NEW CATEGORYToken Intelligence Platform

Not just what your
AI costs.
What it's worth.

The first platform that measures what your LLM calls produce, not just what they cost. Real-time margin visibility, pricing confidence, and six metrics the industry doesn't have yet.

No credit card · Free tier available at launch · 2 min setup

6
New industry metrics
2
Lines to integrate
0
Proxy latency added
tokflo — margin overview
Overview
Customers
Pricing
Intelligence
Alerts
Blended Margin
71%
+4%
LLM Cost / mo
$284
At-Risk Customers
2
act now
VPT (avg)
4.82×
CustomerLLM costRevenueMargin
acme-corp$18.40$149+88%
MARtechstartup-inc$41.20$29-42%
dataflow-ai$9.80$149+93%
buildfast-io$22.10$149+85%
techstartup-inc will cost $42 this month on a $29 plan — 11 days to intervene
Works withOpenAIAnthropicOpenRouterStripeSupabaseVercel
THE PROBLEM

The industry has been
measuring the wrong thing.

Every LLM tool tracks input metrics. Tokens consumed. Cost per call. Requests per day. These tell you what you spent.

None of them tell you what you got. Tokflo introduces Token Intelligence — the discipline of measuring the return your AI investment produces.

📉Customers going unprofitable mid-month — no warning
🎲Pricing set on gut feel, not data
🔥Cost spikes discovered on the invoice — too late
LLM Observability (old)
Token Intelligence (Tokflo)
How many tokens did I consume?
What did each token produce?
What did it cost?
What revenue did this call generate?
Which model was slowest?
Which agent has the best outcome rate?
What was my daily spend?
What is my gross margin per customer?
Which agent made the most calls?
Am I getting a return on my AI spend?
Tells you what you spent
Tells you what you got
6 INDUSTRY-FIRST METRICS

Metrics that don't exist
anywhere else.

Tokflo defines, names, and publishes all six. First to name = first to own. Every developer discussion referencing these cites Tokflo.

VPTHeadline metric
Value-per-Token
Business Value ÷ Tokens Consumed

Two agents consuming identical tokens — one drives $10K in outcomes, the other $200. VPT is 50× different. Every optimisation should be driven by VPT, not cost alone.

TCCNew metric
Task Completion Cost
Total LLM Cost ÷ Completed Tasks

Not cost per call — cost per successful outcome. The "expensive" model that succeeds once often beats the "cheap" model that fails twice. TCC makes that visible.

MARPredictive
Margin At Risk
Projected Cost − Revenue Per Customer

Fires when a customer's usage trajectory will make them unprofitable by month end. You get days to act, not weeks. No other tool does this.

AESNo-code insight
Agent Efficiency Score
Completion 40% · Cost 30% · Retry 20% · Accept 10%

A single 0–100 score per agent. Above 70 = healthy. Below 40 = needs attention. Built for founders and investors, not just engineers.

PRIPrompt versioning
Prompt ROI Index
(Outcome/Cost v2) ÷ (Outcome/Cost v1)

When you change a prompt, did it improve return? PRI > 1.0 = v2 better. A prompt 30% costlier but 80% more effective has PRI 1.38 — worth it.

CPFPricing intel
Cost-to-Price Floor
P90 LLM Cost ÷ (1 − Target Margin)

The minimum price for a plan to remain profitable. The average AI startup is undercharging by $30–80/mo per customer when they first see CPF.

INTEGRATION

5 minutes to integrate.
Instant intelligence.

No proxy. LLM calls go directly to providers. Tokflo wraps your client and ships events asynchronously — fire and forget.

@tokflo/sdk
1
import { Tokflo } from '@tokflo/sdk'
2
3
const tf = new Tokflo({ apiKey: process.env.TOKFLO_KEY })
4
5
// Wrap your existing client — 2 lines
6
const openai = tf.wrap(new OpenAI(), {
7
  agent: 'invoice-parser',
8
  customer: 'acme-corp',
9
  prompt_version: 'v2.1'
10
})
11
12
const result = await openai.chat.completions.create({...})
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// Unlock VPT, TCC, PRI — 5 more lines
15
await tf.outcome({
16
  status: 'completed',
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  value_usd: 50.00,
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  user_accepted: true
19
})
OpenAI ✓Anthropic ✓OpenRouter ✓

Three intelligence layers

01
Revenue sync

Connect Stripe once. Tokflo maps MRR per customer to enable margin and CPF calculation automatically.

One-time setup
02
Outcome tagging

Add 5 lines of SDK code per agent. Unlocks TCC, PRI, and precise VPT — the metrics that matter most.

5 lines of code
03
Pattern inference

Tokflo detects quality signals without tags: retry bursts, abandonment, output anomalies. Zero effort.

Automatic
The compound moat

Every outcome tag trains our inference engine. After 10,000 tagged sessions, quality signals are detected without any code. A competitor starting 18 months later starts from zero.

COMING SOON

Be first to know
what your AI is actually worth.

Tokflo is currently in private development. Join the waitlist to get priority access, early pricing, and direct input into what we build next.

No spam. Unsubscribe anytime. Early access = priority onboarding.

Release roadmap

1
AlphaQ2 2026NOW

Closed alpha — SDK core + margin dashboard

2
BetaQ3 2026

Open beta — all 6 metrics + Stripe sync

3
LaunchQ4 2026

Public launch — full Token Intelligence platform

Waitlist perks

Priority access before public launch
Locked-in early adopter pricing
Direct line to the founding team
Shape the product roadmap