agiprolabs
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kalshi-api
Kalshi exchange mechanics — RSA-PSS auth, order schema, YES/NO orderbook convention, WebSocket, and endpoint surface. Market-type-agnostic shared layer for all Kalshi skills.
Registry indexed
Kalshi exchange mechanics — RSA-PSS auth, order schema, YES/NO orderbook convention, WebSocket, and endpoint surface. Market-type-agnostic shared layer for all Kalshi skills.
Kalshi exchange mechanics — RSA-PSS auth, order schema, YES/NO orderbook convention, WebSocket, and endpoint surface. Market-type-agnostic shared layer for all Kalshi skills.
Source documentation, not instructions for this website. Review permissions before running any commands.
CFTC-regulated US event exchange. USD-denominated binary contracts settle at $1.00 (YES wins) or $0.00 (NO wins). REST + WebSocket, RSA-PSS authentication on every request.
For contract semantics and settlement rules, see the kalshi-weather-markets and kalshi-crypto-index-markets skills. For strategy, sizing, and backtesting, see prediction-market-strategy.
VERIFY BEFORE CODING. The Kalshi API has broken backward compatibility before: the host changed (old
trading-api.kalshi.com→ dead), and the order schema changed (integer cents → dollar strings). Always smoke-test signing and order bodies against a live response before shipping.Canonical sources:
- API reference: https://docs.kalshi.com (legacy mirror: https://trading-api.readme.io)
- Official Python starter: https://github.com/Kalshi/kalshi-starter-code-python
https://api.elections.kalshi.com/trade-api/v2demo-api.kalshi.co) has a near-empty book; use production even for read-only pullsKALSHI_KEY_ID=<your-key-uuid>
KALSHI_PRIVATE_KEY_PATH=~/.kalshi/private.pem
Generate the key in the Kalshi dashboard. Store secrets in environment variables or a secrets manager — never in code.
pip install httpx cryptography
The host and signature format are where implementations break. Three common failures:
trading-api.kalshi.com host → 401import os, time, base64, httpx
from cryptography.hazmat.primitives import hashes, serialization
from cryptography.hazmat.primitives.asymmetric import padding
BASE = "https://api.elections.kalshi.com/trade-api/v2"
KEY_ID = os.environ["KALSHI_KEY_ID"]
with open(os.environ["KALSHI_PRIVATE_KEY_PATH"], "rb") as f:
PRIV = serialization.load_pem_private_key(f.read(), password=None)
def _headers(method: str, path: str) -> dict:
"""path must include /trade-api/v2 prefix and exclude query string."""
ts = str(int(time.time() * 1000)) # milliseconds
msg = f"{ts}{method}{path}".encode()
sig = PRIV.sign(
msg,
padding.PSS(mgf=padding.MGF1(hashes.SHA256()),
salt_length=padding.PSS.DIGEST_LENGTH),
hashes.SHA256(),
)
return {
"KALSHI-ACCESS-KEY": KEY_ID,
"KALSHI-ACCESS-TIMESTAMP": ts,
"KALSHI-ACCESS-SIGNATURE": base64.b64encode(sig).decode(),
}
def get(path: str, params=None):
# Sign the path only — query goes into params, not the signature
r = httpx.get(BASE + path, params=params,
headers=_headers("GET", "/trade-api/v2" + path))
r.raise_for_status()
return r.json()
def post(path: str, body: dict):
r = httpx.post(BASE + path, json=body,
headers=_headers("POST", "/trade-api/v2" + path))
r.raise_for_status()
return r.json()
# Example: open markets in a series
markets = get("/markets", params={"series_ticker": "KXHIGHNY", "status": "open"})
Signature spec: RSA-PSS, MGF1 over SHA-256, salt length = PSS.DIGEST_LENGTH. String to sign: {timestamp_ms}{METHOD}{path} where path includes /trade-api/v2 and excludes the query string.
Headers: KALSHI-ACCESS-KEY (UUID), KALSHI-ACCESS-TIMESTAMP (ms), KALSHI-ACCESS-SIGNATURE (base64).
# Returns OHLC for yes_bid / yes_ask + volume + open_interest
# Values are dollar strings: {"close": "0.42"}
candles = get(
f"/series/KXHIGHNY/markets/{ticker}/candlesticks",
params={"start_ts": start_epoch, "end_ts": end_epoch, "period_interval": 60},
)
period_interval is in minutes: 1, 60, or 1440.
On Kalshi, yes and no are both resting BID ladders — there is no separate ask book. To take the other side you lift the opposing bid:
no_ask = 1 − best_yes_bid # cost to buy NO right now (lift YES bids)
yes_ask = 1 − best_no_bid # cost to buy YES right now (lift NO bids)
P(YES) mid = (best_yes_bid + (1 − best_no_bid)) / 2
Getting this backwards silently inverts every signal. Use the helpers in scripts/kalshi_orderbook.py.
Orderbook response comes in two variants depending on API tier — normalize before using:
{"orderbook": {"yes": [[price, size], ...], "no": [[price, size], ...]}}
If a price value is > 1.0, it is integer cents — divide by 100.
POST /trade-api/v2/portfolio/orders uses fixed-point dollar STRINGS, not integers. The old schema (integer cents, count, yes_price) returns 400 invalid_parameters.
{
"ticker": "KXHIGHNY-26JUN02-B75.5",
"action": "buy",
"side": "yes",
"count_fp": "1.00",
"yes_price_dollars": "0.01",
"client_order_id": "my-strategy-001",
"time_in_force": "good_till_canceled"
}
Critical field rules — each violation returns 400:
| Field | Rule | Common mistake that 400s |
|---|---|---|
count_fp | fixed-point string "1.00" | integer count: 1 |
{side}_price_dollars | dollar string "0.01" | integer cents yes_price: 1 |
time_in_force | required: good_till_canceled | immediate_or_cancel | fill_or_kill | omitted |
client_order_id | [A-Za-z0-9-] only | . or : in the string — bracket tickers contain ., so never copy the ticker directly |
type | do not send | "type": "limit" |
For the full order lifecycle (amend, decrease, cancel, batch) and strike_type gotchas, see references/auth-and-orders.md.
| Category | Endpoint | Notes |
|---|---|---|
| Balance | GET /portfolio/balance | — |
| Positions | GET /portfolio/positions | — |
| Orders | GET /portfolio/orders | ?status=resting|canceled|executed |
| Place order | POST /portfolio/orders | dollar-string schema above |
| Cancel | DELETE /portfolio/orders/{id} | returns {"order": {...status: "canceled"}} |
| Amend | POST /portfolio/orders/{id}/amend | ticker required in body |
| Decrease | POST /portfolio/orders/{id}/decrease | {"reduce_by_fp": "1.00"} |
| Batch | POST /portfolio/orders/batched | {"orders": [...]} |
| Fills | GET /portfolio/fills | ?limit=N |
| Settlements | GET /portfolio/settlements | ?limit=N |
| Markets | GET /markets | ?series_ticker=&status=open&limit=500 |
| Orderbook | GET /markets/{ticker}/orderbook | ?depth=N |
| Candlesticks | GET /series/{series}/markets/{ticker}/candlesticks | ?start_ts=&end_ts=&period_interval=60 |
| Trades | GET /markets/trades | recent trade prints |
Full endpoint surface, market metadata fields, and rate limits: references/endpoints-and-marketdata.md.
WebSocket discovery pipeline: references/websocket.md.
references/auth-and-orders.md — RSA-PSS spec, dollar-string order schema, time_in_force, client_order_id sanitization, amend/decrease/cancel lifecycle, strike_type gotcha, feesreferences/endpoints-and-marketdata.md — Full endpoint table, orderbook variants, market metadata fields (result, open_time, close_time, series_ticker), candlesticks, rate limitsreferences/websocket.md — WS host, discovery pipeline, channels, signing the WS upgradescripts/kalshi_orderbook.py — YES/NO bid-ladder helpers (no_ask, yes_ask, p_yes_mid, overround, kalshi_fee). Pure stdlib, no keys, runs offline.name: kalshi-api description: Kalshi exchange mechanics — RSA-PSS auth, order schema, YES/NO orderbook convention, WebSocket, and endpoint surface. Market-type-agnostic shared layer for all Kalshi skills.
---
name: kalshi-api
description: Kalshi exchange mechanics — RSA-PSS auth, order schema, YES/NO orderbook convention, WebSocket, and endpoint surface. Market-type-agnostic shared layer for all Kalshi skills.
---
# Kalshi API
CFTC-regulated US event exchange. USD-denominated binary contracts settle at $1.00 (YES wins) or $0.00 (NO wins). REST + WebSocket, RSA-PSS authentication on every request.
For contract semantics and settlement rules, see the `kalshi-weather-markets` and `kalshi-crypto-index-markets` skills. For strategy, sizing, and backtesting, see `prediction-market-strategy`.
---
> **VERIFY BEFORE CODING.**
> The Kalshi API has broken backward compatibility before: the host changed (old `trading-api.kalshi.com` → dead), and the order schema changed (integer cents → dollar strings). Always smoke-test signing and order bodies against a live response before shipping.
>
> Canonical sources:
> - API reference: <https://docs.kalshi.com> (legacy mirror: <https://trading-api.readme.io>)
> - Official Python starter: <https://github.com/Kalshi/kalshi-starter-code-python>
---
## Overview
- **Base URL:** `https://api.elections.kalshi.com/trade-api/v2`
- **Auth:** RSA-PSS on every request — there are no public/unauthenticated endpoints
- **No demo parity:** the demo environment (`demo-api.kalshi.co`) has a near-empty book; use production even for read-only pulls
- **Contracts:** $0.01–$0.99 per contract; pay price if YES wins, lose price if NO wins; max payout = $1.00
---
## Quick Start
### 1. Credentials
```
KALSHI_KEY_ID=<your-key-uuid>
KALSHI_PRIVATE_KEY_PATH=~/.kalshi/private.pem
```
Generate the key in the Kalshi dashboard. Store secrets in environment variables or a secrets manager — never in code.
### 2. Install
```bash
pip install httpx cryptography
```
### 3. Host + auth (the part everyone gets wrong)
The host and signature format are where implementations break. Three common failures:
1. Using the old `trading-api.kalshi.com` host → 401
2. Including the query string in the signed path → 401
3. Signing with seconds instead of milliseconds → 401
```python
import os, time, base64, httpx
from cryptography.hazmat.primitives import hashes, serialization
from cryptography.hazmat.primitives.asymmetric import padding
BASE = "https://api.elections.kalshi.com/trade-api/v2"
KEY_ID = os.environ["KALSHI_KEY_ID"]
with open(os.environ["KALSHI_PRIVATE_KEY_PATH"], "rb") as f:
PRIV = serialization.load_pem_private_key(f.read(), password=None)
def _headers(method: str, path: str) -> dict:
"""path must include /trade-api/v2 prefix and exclude query string."""
ts = str(int(time.time() * 1000)) # milliseconds
msg = f"{ts}{method}{path}".encode()
sig = PRIV.sign(
msg,
padding.PSS(mgf=padding.MGF1(hashes.SHA256()),
salt_length=padding.PSS.DIGEST_LENGTH),
hashes.SHA256(),
)
return {
"KALSHI-ACCESS-KEY": KEY_ID,
"KALSHI-ACCESS-TIMESTAMP": ts,
"KALSHI-ACCESS-SIGNATURE": base64.b64encode(sig).decode(),
}
def get(path: str, params=None):
# Sign the path only — query goes into params, not the signature
r = httpx.get(BASE + path, params=params,
headers=_headers("GET", "/trade-api/v2" + path))
r.raise_for_status()
return r.json()
def post(path: str, body: dict):
r = httpx.post(BASE + path, json=body,
headers=_headers("POST", "/trade-api/v2" + path))
r.raise_for_status()
return r.json()
# Example: open markets in a series
markets = get("/markets", params={"series_ticker": "KXHIGHNY", "status": "open"})
```
**Signature spec:** RSA-PSS, MGF1 over SHA-256, salt length = `PSS.DIGEST_LENGTH`. String to sign: `{timestamp_ms}{METHOD}{path}` where path includes `/trade-api/v2` and excludes the query string.
Headers: `KALSHI-ACCESS-KEY` (UUID), `KALSHI-ACCESS-TIMESTAMP` (ms), `KALSHI-ACCESS-SIGNATURE` (base64).
### 4. Candlestick history
```python
# Returns OHLC for yes_bid / yes_ask + volume + open_interest
# Values are dollar strings: {"close": "0.42"}
candles = get(
f"/series/KXHIGHNY/markets/{ticker}/candlesticks",
params={"start_ts": start_epoch, "end_ts": end_epoch, "period_interval": 60},
)
```
`period_interval` is in **minutes**: `1`, `60`, or `1440`.
---
## YES/NO Order-Book Convention
On Kalshi, **`yes` and `no` are both resting BID ladders** — there is no separate ask book. To take the other side you lift the opposing bid:
```
no_ask = 1 − best_yes_bid # cost to buy NO right now (lift YES bids)
yes_ask = 1 − best_no_bid # cost to buy YES right now (lift NO bids)
P(YES) mid = (best_yes_bid + (1 − best_no_bid)) / 2
```
Getting this backwards silently inverts every signal. Use the helpers in `scripts/kalshi_orderbook.py`.
**Orderbook response** comes in two variants depending on API tier — normalize before using:
```json
{"orderbook": {"yes": [[price, size], ...], "no": [[price, size], ...]}}
```
If a price value is `> 1.0`, it is integer cents — divide by 100.
---
## Order Schema
`POST /trade-api/v2/portfolio/orders` uses **fixed-point dollar STRINGS**, not integers. The old schema (integer cents, `count`, `yes_price`) returns `400 invalid_parameters`.
```json
{
"ticker": "KXHIGHNY-26JUN02-B75.5",
"action": "buy",
"side": "yes",
"count_fp": "1.00",
"yes_price_dollars": "0.01",
"client_order_id": "my-strategy-001",
"time_in_force": "good_till_canceled"
}
```
Critical field rules — each violation returns `400`:
| Field | Rule | Common mistake that 400s |
|---|---|---|
| `count_fp` | fixed-point **string** `"1.00"` | integer `count: 1` |
| `{side}_price_dollars` | dollar **string** `"0.01"` | integer cents `yes_price: 1` |
| `time_in_force` | **required**: `good_till_canceled` \| `immediate_or_cancel` \| `fill_or_kill` | omitted |
| `client_order_id` | `[A-Za-z0-9-]` only | `.` or `:` in the string — bracket tickers contain `.`, so never copy the ticker directly |
| `type` | **do not send** | `"type": "limit"` |
For the full order lifecycle (amend, decrease, cancel, batch) and `strike_type` gotchas, see `references/auth-and-orders.md`.
---
## Endpoint Summary
| Category | Endpoint | Notes |
|---|---|---|
| Balance | `GET /portfolio/balance` | — |
| Positions | `GET /portfolio/positions` | — |
| Orders | `GET /portfolio/orders` | `?status=resting\|canceled\|executed` |
| Place order | `POST /portfolio/orders` | dollar-string schema above |
| Cancel | `DELETE /portfolio/orders/{id}` | returns `{"order": {...status: "canceled"}}` |
| Amend | `POST /portfolio/orders/{id}/amend` | `ticker` required in body |
| Decrease | `POST /portfolio/orders/{id}/decrease` | `{"reduce_by_fp": "1.00"}` |
| Batch | `POST /portfolio/orders/batched` | `{"orders": [...]}` |
| Fills | `GET /portfolio/fills` | `?limit=N` |
| Settlements | `GET /portfolio/settlements` | `?limit=N` |
| Markets | `GET /markets` | `?series_ticker=&status=open&limit=500` |
| Orderbook | `GET /markets/{ticker}/orderbook` | `?depth=N` |
| Candlesticks | `GET /series/{series}/markets/{ticker}/candlesticks` | `?start_ts=&end_ts=&period_interval=60` |
| Trades | `GET /markets/trades` | recent trade prints |
Full endpoint surface, market metadata fields, and rate limits: `references/endpoints-and-marketdata.md`.
WebSocket discovery pipeline: `references/websocket.md`.
---
## Files
### References
- `references/auth-and-orders.md` — RSA-PSS spec, dollar-string order schema, `time_in_force`, `client_order_id` sanitization, amend/decrease/cancel lifecycle, `strike_type` gotcha, fees
- `references/endpoints-and-marketdata.md` — Full endpoint table, orderbook variants, market metadata fields (`result`, `open_time`, `close_time`, `series_ticker`), candlesticks, rate limits
- `references/websocket.md` — WS host, discovery pipeline, channels, signing the WS upgrade
### Scripts
- `scripts/kalshi_orderbook.py` — YES/NO bid-ladder helpers (`no_ask`, `yes_ask`, `p_yes_mid`, `overround`, `kalshi_fee`). Pure stdlib, no keys, runs offline.
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
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Version reported in registry metadata; check source releases before relying on it.
Quality
73/100
Strong
Trust
64/100
Sandbox only
Audit
79/100
Risky
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"audit": {
"score": 79,
"risk_level": "risky",
"risk_label": "Risky",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
]
},
"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": 73,
"label": "Strong"
},
"supply": {
"track": "Coding and developer agents",
"scenario": "Coding agents",
"maintenance": "6d since push",
"risk": "Risky"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No OpenAgentSkill engagement data yet",
"Audit risk risky exceeds max_risk=medium",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision"
],
"agent_contract": {
"task_input": "Use kalshi-api 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: 72/100 Strong shortlist",
"Audit: 79/100 Risky",
"Safety: 35/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "agiprolabs-kalshi-api (kalshi-api)",
"install_command": "npx skills add agiprolabs/claude-trading-skills --skill kalshi-api",
"risk_summary": "Risky; 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": "agiprolabs-kalshi-api",
"task": "Use kalshi-api 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/agiprolabs-kalshi-api",
"api": "https://www.openagentskill.com/api/agent/skills/agiprolabs-kalshi-api",
"audit": "https://www.openagentskill.com/skills/agiprolabs-kalshi-api/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=agiprolabs-kalshi-api&task=Use%20kalshi-api%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20kalshi-api%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20kalshi-api%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/agiprolabs-kalshi-api/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/agiprolabs-kalshi-api"
}
}Listing source
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Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.