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Premiss

Premiss is a no-code platform that converts natural language descriptions of trading strategies into executable Python code, backtests them against years of historical market data, and runs them forward as paper trading bots on live prices.

Premiss is a no-code platform, priced at $30 a month on the Explorer plan, integrating with Binance, OKX, Bybit and Kraken Pro. InnovaAI rates it 5.3 of 10 for agency resale.

Consider5.3/10

Agency Audit

Premiss converts natural language trading strategies into executable Python bots with backtesting on years of historical data and paper trading on live prices. It models exchange fees for Binance, OKX, Bybit, Kraken Pro, and Coinbase Advanced, making it relevant for crypto trading agencies and fintech startups building client trading infrastructure. Agencies can resell access as a research tool or strategy development service, but real-money trading (Premiss Live) is limited to Kraken and early-access only, constraining the depth of client offerings. The platform works best for agencies serving quantitative traders or crypto funds rather than traditional digital marketing or e-commerce clients.

ConsiderNo WLFreemium
Fit

5.3/10

Typical Margin

33%

Time-to-Value

3d about 3 days

Complexity
Low
Consider
Fit53
Visit Premiss
Best For
  • Your agency serves crypto trading firms or quantitative research shops that need strategy backtesting and paper trading without writing Python.
  • You want to offer clients fee modeling across five major exchanges (Binance, OKX, Bybit, Kraken Pro, Coinbase Advanced) in a single tool rather than building custom spreadsheets.
  • You can integrate Premiss paper trading signals (JSON webhooks) into your own execution or alerting infrastructure for clients.
Not For
  • Your agency focuses on traditional digital marketing, SEO, or e-commerce; Premiss has no application outside crypto trading.
  • You need multi-exchange live trading today; Premiss Live currently supports Kraken only and is in early access.
  • Your clients require white-label branding on the trading interface; Premiss does not offer a white-label program.

Profit Path

Your Cost (USD)

$30/mo

Market Range

$600–$1.5K/project

Revenue Model

Hybrid

From 242 published agency rates in the United States, 25th to 75th percentile times 20 h of assumed delivery time. Rates are self-reported directory profiles, not observed transactions.

Platform Features

Core capabilities of Premiss

Natural language to Python conversion

Describe a trading strategy in plain English and Premiss generates auditable Python code. Agencies can show clients the exact logic behind backtested results, eliminating black-box concerns and enabling strategy transparency.

Multi-exchange fee modeling

Backtests account for base-tier maker and taker fees on Binance, OKX, Bybit, Kraken Pro, and Coinbase Advanced. Agencies can show clients how a strategy's profitability changes when moving between exchanges, informing execution venue selection.

Backtesting on years of historical data

Strategies run against years of Binance spot candle data with every fill recorded and auditable. Clients receive booked results showing entry, exit, and P&L for each trade, not just summary statistics.

Paper trading on live market data

Promoted strategies run forward as paper bots on live prices, recording simulated entry and exit signals without risking capital. Agencies can validate strategy performance in real market conditions before moving to live execution.

JSON signal posting to external endpoints

Paper trading bots post entry and exit signals as JSON to agency-controlled endpoints with custom authentication. Agencies can integrate signals into their own execution, alerting, or reporting systems.

Kraken Live trading (early access)

Approved participants can execute real-money trades on Kraken using their own API keys and account. Premiss holds no exchange keys, maintaining client security and compliance.

What Makes Premiss Different

Unique advantages vs similar tools in this niche

Generates readable Python code from natural language descriptions

vs Traditional backtesting platforms requiring manual coding

The AI writes the Python, backtests it on years of market data, and returns a booked, auditable result.

Models exchange-specific fee structures for accurate cost analysis

vs Generic backtesting tools that ignore exchange fees

Premiss models the base-tier maker and taker fees of Binance, OKX, Bybit, Kraken Pro and Coinbase Advanced.

Posts signals to any URL with custom authentication

vs Closed trading bots that lock users into their ecosystem

A strategy running as a paper bot can post its entry and exit signals as JSON to any destination you control.

Investment ROI Calculator

Value equation analysis for Premiss, based on the Hormozi framework

What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.

Value MultiplierGood

1.9× value multiple: invest $30/mo and agencies typically charge $600–$1.5K/project for the work it powers.

Outcome28
÷
Friction15

Why This Succeeds

Higher is better

Implementation Challenges

Lower is better

Viable opportunity. Premiss returns 1.9× on investment. Focus on the highest-margin service packages to maximize return.

Best if:Your agency serves crypto trading firms or quantitative research shops that need strategy backtesting and paper trading without writing Python.You want to offer clients fee modeling across five major exchanges (Binance, OKX, Bybit, Kraken Pro, Coinbase Advanced) in a single tool rather than building custom spreadsheets.You can integrate Premiss paper trading signals (JSON webhooks) into your own execution or alerting infrastructure for clients.Your clients are individual crypto traders or small funds willing to use Kraken for live trading once Premiss Live access expands.

Pricing

Premiss platform cost to your agency

~33% margin

Starts at $30/mo (Explorer), scales to $100/mo (Studio)

Free

$0/mo
Free forever
  • Credits each day
  • Python strategies you can read
  • Backtests on years of market data
  • Paper bots on live prices

Explorer

$30/mo
  • More daily credits
  • More backtests
  • Longer paper runs
  • Priority access

Studio

$100/mo
  • Highest daily limits
  • More concurrent runs
  • Longest paper runs
  • Priority support

No verified white-label program for Premiss: client-facing delivery runs under the platform's native branding.

Market Intelligence

How agencies monetize Premiss: real offer economics and market positioning

Service Applications
Automation & IntegrationsReporting & AnalyticsDelivery & Production
Best For
  • Crypto trading agencies
  • Quantitative research firms
  • Fintech startups
Not Ideal For
  • Agencies without crypto trading expertise
  • Agencies needing multi-exchange real-money trading

Project-Based

ai-tools

Agency charges per-project fee for implementation. Ongoing optimization as optional retainer.

Offer Economics: What You Charge vs. What It Costs

Margin includes platform cost + agency labor at $75/hr.

Premiss Starter Bot Launchlocal smb

Solo crypto traders or small investment clubs wanting a first automated trading bot without coding

$2.3K
Tool: $30/mo (2 mo = $60)Labor: 20h setup × $75 = $1.5KMargin: 31%Benchmark: $600–$1.5K/project
• Configure Premiss workspace and translate client's trading strategy into a deployable Python bot• Set up backtests against 2+ years of historical market data and document results• Deploy paper trading bot on live prices and validate performance against client benchmarks• Train client on reading bot output, adjusting parameters, and monitoring daily credits
Premiss Multi-Strategy Buildgrowth smb

Funded crypto startups or boutique trading firms needing 3-5 concurrent automated strategies with exchange fee modeling

$6.8K
Tool: $30/mo (2 mo = $60)Labor: 60h setup × $75 = $4.5KMargin: 32%Benchmark: $1.5K–$3.7K/project
• Build and backtest up to 5 distinct natural-language trading strategies as executable Python bots• Configure exchange fee models for client's target crypto exchanges and optimize strategy parameters• Set up concurrent paper trading runs and produce a comparative performance report• Document bot logic, risk parameters, and handoff runbook for client's internal team
Premiss Trading Desk Setupmid market

Mid-market fintech firms or crypto funds building an internal automated trading operation across multiple strategies and exchanges

$18K
Tool: $30/mo (2 mo = $60)Labor: 160h setup × $75 = $12KMargin: 33%Benchmark: $3.6K–$8.8K/project
• Architect and deploy a full suite of 10+ backtested trading bots covering client-defined strategy library• Integrate exchange fee modeling for all target venues and optimize each bot for net-fee performance• Build a monitoring dashboard and alert framework for live paper trading across concurrent bot runs• Deliver staff training sessions and a complete operational playbook for ongoing bot management
Premiss Enterprise Algo Programenterprise

Enterprise crypto trading desks or institutional asset managers launching a proprietary automated strategy program with live trading readiness

$54K
Tool: $30/mo (2 mo = $60)Labor: 480h setup × $75 = $36KMargin: 33%Benchmark: $7.8K–$19.2K/project
• Architect and build an enterprise-grade bot library translating the client's full strategy catalog into audited Python bots• Configure multi-exchange fee modeling, risk controls, and compliance checkpoints across all deployed bots• Optimize and stress-test all strategies via extended backtests and long-horizon paper trading runs before live deployment• Integrate Kraken real-money trading access, deliver governance documentation, and train trading desk personnel

Scale Economics: Based on Starter Offer

Using Premiss Starter Bot Launch at $2.3K/client. Platform: $30/mo. Labor: 4h/client × $75/hr.

5 clients
$11.3K
MRR
$9.7K net (86%)
10 clients
$22.5K
MRR
$19.5K net (87%)
20 clients
$45K
MRR
$39.0K net (87%)

Net = MRR - platform cost - labor (4h/client × $75/hr).

Weighted Avg Margin
33%
Across all offer tiers, incl. labor at $75/hr
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Investment Decision Framework

Strategic vetting analysis for Premiss

Vetting Verdict

Consider

Favorable fit, worth a closer look

Agency Fit(white-label + resell pathway)
53/100
0255075100
Resell Friction(WL + mode + complexity)
60/100
0255075100

Buy If

4
OPERATIONAL FIT

Your agency serves crypto trading firms or quantitative research shops that need strategy backtesting and paper trading without writing Python.

OPERATIONAL FIT

You want to offer clients fee modeling across five major exchanges (Binance, OKX, Bybit, Kraken Pro, Coinbase Advanced) in a single tool rather than building custom spreadsheets.

OPERATIONAL FIT

You can integrate Premiss paper trading signals (JSON webhooks) into your own execution or alerting infrastructure for clients.

OPERATIONAL FIT

Your clients are individual crypto traders or small funds willing to use Kraken for live trading once Premiss Live access expands.

Skip If

5
CAUTION

Your agency focuses on traditional digital marketing, SEO, or e-commerce; Premiss has no application outside crypto trading.

CAUTION

You need multi-exchange live trading today; Premiss Live currently supports Kraken only and is in early access.

CAUTION

Your clients require white-label branding on the trading interface; Premiss does not offer a white-label program.

CAUTION

You cannot manage JSON webhook integrations or lack engineering resources to connect paper trading signals to client systems.

CAUTION

Your clients trade on exchanges other than Binance, OKX, Bybit, Kraken Pro, or Coinbase Advanced for backtesting purposes.

Bottom Line

Premiss converts natural language trading strategies into executable Python bots with backtesting on years of historical data and paper trading on live prices. It models exchange fees for Binance, OKX, Bybit, Kraken Pro, and Coinbase Advanced, making it relevant for crypto trading agencies and fintech startups building client trading infrastructure. Agencies can resell access as a research tool or strategy development service, but real-money trading (Premiss Live) is limited to Kraken and early-access only, constraining the depth of client offerings. The platform works best for agencies serving quantitative traders or crypto funds rather than traditional digital marketing or e-commerce clients.

Reality Check

Trade-offs & Gotchas

Premiss Live real-money trading is restricted to Kraken accounts in early access, so agencies cannot yet offer multi-exchange live execution as a client service. Paper trading signals can post to external endpoints as JSON, but agencies must build their own infrastructure to consume and act on those signals, adding operational complexity.

Implementation Reality

Moderate effort: standard configuration with some customization needed

Effort: 3/10Time: 5/10

Academy for Premiss

Work through it in order: the course for this service first, then the modules behind it.

Course for this service

Premiss Agency Implementation, Building Crypto Trading Strategy Services

Learn how to package Premiss as a client-facing service by converting natural language strategy descriptions into backtested Python code, modeling profitability across five major exchanges, and delivering auditable trade signals. This course teaches agencies how to structure retainer offerings around strategy research, validation, and paper trading execution.

Open the course

Core concepts

The mental model you need to price and scope the work.

  1. Wiring Over WidgetsConcept

    The AI agent itself is a commodity, but the value for agencies lies in the integration layer: connecting a pre-built agent to a client's CRM, calendar, and review cycle. This framework shifts focus from selecting the 'best' agent to mastering the wiring process. For example, an agency using Vendasta's white-label AI receptionist for a local business must configure it to match the client's booking rules and follow-up cadence, turning a generic tool into a tailored service. As agentic AI adoption grows (77% of decision-makers now run agents in production), clients expect this customization. Agencies that treat agents as components and invest in repeatable wiring processes can charge retainers for ongoing optimization, rather than one-off setup fees.

  2. Wiring Over WidgetsConcept

    The AI agent market sells finished workers, but the strategic value for agencies lies not in the agent itself, which is increasingly a commodity, but in the wiring that connects it to a specific client's CRM, calendar, and review cycle. This framework, 'Wiring Over Widgets,' argues that agencies that treat agents as components rather than products win. The agent is the widget; the wiring is the integration, customization, and ongoing optimization that turns a generic tool into a tailored solution. For example, a white-label platform like Vendasta provides AI employees, but the agency's role is to configure them for each local business's unique lead flow and follow-up process. This wiring is where retainer pricing originates, as it requires ongoing maintenance and adjustment. Recent research shows that 88% of B2B marketers face foundational gaps, meaning clients need help not just deploying agents, but ensuring their operations can support them. Agencies that master the wiring can charge a premium for the irreducible value they add.

  3. Wiring Premium Over Agent CommodityConcept

    Pre-built agents are converging on the same underlying model capability, so the agent itself prices toward zero. What holds value is the wiring: the mapping of a specific client's CRM fields, calendar rules, escalation paths, and review cadence into the agent's loop. Agencies that sell the agent as the product compete on seat price against every reseller of the same worker. Agencies that sell the wiring charge for discovery, field mapping, exception handling, and monthly tuning, which is retainer work. Vendasta's white-label AI workforce and Relevance AI's pre-built sales agents both arrive configured out of the box, which means the configuration is not the moat; the client-specific plumbing is. A practical test: if a competitor could swap your agent vendor next quarter without the client noticing, you sold a commodity. If the swap would break their CRM hygiene, approval chain, or reporting, you sold wiring.

12 modules selected for Premiss

Frequently Asked Questions

Answers about pricing, setup, implementation

Premiss converts natural language trading strategies into executable Python code, backtests them on years of historical market data, and runs them forward as paper trading bots on live prices. It models exchange fees for Binance, OKX, Bybit, Kraken Pro, and Coinbase Advanced, and supports real-money trading on Kraken via Premiss Live (early access). Paper trading signals can be posted as JSON to external endpoints for integration into custom execution systems.

Premiss lists 3 plans; the paid ones run from $30 a month (Explorer) to $100 a month (Studio). The typical margin on reselling Premiss is 33% of the fee, after the platform and labor at $75 an hour.

No verified white-label program exists. Client-facing surfaces display the Premiss brand, so you cannot present a fully branded trading interface to clients. Agencies can resell access as a research and strategy development tool, but the interface itself remains Premiss-branded.

Yes. Premiss natively integrates with Binance, OKX, Bybit, Kraken Pro, and Coinbase Advanced for backtesting and fee modeling. Paper trading signals can post to external endpoints via JSON webhooks. Real-money trading via Premiss Live currently supports Kraken only.

Setup time depends on whether the client is running backtests only or integrating paper trading signals into external systems. Backtesting alone takes minutes once the strategy is described in natural language. Integrating JSON signals into a custom execution system requires engineering effort proportional to the client's infrastructure complexity.

Premiss is designed for crypto trading agencies, quantitative research firms, fintech startups, and individual crypto traders. It is not applicable to traditional digital marketing, e-commerce, or SaaS agencies unless those clients operate proprietary trading desks.

Backtesting and paper trading support Binance, OKX, Bybit, Kraken Pro, and Coinbase Advanced. Real-money execution via Premiss Live is limited to Kraken and is in early access. Agencies cannot yet offer multi-exchange live trading through Premiss.

No. For paper trading, Premiss posts signals to agency-controlled endpoints; the agency manages authentication. For Premiss Live (Kraken), clients provide their own API keys directly to Premiss, and Premiss does not store keys for other exchanges.