Pricing
From 95% to 99.5%. The Last Mile of Agent Reliability.
From 85.7% to 100% on hard code. +20.8pp on reasoning tasks. 12.2x deeper chains that don't decay. 679 cognitive abilities behind one endpoint.
Haki
Most Populardominant will · all modes + multi
Primary ability plus cross-domain guards. Catches failures a single ability misses. Best for tasks spanning multiple reasoning dimensions.
- ✓4 product layers. 679 cognitive abilities
- ✓Primary ability + 3 cross-domain failure guards per call
- ✓Self-check before output. Escape pattern on failure
- ✓10,000 calls/month
- ✓100 requests/minute
- ✓Full injections: failure gates, procedures, checkpoints, vectors
What it solves
Real problems don't fit one dimension. A supply chain decision is causal, temporal, and spatial at the same time. Haki gives your agent compound protection in one call: a primary ability sets the reasoning direction, and three cross-domain failure guards block the failures the primary alone wouldn't catch. Before committing to output, a self-check verifies the agent didn't fall into any guarded failure mode. Your agent reasons from multiple angles and catches its own mistakes before responding.
Measured on external academic benchmarks (BBH, CausalBench, MuSR): +20.8pp composite quality lift. Every quality factor improved. Read the report.
Ki
focused energy · all modes
One task-matched ability per call. Your agent's primary failure mode gets a targeted block.
- ✓4 product layers. 679 cognitive abilities
- ✓Full cognitive ability per call: procedure, failure gate, checkpoint
- ✓Suppression + amplification vectors. Reasoning topology
- ✓5,000 calls/month
- ✓100 requests/minute
What it solves
Your agent sends its task description. The API returns the most relevant cognitive ability: a negative gate that names the failure pattern to avoid, a step-by-step reasoning procedure, a falsification checkpoint to verify the output, and suppression vectors that block the exact reasoning shortcuts your task is vulnerable to.
Measured: 85.7% → 100% on hard competitive programming. 5.8% composite sycophancy on real Reddit scenarios, cross-model on GPT-4o. Reports.
Enterprise
Ejentum inside your perimeter. Abilities engineered for your domain's specific failure modes.
- ✓All product layers. Unlimited abilities per call
- ✓Unlimited volume
- ✓Private deployment. Dedicated instance
- ✓Custom ability engineering for your domain
- ✓SLA + dedicated support
What it solves
At scale, reasoning degradation compounds across your fleet. Enterprise brings the harness inside your perimeter. Abilities tuned to your specific failure modes, private inference, and dedicated engineering to ensure every agent in your fleet maintains reasoning fidelity under your production constraints.
Start with 100 free calls. No card required. Create a free account →
Four harnesses. One subscription.
Every plan includes all product layers. Pick the mode that matches your task.
All tiers include hosted MCP at api.ejentum.com/mcp.
Reasoning Harness
Channels analytical power across 6 cognitive dimensions. Prevents shortcuts that turn careful analysis into surface-level pattern matching.
Anti-Deception Harness
Channels the capacity for honesty. Prevents sycophancy, hallucination, prompt injection, and telling people what they want to hear.
Code Harness
Channels engineering discipline. Prevents silent correctness bugs, reasoning spirals, premature algorithm convergence, and lost safety guards during refactoring.
Memory Harness
Channels observational depth. Prevents missed emotional shifts, ignored context drift, stale assumptions, and treating every interaction the same.
Your agent doesn't lack knowledge. It loses reasoning quality over time.
Every LLM degrades its reasoning as tasks get longer. Attention drifts, failure patterns go unchecked, conclusions get accepted without verification. The Logic API is a runtime reasoning layer your agent calls to maintain cognitive fidelity. Each ability is a structured injection: a negative gate that names the failure to avoid, a procedure that structures execution, a checkpoint that verifies the output, and suppression vectors that block the reasoning shortcuts your task is vulnerable to.
Measured across external academic benchmarks and custom professional tasks: significant lifts on self-monitoring, verification, and alternative consideration. On hard competitive programming: 85.7% to 100% pass rate, zero regressions. Starting at €19/month.
Frequently Asked
More answers in the full FAQ · Quickstart guide · Use cases · Try it in the Playground
Ki or Haki. Which do I need?
Start with Ki. It gives access to all 4 product layers: reasoning (311 abilities), code (128), anti-deception (139), and memory (101). One ability per call handles most failures. Upgrade to Haki when your tasks span multiple reasoning dimensions. Haki adds failure guards from 3 cross-domain abilities plus a self-check before output.
What happens when I hit my call limit?
You receive a 429 response with a clear message and a link to upgrade. Free tier: 100 calls total. Ki: 5,000 calls/month, resets on billing cycle. Haki: 10,000 calls/month. Burst rate: 100 requests per minute across all tiers. Upgrade anytime from your dashboard.
Is there a free tier?
Yes. 100 API calls across all Ki modes (reasoning, code, anti-deception, memory), no credit card required. Create an account, generate a key from your dashboard, and start calling the API immediately. Same endpoint, same abilities, same response format as paid plans.
What uptime do you guarantee?
We target 99.9% availability on a global edge network with automatic failover. If the API is unreachable, your agent continues on native LLM reasoning. Ejentum is a reasoning enhancement layer, not a hard dependency in your execution chain.
How do I measure the impact?
Run 50 to 100 representative tasks before and after integrating. Compare task completion rate, reasoning chain quality (does the agent self-monitor, verify, consider alternatives?), and token cost per task. Full evaluation methodology at /docs/evaluate.
Does it work with any LLM?
The abilities are model-agnostic. They are structured reasoning injections, not model-specific prompts. The cognitive operations (suppression, amplification, falsification checkpoints) work with any instruction-following model. We test across major model families.
What exactly does the API return?
A JSON object containing a pre-rendered cognitive injection. Each ability includes: a negative gate (the failure pattern to avoid), a step-by-step reasoning procedure, a reasoning topology, a target pattern (what correct reasoning looks like), suppression and amplification vectors, and a falsification test. You inject this into your agent's context before task execution.