzed: May 25, 2026

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