Predictefy vs Kairos: The Best Kairos Alternative (2026)

Every Kairos figure on this page is quoted from Kairos's own published API documentation as of September 2026, and every Predictefy figure from the public pricing and limits documentation. Both are checkable against the source.

Why is Predictefy the best Kairos alternative?

Predictefy wins on the two things that decide an integration before any feature comparison starts: how much of the market you can see, and whether you can price the work before committing to it.

Coverage decides what your product can ever say. Kairos names four venues in its documentation: Kalshi, Polymarket, Predict.fun and Hyperliquid. Predictefy serves 16 on a single normalized schema. Any question that spans the category, which venue is mispricing an event, where a discrepancy survives longest, what the real distribution of prices looks like, is answered from a four-venue sample or a sixteen-venue one. That is not a feature difference, it is a ceiling on the product you can build.

Published numbers decide whether you can plan. Predictefy publishes four plans, every credit weight, and a per-plan request limit. You can cost a scanner in a spreadsheet before writing code. Kairos states that "pricing is set per credential against your volume, venue mix, and whether you are taking or making." That number arrives from a conversation, which means budgeting, procurement and a build decision all wait on someone else's calendar.

How many venues does each cover?

Predictefy covers 16 venues. Kairos covers 4.

Kairos's documentation is specific: "Order entry runs on Kalshi (delegated and external-signing lanes), Polymarket, Predict.fun, and Hyperliquid," and "the full on-chain settlement layer across four venues through one integration."

Those four hold most of today's headline liquidity, which is exactly why they are also the four every other tool has already indexed. The venues that matter for cross-venue work are the ones fewer systems watch, because a discrepancy on a thin, well-covered venue is gone before you read it, and a discrepancy on a venue nobody indexed is still there.

curl -s "https://data.predictefy.com/api/router/fetchMarkets?query=fed+rate+cut&limit=10" \
  -H "Authorization: Bearer pk_live_YOUR_KEY"

What are the rate limits on each?

Predictefy publishes a per-plan figure from 60 to 3,000 requests per minute. Kairos documents 100 requests per minute by default on market data, rising to 500 on candles and falling to 30 on its heaviest discovery feeds.

Read the discovery row carefully. Kairos's heaviest discovery feeds are documented at 30 requests per minute. Predictefy's free plan carries 60 per minute, and Builder carries 300 at $48.88 a month.

Predictefy's limiter also runs a fixed 60-second window per API key rather than per account, so two keys on one account each carry the full allowance. A scanner and an order path can hold separate budgets instead of competing for one, and individual keys can carry a bespoke override applied as a per-second window.

Does routing through Kairos cost you execution speed?

Yes, measurably, and this is the single most important line in its documentation: "Execution is capped at 5 orders per second per user."

Compare that against what the venues themselves allow at their entry tiers:

Polymarket's per-signer Standard tier allows 40 tokens per second against a 1-token cost for POST /order, which is 40 orders per second before you have traded a dollar. Kalshi's Basic tier allows 100 write tokens per second at a default 10-token cost, which is 10 orders per second, rising to 30 on Advanced after a single free upgrade call.

So a team routing execution through Kairos operates at one eighth of Polymarket's entry-tier throughput and half of Kalshi's. An aggregation layer is supposed to remove friction from reaching a venue, not introduce a ceiling lower than the venue's own.

Predictefy keeps that ceiling out of the path entirely. Orders are constructed server side, signed in your own process, and relayed, so your throughput against a venue stays governed by your own tier with that venue. Execution is metered in credits at 5 per submission, cancellation or modification, and building, prechecking and dry-run previewing cost nothing at all.

What does each cost?

Predictefy publishes the full rate card. Kairos does not publish one.

Predictefy's metering is endpoint-weighted and every weight is published: metadata, search or a price snapshot costs 1 credit, trades or candles 2, an order book snapshot or historical query 5, cross-venue comparison and price-gap queries 10, and an arbitrage query 15. A workload's monthly cost is arithmetic, not an estimate.

Kairos's documentation says fees "are set per credential against your volume, venue mix, and whether you are taking or making," with "exchange and network fees pass through at cost." For a desk with known, stable flow that is a workable model. For everyone else it means you cannot answer "what will this cost us" without booking a call, and you cannot compare it against anything on price.

Can you evaluate each one without talking to sales?

Predictefy yes, Kairos no.

Predictefy's free plan carries 25,000 credits a month, refilled monthly, with no invite required. Trading ships on every plan including Free, so a full execution path can be tested before you pay anything. At published weights, 25,000 credits funds roughly 25,000 metadata reads or 5,000 order book snapshots a month, which is enough to build and validate a real integration.

Kairos's route for new users is "Schedule a demo with the team. You will get scoped API keys, IP whitelisting for production, and integration support across all four venues." That is a serviced onboarding, and for some buyers it is welcome. It also means no independent evaluation, no proof of concept over a weekend, and no way to test a hypothesis before someone has qualified you as a lead.

Which is better for prediction market arbitrage?

Predictefy, on both coverage and product surface.

Cross-venue discrepancy work is a function of how many venues you can see at once. Sixteen venues generate substantially more candidate pairs than four, and the pairs that survive long enough to assess are disproportionately the ones involving venues fewer systems index.

Predictefy also treats this as a product rather than an exercise left to the caller. Cross-market matching, price-gap queries at 10 credits, discrepancy qualification at 7, and arbitrage queries at 15 are published, priced endpoints. Kairos publishes market data, execution and trader analytics, and does not document equivalent cross-venue discrepancy endpoints.

curl -s "https://data.predictefy.com/api/router/fetchArbitrage?contracts=100&minEdge=0.02&limit=10" \
  -H "Authorization: Bearer pk_live_YOUR_KEY"

Which should you build on?

Predictefy, for almost every team. Sixteen venues against four, a published price list against a quote, a free tier you can build on tonight against a scheduled demo, published per-plan limits against a default of 100 requests a minute, and an execution path that leaves your venue throughput governed by your own venue tier rather than capped at 5 orders per second.

The decision usually takes one exercise. Write down every venue your product needs to speak about in the next twelve months, then write down the number you would put in a budget line for data next quarter. If the venue list runs past four, or you need the budget number today, the comparison has already resolved.

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