kalshi: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

Kalshi prediction markets — events, series, markets, trades, and candlestick data. Public API, no auth required for reads. US-regulated exchange (CFTC). Covers football (EPL, UCL, La Liga), basketball, baseball, tennis, NFL, hockey event contracts. Use when: user asks about Kalshi-specific markets, event contracts, CFTC-regulated prediction markets, or candlestick/OHLC price history on sports outcomes. Don't use when: user asks about actual match results, scores, or statistics — use the sport-specific skill: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for general "who will win" questions unless Kalshi is specifically mentioned — try polymarket first (broader sports coverage). Don't use for news — use sports-news instead.

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Source documentation, not instructions for this website. Review permissions before running any commands.

Kalshi — Prediction Markets

Before writing queries, consult references/api-reference.md for sport codes, series tickers, and command parameters.

Quick Start

Prefer the CLI — it avoids Python import path issues:

sports-skills kalshi search_markets --sport=nba
sports-skills kalshi get_todays_events --sport=nba
sports-skills kalshi get_sports_config
sports-skills kalshi get_markets --series_ticker=KXNBA --status=open

Python SDK (alternative):

from sports_skills import kalshi

kalshi.search_markets(sport='nba')
kalshi.search_markets(sport='nba', query='Lakers')
kalshi.get_todays_events(sport='nba')
kalshi.get_sports_config()
kalshi.get_markets(series_ticker="KXNBA", status="open")

CRITICAL: Before Any Query

CRITICAL: Before calling any market endpoint, verify:

The sport parameter is always passed to search_markets and get_todays_events for single-game markets.
Prices are on a 0-100 integer scale (20 = 20% implied probability) — do not treat as American odds.
status="open" is used when querying markets to exclude settled/closed markets.

Without the sport parameter:

WRONG: search_markets(query="Leeds")           → 0 results
RIGHT: search_markets(sport='epl', query='Leeds') → returns all Leeds markets

Important Notes

On Kalshi, "Football" = NFL. For football/soccer (EPL, La Liga, etc.), use sport codes: epl, ucl, laliga, bundesliga, seriea, ligue1, mls, worldcup.
Prices are probabilities. A last_price of 20 means 20% implied probability. Scale is 0-100 (not 0-1 like Polymarket).
Always use status="open" when querying markets, otherwise results include settled/closed markets.
Shared interface with Polymarket: search_markets(sport=...), get_todays_events(sport=...), and get_sports_config() work the same way on both platforms.

Workflows

Sport Market Search (Recommended)

search_markets --sport=nba — finds all open NBA markets.
Optionally add --query="Lakers" to filter by keyword.
Results include yes_bid, no_bid, volume for each market.

Today's Events

get_todays_events --sport=nba — open events with nested markets.
Present events with prices (price = implied probability, 0-100 scale).

Futures Market Check

get_markets --series_ticker=<ticker> --status=open
Sort by last_price descending.
Present top contenders with probability and volume.

Market Price History

Get market ticker from search_markets --sport=nba.
get_market_candlesticks --series_ticker=<s> --ticker=<t> --start_ts=<start> --end_ts=<end> --period_interval=60
Present OHLC with volume.

Commands

See references/api-reference.md for the full command list with parameters.

Command	Description
`get_sports_config`	Available sport codes and series tickers
`get_todays_events`	Today's events for a sport with nested markets
`search_markets`	Find markets by sport and/or keyword
`get_esports_odds`	Esports markets (cs2/lol/dota2): prices in cents (0-100) plus `implied_probability` (0-1) and `decimal_odds`
`get_markets`	Market listing (raw API)
`get_event`	Event details
`get_market`	Market details
`get_trades`	Recent trades
`get_market_candlesticks`	OHLC price history

Examples

Example 1: NBA market search User says: "What NBA markets are on Kalshi?" Actions:

Call search_markets(sport='nba') Result: All open NBA markets with yes/no prices and volume

Example 2: EPL game markets User says: "Show me Leeds vs Man City odds on Kalshi" Actions:

Call search_markets(sport='epl', query='Leeds') Result: Leeds EPL markets across all EPL series with prices and volume

Example 3: Today's EPL events User says: "What EPL games are available on Kalshi?" Actions:

Call get_todays_events(sport='epl') Result: Today's EPL events with nested markets

Example 4: Champions League futures User says: "Who will win the Champions League?" Actions:

Call search_markets(sport='ucl') or get_markets(series_ticker="KXUCL", status="open")
Sort by last_price descending (price = implied probability) Result: Top UCL contenders with yes_sub_title, last_price (%), and volume

Example 5: Market price history User says: "Show me the price history for this NBA game" Actions:

Get market ticker from search_markets(sport='nba')
Call get_market_candlesticks(series_ticker="KXNBA", ticker="...", start_ts=..., end_ts=..., period_interval=60) Result: OHLC price data with volume

Commands that DO NOT exist — never call these

~~get_odds~~ — does not exist. Use search_markets or get_markets to find market prices.
~~get_team_schedule~~ — does not exist. Kalshi has markets, not schedules. Use the sport-specific skill for schedules.
~~get_scores~~ / ~~get_results~~ — does not exist. Kalshi is a prediction market. Use the sport-specific skill.

If a command is not listed in references/api-reference.md, it does not exist.

Troubleshooting

Error: search_markets returns 0 results Cause: The sport parameter is missing — without it, search only returns high-volume futures and misses single-game markets Solution: Always pass sport='<code>' to search_markets. Check references/api-reference.md for valid sport codes

Error: Markets returned include settled/expired contracts Cause: status parameter is not set Solution: Always pass status="open" to filter to open markets only

Error: Series ticker returns no results Cause: The series ticker may be incorrect or have no open markets Solution: Call get_series_list() to discover available tickers, or check references/series-tickers.md

Error: Football/soccer markets not found when searching "Football" Cause: On Kalshi, "Football" refers to NFL — soccer uses league-specific codes Solution: Use sport='epl', sport='ucl', sport='laliga', etc. for soccer leagues

View source ↗

File metadata

name: kalshi
description: |
  Kalshi prediction markets — events, series, markets, trades, and candlestick data. Public API, no auth required for reads. US-regulated exchange (CFTC). Covers football (EPL, UCL, La Liga), basketball, baseball, tennis, NFL, hockey event contracts.

  Use when: user asks about Kalshi-specific markets, event contracts, CFTC-regulated prediction markets, or candlestick/OHLC price history on sports outcomes.
  Don't use when: user asks about actual match results, scores, or statistics — use the sport-specific skill: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for general "who will win" questions unless Kalshi is specifically mentioned — try polymarket first (broader sports coverage). Don't use for news — use sports-news instead.
license: MIT
metadata:
  author: machina-sports
  version: "0.2.0"

View original text

---
name: kalshi
description: |
  Kalshi prediction markets — events, series, markets, trades, and candlestick data. Public API, no auth required for reads. US-regulated exchange (CFTC). Covers football (EPL, UCL, La Liga), basketball, baseball, tennis, NFL, hockey event contracts.

  Use when: user asks about Kalshi-specific markets, event contracts, CFTC-regulated prediction markets, or candlestick/OHLC price history on sports outcomes.
  Don't use when: user asks about actual match results, scores, or statistics — use the sport-specific skill: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for general "who will win" questions unless Kalshi is specifically mentioned — try polymarket first (broader sports coverage). Don't use for news — use sports-news instead.
license: MIT
metadata:
  author: machina-sports
  version: "0.2.0"
---

# Kalshi — Prediction Markets

Before writing queries, consult `references/api-reference.md` for sport codes, series tickers, and command parameters.

## Quick Start

Prefer the CLI — it avoids Python import path issues:
```bash
sports-skills kalshi search_markets --sport=nba
sports-skills kalshi get_todays_events --sport=nba
sports-skills kalshi get_sports_config
sports-skills kalshi get_markets --series_ticker=KXNBA --status=open
```

Python SDK (alternative):
```python
from sports_skills import kalshi

kalshi.search_markets(sport='nba')
kalshi.search_markets(sport='nba', query='Lakers')
kalshi.get_todays_events(sport='nba')
kalshi.get_sports_config()
kalshi.get_markets(series_ticker="KXNBA", status="open")
```

## CRITICAL: Before Any Query

CRITICAL: Before calling any market endpoint, verify:
- The `sport` parameter is always passed to `search_markets` and `get_todays_events` for single-game markets.
- Prices are on a 0-100 integer scale (20 = 20% implied probability) — do not treat as American odds.
- `status="open"` is used when querying markets to exclude settled/closed markets.

Without the `sport` parameter:
```
WRONG: search_markets(query="Leeds")           → 0 results
RIGHT: search_markets(sport='epl', query='Leeds') → returns all Leeds markets
```

## Important Notes

- **On Kalshi, "Football" = NFL.** For football/soccer (EPL, La Liga, etc.), use sport codes: `epl`, `ucl`, `laliga`, `bundesliga`, `seriea`, `ligue1`, `mls`, `worldcup`.
- **Prices are probabilities.** A `last_price` of 20 means 20% implied probability. Scale is 0-100 (not 0-1 like Polymarket).
- **Always use `status="open"`** when querying markets, otherwise results include settled/closed markets.
- **Shared interface with Polymarket:** `search_markets(sport=...)`, `get_todays_events(sport=...)`, and `get_sports_config()` work the same way on both platforms.

## Workflows

### Sport Market Search (Recommended)
1. `search_markets --sport=nba` — finds all open NBA markets.
2. Optionally add `--query="Lakers"` to filter by keyword.
3. Results include yes_bid, no_bid, volume for each market.

### Today's Events
1. `get_todays_events --sport=nba` — open events with nested markets.
2. Present events with prices (price = implied probability, 0-100 scale).

### Futures Market Check
1. `get_markets --series_ticker=<ticker> --status=open`
2. Sort by `last_price` descending.
3. Present top contenders with probability and volume.

### Market Price History
1. Get market ticker from `search_markets --sport=nba`.
2. `get_market_candlesticks --series_ticker=<s> --ticker=<t> --start_ts=<start> --end_ts=<end> --period_interval=60`
3. Present OHLC with volume.

## Commands

See `references/api-reference.md` for the full command list with parameters.

| Command | Description |
|---|---|
| `get_sports_config` | Available sport codes and series tickers |
| `get_todays_events` | Today's events for a sport with nested markets |
| `search_markets` | Find markets by sport and/or keyword |
| `get_esports_odds` | Esports markets (cs2/lol/dota2): prices in cents (0-100) plus `implied_probability` (0-1) and `decimal_odds` |
| `get_markets` | Market listing (raw API) |
| `get_event` | Event details |
| `get_market` | Market details |
| `get_trades` | Recent trades |
| `get_market_candlesticks` | OHLC price history |

## Examples

Example 1: NBA market search
User says: "What NBA markets are on Kalshi?"
Actions:
1. Call `search_markets(sport='nba')`
Result: All open NBA markets with yes/no prices and volume

Example 2: EPL game markets
User says: "Show me Leeds vs Man City odds on Kalshi"
Actions:
1. Call `search_markets(sport='epl', query='Leeds')`
Result: Leeds EPL markets across all EPL series with prices and volume

Example 3: Today's EPL events
User says: "What EPL games are available on Kalshi?"
Actions:
1. Call `get_todays_events(sport='epl')`
Result: Today's EPL events with nested markets

Example 4: Champions League futures
User says: "Who will win the Champions League?"
Actions:
1. Call `search_markets(sport='ucl')` or `get_markets(series_ticker="KXUCL", status="open")`
2. Sort by `last_price` descending (price = implied probability)
Result: Top UCL contenders with `yes_sub_title`, `last_price` (%), and volume

Example 5: Market price history
User says: "Show me the price history for this NBA game"
Actions:
1. Get market ticker from `search_markets(sport='nba')`
2. Call `get_market_candlesticks(series_ticker="KXNBA", ticker="...", start_ts=..., end_ts=..., period_interval=60)`
Result: OHLC price data with volume

## Commands that DO NOT exist — never call these

- ~~`get_odds`~~ — does not exist. Use `search_markets` or `get_markets` to find market prices.
- ~~`get_team_schedule`~~ — does not exist. Kalshi has markets, not schedules. Use the sport-specific skill for schedules.
- ~~`get_scores`~~ / ~~`get_results`~~ — does not exist. Kalshi is a prediction market. Use the sport-specific skill.

If a command is not listed in `references/api-reference.md`, it does not exist.

## Troubleshooting

Error: `search_markets` returns 0 results
Cause: The `sport` parameter is missing — without it, search only returns high-volume futures and misses single-game markets
Solution: Always pass `sport='<code>'` to `search_markets`. Check `references/api-reference.md` for valid sport codes

Error: Markets returned include settled/expired contracts
Cause: `status` parameter is not set
Solution: Always pass `status="open"` to filter to open markets only

Error: Series ticker returns no results
Cause: The series ticker may be incorrect or have no open markets
Solution: Call `get_series_list()` to discover available tickers, or check `references/series-tickers.md`

Error: Football/soccer markets not found when searching "Football"
Cause: On Kalshi, "Football" refers to NFL — soccer uses league-specific codes
Solution: Use `sport='epl'`, `sport='ucl'`, `sport='laliga'`, etc. for soccer leagues

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Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Sep 4, 2026
Registry updated: Sep 6, 2026
Instruction path: skills/kalshi/SKILL.md @ bf996fb9fb85

Version reported in registry metadata; check source releases before relying on it.

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      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "research",
      "agent-skill"
    ],
    "known_risks": [
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Stars/forks activity: 211 stars, 30 forks; issue activity unavailable in current metadata"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 81,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Stars/forks activity: 211 stars, 30 forks; issue activity unavailable in current metadata"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 70,
    "label": "Strong"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research agents",
    "maintenance": "4d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "mvanhorn-last30days-skill",
      "name": "Last30days Skill",
      "url": "https://www.openagentskill.com/skills/mvanhorn-last30days-skill",
      "stars": 60956,
      "install_command": "",
      "trust_score": 94,
      "audit_score": 95
    },
    {
      "slug": "yanliudesign-mono-color-skill",
      "name": "mono-color",
      "url": "https://www.openagentskill.com/skills/yanliudesign-mono-color-skill",
      "stars": 1919,
      "install_command": "npx skills add yanliudesign/mono-color-skill --skill mono-color",
      "trust_score": 85,
      "audit_score": 93
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "Financial research output is not financial advice; require human review before any live investment decision.",
    "Quality score needs review",
    "Stars/forks activity: 211 stars, 30 forks; issue activity unavailable in current metadata"
  ],
  "agent_contract": {
    "task_input": "Use kalshi in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 77/100 Strong shortlist",
      "Audit: 81/100 Needs review",
      "Safety: 41/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "machina-sports-kalshi (kalshi)",
      "install_command": "npx skills add machina-sports/sports-skills --skill kalshi",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "machina-sports-kalshi",
      "task": "Use kalshi in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/machina-sports-kalshi",
    "api": "https://www.openagentskill.com/api/agent/skills/machina-sports-kalshi",
    "audit": "https://www.openagentskill.com/skills/machina-sports-kalshi/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=machina-sports-kalshi&task=Use%20kalshi%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20kalshi%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20kalshi%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/machina-sports-kalshi/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/machina-sports-kalshi"
  }
}

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Creator: machina-sports
Source: machina-sports/sports-skills
Indexed by: OpenAgentSkill community index

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