Kalshi: Trade News & Sports — OpenData, API integration, and regulated event-contract automation

Market catalog synchronization

Ingest the three-level Kalshi hierarchy—series, events, and markets—and store ticker, close time, strike type, and fee schedule. Analysts compare Kalshi mid prices against independent forecasts while engineers keep foreign keys aligned with your security master.

Order lifecycle API

Submit limit and market-style instructions, poll for partial executions, and reconcile cancels against clearing timestamps. Desk operators see the same lifecycle states they recognize from the mobile order ticket, which shortens support tickets during rollout.

Portfolio and balance snapshots

Scheduled pulls of cash, margin usage, and contract counts land in Snowflake or Postgres for morning risk emails. Fields map cleanly to OpenFinance-style balance disclosures even though Kalshi is not a retail bank.

WebSocket market data fan-out

Subscribe to order book deltas and trade prints, then fan them out to internal Kafka topics so quant strategies co-locate Kalshi liquidity with equities and futures feeds inside your VPC.

Historical candle and trade archives

Backtests ingest OHLC windows and trade tapes so researchers can evaluate whether Kalshi prices led CPI surprises or hurricane landfall outcomes by minutes or hours.

Mobile-to-API parity reviews

We document which mobile screens surface derived metrics—such as parlay combinations or education copy—and which numbers must be recomputed from raw API payloads, avoiding silent drift between trader-facing apps and automation.

Faster quant onboarding

Python and TypeScript SDKs published by Kalshi track weekly OpenAPI updates; we wire those SDKs into your CI with contract tests so upgrades on Tuesday mornings do not break production jobs.

Operational clarity

Runbooks spell out rate-limit tiers, RSA key rotation, and demo-versus-production base URLs, which removes guesswork when compliance asks how credentials are stored.

Cross-platform coverage

Because Kalshi ships native iOS and Android experiences alongside the API, we validate that Android-only push alerts and iOS Face ID gates never hide state that your service account still needs to observe through authenticated calls.

Vendor-neutral outputs

Deliverables include OpenAPI fragments and CSV samples so procurement teams can compare our integration pack with other prediction venues without lock-in.

Snippet 1 — Authenticated portfolio snapshot

GET /trade-api/v2/portfolio/balance
Host: api.elections.kalshi.com
KALSHI-ACCESS-KEY: <KEY_ID>
KALSHI-ACCESS-SIGNATURE: <BASE64_RSA_SHA256>
KALSHI-ACCESS-TIMESTAMP: <MS_SINCE_EPOCH>

200 OK
{
  "balance": 482193,
  "portfolio_value": 120440,
  "updated_ts": 1713349288123
}

Errors return structured JSON with machine-readable codes; your worker should backoff when HTTP 429 includes retry hints.

Snippet 2 — Place guarded limit order

POST /trade-api/v2/portfolio/orders
Content-Type: application/json
<SAME RSA HEADERS>

{
  "ticker": "KXHIGHNY-25MAY05-T68",
  "action": "buy",
  "type": "limit",
  "side": "yes",
  "count": 25,
  "yes_price": 42,
  "client_order_id": "crm-20260417-014"
}

201 Created
{
  "order": {
    "order_id": "b7f2-...",
    "status": "resting",
    "remaining_count": 25
  }
}

Snippet 3 — WebSocket subscribe with resume token

wss://api.elections.kalshi.com/trade-api/ws/v2
{
  "id": 1,
  "cmd": "subscribe",
  "params": {
    "channels": ["orderbook_delta"],
    "market_ticker": "KXNBAGAME-25APR17LALPOR-LAL"
  }
}

{
  "type": "orderbook_snapshot",
  "seq": 908221,
  "msg": {
    "yes": [[41, 1200], [42, 900]],
    "no": [[57, 600]]
  }
}

Clients track seq to detect gaps; on gap, REST snapshot endpoints rebuild state before streaming resumes.

Compliance & privacy

Kalshi operates as a CFTC-registered Designated Contract Market and uses a registered clearinghouse for member funds, which triggers commodity regulations such as CFTC Regulation 1.35 (records) and broader U.S. AML/KYC obligations comparable to other financial intermediaries.

For global teams, GDPR still governs how European employees process personal data derived from U.S. customers; we document lawful bases, retention windows, and subprocessors when EU analysts touch trade logs.

We do not bypass Kalshi authentication, crack protections, or scrape private account pages without authorization. Engagements rely on member-approved keys, contractual developer access, or documented public market feeds.

Data flow / architecture

Kalshi mobile or web app confirms human intent and displays education layers.

Ingestion tier hosts RSA-signed workers inside your VPC, applies backoff, and normalizes JSON into Avro.

Storage retains immutable fills plus slowly changing reference data for market rules.

Analytics & APIs expose curated views to Tableau, Jupyter, or internal gRPC services for downstream OpenData consumers.

Polymarket

Crypto-settled global markets expose on-chain trade histories; desks that also trade Kalshi often need separate pipelines because custody and regulatory postures differ.

PredictIt

Politics-heavy limits and fee schedules produce different bid curves; researchers merge both feeds when calibrating election models.

Manifold Markets

Play-money mana markets generate lightweight probability signals useful for training forecasters who later deploy real capital on Kalshi.

Metaculus

Reputation scoring emphasizes calibration; integration teams import Metaculus medians as exogenous features for Kalshi pricing models.

Fanatics Markets

State-by-state rollouts starting in late 2024 increased competition in sports event contracts, pushing data engineers to normalize multi-venue odds for trading desks.

Robinhood

Retail brokers embed event contracts alongside equities; unified transaction export projects span both asset classes for customer tax reporting.

Interactive Brokers ForecastTrader

Interactive Brokers routes event exposures through ForecastEx; institutional users often want Kalshi and IBKR positions in one risk cube.

FanDuel Research

Sports-media tie-ins with CME Group create another feed of contract economics that analysts compare to Kalshi’s Statscore-backed cards.

Futuur

Hybrid play- and real-money modes appeal to forecast communities; data teams harmonize Futuur exports with Kalshi closes for global temperature markets.

Myriad

Tokenized loyalty layers add media engagement signals that marketers cross-reference with Kalshi volume spikes during headline events.

Step-by-step

1. Confirm whether you need read-only market data, member-authenticated trading, or both; trading requires passing Kalshi’s compliance review.
2. Provision RSA keys in the developer portal, store private material in a managed secret store, and register IP allow lists if your infosec team mandates them.
3. Start against the demo host, replay recorded WebSocket sessions, then cut over to production base URLs with separate key pairs.
4. Map each mobile screen from Kalshi: Trade News & Sports to endpoint groups so UX writers and engineers share one glossary.
5. Automate regression tests that diff OpenAPI releases weekly and alert owners before SDK upgrades land.

Deliverables checklist

• OpenAPI-aligned client wrappers (Python / Node.js / Go)
• Auth and signing module with clock-skew guards
• Data dictionary tying JSON fields to mobile labels
• Load tests proving sustained 8–10 request per second bursts respect ceilings
• Security review appendix covering key rotation and incident logging

Recent platform facts for roadmap alignment

In 2024 Kalshi expanded exchange-listed election contracts after federal court clarity, launched deeper sports props and parlay-style constructs for football, and signed a multi-year Statscore deal so live stats align with in-app pricing. Those moves increased both catalog cardinality and real-time ingestion requirements for partners.

About us

We are a technical integration studio focused on authorized mobile and exchange APIs across fintech, retail, and media. Engineers on our bench shipped production trading stacks, bank aggregator programs, and Open Banking consent flows before specializing in prediction-market automation.

• Protocol analysis that explains how app screens map to JSON—not undocumented shortcuts.
• OpenData packaging for research, treasury, and marketing analytics teams.
• Runnable code, Postman collections, and pytest harnesses included in every milestone.
• Source code delivery from $300 with documentation; pay-per-call hosting if you prefer usage billing.

Contact

Send the target app name (Kalshi: Trade News & Sports), desired data classes, and compliance constraints:

Open contact page

Engagement workflow

1. Discovery workshop covering Kalshi trade news sports API integration goals and data residency.
2. Threat modeling for API keys, including break-glass revocation drills.
3. Implementation sprints with weekly diff reviews against Kalshi’s published OpenAPI.
4. Hardening: chaos tests on WebSocket reconnect and partial fill edge cases.
5. Handover with operator runbooks and compliance evidence binders.

FAQ

Do you support only Kalshi: Trade News & Sports?

Can you mix Kalshi data with traditional banking feeds?

What if Kalshi changes sports pricing models again?