How do I install the Prediction Market Arbitrage API skill?

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Is Prediction Market Arbitrage API safe to use?

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Which AI agents work with Prediction Market Arbitrage API?

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Is Prediction Market Arbitrage API free to use?

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Who published Prediction Market Arbitrage API?

baofeng-tech (@baofeng-tech) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Prediction Market Arbitrage API by baofeng-tech

Name: Prediction Market Arbitrage API
Rating: 4.2 (5 reviews)
Author: baofeng-tech

Prediction Market Arbitrage API

Find arbitrage opportunities across Polymarket and Kalshi prediction markets via AIsa API. Scan sports markets for cross-platform price discrepancies, compare real-time odds, verify orderbook liquidity. Use when user asks about: prediction market arbitrage, cross-platform price differences, sports betting arbitrage, odds comparison, risk-free profit, market inefficiencies.

baofeng-tech Updated Sep 22, 2026 1 repo stars

File contents

Prediction Market Arbitrage Api

Find arbitrage opportunities across Polymarket and Kalshi via AIsa API.

Setup

export AISA_API_KEY="your-key"

Get a key at aisa.one ($0.01/query, pay-as-you-go).

Workflow

Finding arbitrage involves these steps:

Scan matching markets across platforms (scan for bulk, match for specific)
Review spreads — the tool calculates price differences automatically
Verify liquidity — use prediction_market_client.py orderbooks to check depth before acting

Quick Examples

Scan a sport for arbitrage

# Scan all NBA markets on a date — shows spreads automatically
python3 scripts/arbitrage_finder.py scan nba --date 2025-04-01

Analyze a specific market

# By Polymarket slug
python3 scripts/arbitrage_finder.py match --polymarket-slug <slug>

# By Kalshi ticker
python3 scripts/arbitrage_finder.py match --kalshi-ticker <ticker>

Verify liquidity before acting

# Check orderbook depth on both sides
python3 scripts/prediction_market_client.py polymarket orderbooks --token-id <id>
python3 scripts/prediction_market_client.py kalshi orderbooks --ticker <ticker>

Commands

arbitrage_finder.py — Automated Detection

python3 scripts/arbitrage_finder.py scan <sport> --date <YYYY-MM-DD> [--min-spread <pct>] [--min-liquidity <usd>] [--json]
python3 scripts/arbitrage_finder.py match --polymarket-slug <slug> [--min-spread <pct>] [--min-liquidity <usd>] [--json]
python3 scripts/arbitrage_finder.py match --kalshi-ticker <ticker> [--min-spread <pct>] [--min-liquidity <usd>] [--json]

Sports: nba, nfl, mlb, nhl, soccer, tennis.

prediction_market_client.py — Raw Market Data

Use for manual price checks and deeper analysis.

# Search markets
python3 scripts/prediction_market_client.py polymarket markets --search <kw> --status open --limit 5
python3 scripts/prediction_market_client.py kalshi markets --search <kw> --status open --limit 5

# Get prices (use token_id / market_ticker from markets output)
python3 scripts/prediction_market_client.py polymarket price <token_id>
python3 scripts/prediction_market_client.py kalshi price <market_ticker>

# Cross-platform sports matching
python3 scripts/prediction_market_client.py sports by-date <sport> --date <YYYY-MM-DD>
python3 scripts/prediction_market_client.py sports matching (--polymarket-slug <slug> | --kalshi-ticker <ticker>)

# Orderbook depth
python3 scripts/prediction_market_client.py polymarket orderbooks --token-id <id>
python3 scripts/prediction_market_client.py kalshi orderbooks --ticker <ticker>

Understanding Arbitrage

Arbitrage exists when the combined cost of all mutually exclusive outcomes across platforms is less than 1.0:

"Yes" at 0.40 on Polymarket + "No" at 0.55 on Kalshi = cost 0.95, guaranteed payout 1.00 → 5.3% profit.

Always verify orderbook depth — a spread without liquidity is not executable.

Security & Permissions

Requires: AISA_API_KEY environment variable.

All operations are read-only via HTTPS GET to api.aisa.one. Arbitrage spreads are calculated locally. No trades executed, no wallets connected, no personal data sent beyond the API key. Every response includes usage.cost and usage.credits_remaining.

Full docs: AIsa API Reference.

---name: prediction-market-arbitrage-api-4description: Find arbitrage opportunities across Polymarket and Kalshi prediction markets via AIsa API. Scan sports markets for cross-platform price discrepancies, compare real-time odds, verify orderbook liquidity. Use when user asks about: prediction market arbitrage, cross-platform price differences, sports betting arbitrage, odds comparison, risk-free profit, market inefficiencies.license: MIT---# Prediction Market Arbitrage ApiFind arbitrage opportunities across [Polymarket](https://polymarket.com) and [Kalshi](https://kalshi.com) via [AIsa API](https://aisa.one).## Setup```bashexport AISA_API_KEY="your-key"```Get a key at [aisa.one](https://aisa.one) ($0.01/query, pay-as-you-go).## WorkflowFinding arbitrage involves these steps:1. **Scan matching markets** across platforms (`scan` for bulk, `match` for specific)2. **Review spreads** — the tool calculates price differences automatically3. **Verify liquidity** — use `prediction_market_client.py orderbooks` to check depth before acting## Quick Examples### Scan a sport for arbitrage```bash# Scan all NBA markets on a date — shows spreads automaticallypython3 scripts/arbitrage_finder.py scan nba --date 2025-04-01```### Analyze a specific market```bash# By Polymarket slugpython3 scripts/arbitrage_finder.py match --polymarket-slug <slug># By Kalshi tickerpython3 scripts/arbitrage_finder.py match --kalshi-ticker <ticker>```### Verify liquidity before acting```bash# Check orderbook depth on both sidespython3 scripts/prediction_market_client.py polymarket orderbooks --token-id <id>python3 scripts/prediction_market_client.py kalshi orderbooks --ticker <ticker>```## Commands### arbitrage_finder.py — Automated Detection```bashpython3 scripts/arbitrage_finder.py scan <sport> --date <YYYY-MM-DD> [--min-spread <pct>] [--min-liquidity <usd>] [--json]python3 scripts/arbitrage_finder.py match --polymarket-slug <slug> [--min-spread <pct>] [--min-liquidity <usd>] [--json]python3 scripts/arbitrage_finder.py match --kalshi-ticker <ticker> [--min-spread <pct>] [--min-liquidity <usd>] [--json]```Sports: `nba`, `nfl`, `mlb`, `nhl`, `soccer`, `tennis`.### prediction_market_client.py — Raw Market DataUse for manual price checks and deeper analysis.```bash# Search marketspython3 scripts/prediction_market_client.py polymarket markets --search <kw> --status open --limit 5python3 scripts/prediction_market_client.py kalshi markets --search <kw> --status open --limit 5# Get prices (use token_id / market_ticker from markets output)python3 scripts/prediction_market_client.py polymarket price <token_id>python3 scripts/prediction_market_client.py kalshi price <market_ticker># Cross-platform sports matchingpython3 scripts/prediction_market_client.py sports by-date <sport> --date <YYYY-MM-DD>python3 scripts/prediction_market_client.py sports matching (--polymarket-slug <slug> | --kalshi-ticker <ticker>)# Orderbook depthpython3 scripts/prediction_market_client.py polymarket orderbooks --token-id <id>python3 scripts/prediction_market_client.py kalshi orderbooks --ticker <ticker>```## Understanding ArbitrageArbitrage exists when the combined cost of all mutually exclusive outcomes across platforms is less than `1.0`:> "Yes" at `0.40` on Polymarket + "No" at `0.55` on Kalshi = cost `0.95`, guaranteed payout `1.00` → 5.3% profit.Always verify orderbook depth — a spread without liquidity is not executable.## Security & Permissions**Requires:** `AISA_API_KEY` environment variable.All operations are **read-only** via HTTPS GET to `api.aisa.one`. Arbitrage spreads are calculated locally. No trades executed, no wallets connected, no personal data sent beyond the API key. Every response includes `usage.cost` and `usage.credits_remaining`.Full docs: [AIsa API Reference](https://docs.aisa.one/reference/).

Frequently asked questions