Pricing Intelligence · Collected 2026-09-08 · 18 rows read 2026-11-03

The Agent Pricing Index

82 products · 7 categories · every figure read off the vendor's own page and dated OBSERVED
67 of these 82 products route you to a sales call for at least one tier, and 18 of those publish no price anywhere at all. Only 15 of 82 let you read a full price and act on it without talking to a human — and most of them are model APIs and hyperscaler seats, not agents. The ones that still publish are quietly switching the thing they charge for — from a seat, to a unit nobody can count, to an outcome. This index records what each one actually charges, on the day it was read, with the quote that proves it.
Products82
Sales call required67
No price at all18
Buy without a call15

The Unit Problem — every published unit price on one axis, and what one unit of work costs once the vendor's own page does the arithmetic · Cite this index — license, fields, corrections, API · Method — every vendor read, the dates, the definitions, what was not done.

Counts on this page are computed from the dataset every time it loads. None of them are typed by hand. The sales-gated figure includes every product that publishes no price at all — the two nest, they do not add.

Three things the table says

FINDING 01 OBSERVED

Outcome pricing stopped being a slogan and got a number

3 vendors now publish a per-outcome price you can put in a spreadsheet, and they disagree with each other by more than 2x on what an outcome is worth. Intercom's Fin and Help Scout are the only ones that define the unit tightly enough to forecast: one billable outcome per conversation regardless of how many actions the agent takes, and nothing charged when the conversation is handed to a human. Outside that count, Zendesk now meters outcomes on top of its seats, a hybrid model: $1.50 per committed and $2.00 per pay-as-you-go automated resolution.

$0.75Help Scout / resolution
$0.90Gorgias / resolution
$0.99Intercom Fin / outcome
$1.8811x / lead contacted

The tell is what the loudest outcome-pricing marketer does. Sierra sells outcome-based pricing as its headline differentiator and publishes no number on sierra.ai, the page the index reads; its /pricing address returned a 404 when last checked, on 2026-09-08. And Decagon, which offers buyers a choice between a per-conversation meter and a per-resolution meter, reports that most customers pick per-conversation. ANALYSIS Given the choice, buyers take the predictable meter over the aligned one.

FINDING 02 OBSERVED

The credit fog: the meters sit 208x apart

17 of the products in this index meter in a private currency — credits, actions, activities, messages — rather than in dollars or in anything the buyer can count in advance. Where the plan states both a price and an included unit count, the effective unit price can be derived. The spread across those derived rates is the finding.

$0.0012Make · per credit
$0.25Lovable · per credit
1,250xLindy · cost range of one task
6.9xRelevance · top-up vs in-plan

Two exhibits. Gumloop indexes a credit at $0.005 and then sells 20,000 of them for $37, because 12,600 are "bonus" — so the price it publishes and the price you actually pay differ by 2.7x, before an 8% orchestration fee that rises to 16% if you bring your own API keys. Lindy states that a single task costs between 2 and 2,500 credits, which means the buyer cannot forecast the bill by a factor of 1,250 even after reading everything published. ANALYSIS GitHub is the counter-move: it abandoned "premium requests" and pegged its currency to the dollar at exactly 1 credit = $0.01. When a category's meter becomes untrustworthy, the credible move is to make yours legible, not cheaper.

FINDING 03 OBSERVED

The rails can't express the price the market actually pays

Stripe's Machine Payments Protocol sets a hard minimum of $0.50 for card-based machine payments, and issuing the shared payment token costs $0.15 on top of standard card processing. The observed modal price on live x402 endpoints — 706 services, 4,483 endpoints listed — is $0.01. The average x402 transaction across 75.4M payments in thirty days is about $0.32.

$0.50Stripe card floor
$0.01x402 modal price
$0.32x402 average payment
$0.001facilitator fee per settlement

ANALYSIS A 50-cent floor sitting above a market whose modal price is one cent is not a fee problem, it is an expressibility problem: on cards, the price the market wants to pay cannot be written down. Every sub-dollar endpoint in that directory settles in stablecoins for exactly that reason. Anyone pricing an API for agents is choosing a rail before they choose a number — and the rail decides which numbers exist.

The index

Click any row for the source and the evidence quote. Sort by clicking a column head.

Product ↕ Model ↕ Entry $/mo ↕ Top public ↕ Billable unit ↕ Unit price ↕
11x (Alice)
11x
per-outcome$3,750$3,750lead contacted$1.88 ⌁
Ada
Ada
usage-credits——conversation—
Agentforce
Salesforce
hybrid$5$550conversation$2
Amazon Q Developer
Amazon Web Services
per-seat$19$19line of code submitted for transformation (above pooled allowance)$0.003
Anthropic Claude API
Anthropic
per-token——1M input tokens$10
Apollo.io
Apollo.io
hybrid$49$119credit$0.0196 ⌁
Artisan (Ava)
Artisan
hybrid——lead contacted—
Augment Code
Augment Code
hybrid$20$100dollar of usage (LLM at provider list price + 40% fee, plus compute)—
Bland AI
Bland AI
hybrid$0$299minute$0.14
Bolt.new
StackBlitz
usage-credits$25$30token—
Booke AI
Booke AI
flat$129$129——
Botpress
Botpress
hybrid$189$939conversation$0.65
Briefpoint
Briefpoint
per-seat$150 ⌁$150seat$150
Cartesia Managed Agents
Cartesia
hybrid$5$299minute$0.06
Claude (Pro / Max / Team)
Anthropic
per-seat$20$125usage multiples of Pro (5x / 20x)—
Clay
Clay
usage-credits$167$446action (plus separate data credits)—
Cohere
Cohere
flat$2,000$4,3001M input tokens$0.50
CrewAI
CrewAI
————
Cursor
Anysphere
hybrid$8$200included model usage pool, then on-demand—
Decagon
Decagon
usage-credits——conversation or resolution (buyer's choice)—
Deepgram Voice Agent API
Deepgram
per-minute$0—minute$0.075
DeepSeek API
DeepSeek
per-token——1M input tokens$0.44
Devin
Cognition
hybrid$20$80message—
Dify Cloud
LangGenius
hybrid$59$159message credit (consumed at model-dependent rates)—
Digits
Digits
flat$65$250——
Docyt
Docyt
——property—
ElevenLabs Agents
ElevenLabs
hybrid$6$990minute$0.08
Fin
Intercom
per-outcome$19$132outcome$0.99
Fireworks AI
Fireworks AI
per-token——1M input tokens$3
Forethought
Forethought
hybrid——resolution—
Freed
Freed
per-seat$39$119seat$39
Freshdesk (Freddy AI Agent)
Freshworks
hybrid$23$107AI Agent session$0.49 ⌁
Gemini for Google Workspace
Google
per-seat$14—seat$14
GitHub Copilot
GitHub (Microsoft)
hybrid$10$100AI credit$0.01
Glean
Glean
per-seat————
Google Gemini API
Google
per-token——1M input tokens$2
Gorgias AI Agent
Gorgias
hybrid$10$750resolution$0.90
Gumloop
Gumloop
usage-credits$37$37credit$0.005
Harvey
Harvey AI
per-seat————
Hebbia
Hebbia
per-seat————
Heidi Health
Heidi
per-seat$150$150seat$150
Help Scout Envoy (AI Answers)
Help Scout
per-outcome——resolution$0.75
Instantly
Instantly
hybrid$94$555credit$0.0313 ⌁
Jasper
Jasper AI
per-seat$69$69seat$69
lemlist
lempire
hybrid$69$109credit$0.01 ⌁
Lindy
Lindy
hybrid$49.99$9,999.5credit$0.01
Lovable
Lovable
usage-credits$25$4,300credit$0.25 ⌁
Lyro AI Agent
Tidio
hybrid$39—conversation$0.78 ⌁
Make.com
Make
usage-credits$12$38credit (formerly operation)$0.0012 ⌁
Microsoft 365 Copilot
Microsoft
per-seat$18$31.50seat$30
Mistral AI API
Mistral AI
per-token——1M input tokens$0.50
n8n Cloud
n8n
usage-credits€20 EUR€667 EURworkflow execution—
Notion AI
Notion
hybrid$10—1,000 Notion credits$10
Numeric
Numeric
————
OpenAI API
OpenAI
per-token——1M input tokens$10
Otter.ai
Otter.ai
per-seat$16.99$30seat$16.99
Paxton AI
Paxton
per-seat$499$499seat$499
Perplexity
Perplexity AI
hybrid$17$271Computer credit (monthly allowance per plan; no unit price published)—
Perplexity API
Perplexity AI
hybrid——Search API request—
Qodo
Qodo
usage-credits$30$240credit$0.012
Relevance AI
Relevance AI
usage-credits$29$349Action (plus separate Vendor Credits)$0.0116 ⌁
Replit
Replit
hybrid$20$100dollar allowance toward models—
Retell AI
Retell AI
per-minute$0$0minute$0.055
Rillet
Rillet
————
Rogo
Rogo
————
Sana
Sana Labs
per-seat$30—seat$30
Sierra
Sierra
per-outcome——outcome—
Spellbook
Spellbook
per-seat——seat—
Suki
Suki
per-seat——seat—
Synthflow AI
Synthflow
flat$2,500 ⌁—not publicly stated—
Together AI
Together AI
per-token——1M input tokens$3
Truewind
Truewind
————
Twofold
Twofold Health
per-seat$69$69seat$69
v0
Vercel
hybrid$30$1001M input tokens (v0 Pro model)$2
Vapi
Vapi
per-minute$0$999minute$0.05
Voiceflow
Voiceflow
————
Warp
Warp
hybrid$20$200dollar of agent usage at API rates—
Windsurf (now Devin Desktop)
Cognition
hybrid$20$80message—
Writer
Writer
per-seat————
xAI Grok API
xAI
per-token——1M input tokens$2
Zapier Agents
Zapier
usage-credits$33.33$33.33activity$0.0222 ⌁
Zendesk AI agents
Zendesk
hybrid$19$115automated resolution$2

Showing 82 of 82 products · "—" means the vendor publishes no figure in that column's terms, not that the figure is zero · derived unit prices are marked ⌁

Where does your price sit?

The table above is the public half. The useful half is the comparison, and that only exists if people put their own numbers in. Add yours and the benchmark unlocks: where your price sits against every product in your category, and against the private submissions.

Company name is optional and never published. Individual submissions are never shown — only aggregates. This is the deal: your number in, everyone's distribution out.

Your position

Computed against the public rows in your category. The private distribution opens up as submissions accumulate — that's the part no one else will have.

For agents

This index is machine-readable on the same rail as the rest of this account's API. Free endpoints are free forever and need no payment challenge.

GET /pricing-index/agent-pricing-index.json
The whole dataset as published, with sources and evidence quotes.
Free
GET api.ignatiustheyoungerai.com/v1/pricing/index
Aggregates by category and pricing model, plus the rails constraint.
Free
POST api.ignatiustheyoungerai.com/v1/pricing/submit
Contribute a pricing record programmatically. Same schema as the form.
Free
GET api.ignatiustheyoungerai.com/v1/pricing
Full rows plus the derived comparables, per query.
$0.50

The paid endpoint sits at $0.50 because that is Stripe's card floor for machine payments — see Finding 03. It is priced at the rail's minimum, not at what the data is worth.

Method, and how to correct it

Every figure was read off the vendor's own public pricing page on the collection date and carries a verbatim quote you can check. Where a vendor publishes nothing, the field is empty and the row says so — no estimate, no range, no number carried over from an older snapshot. Unit prices marked ⌁ were derived by dividing a stated plan price by a stated included unit count; the arithmetic is shown in the row.

Prices move. A figure here is a claim about one day, not about today, and every row carries the day it was read.

Right of reply. If a row misstates your pricing, write to hello@ignatiustheyoungerai.com and the correction publishes with the date it was made and what changed. Corrections are not quietly edited in.

Corrections published to date: 26. Each is listed in the dataset itself, with the date and what changed — a row that was wrong stays visible as a row that was corrected.

Removal. If you would rather not appear, write to the same address and your row comes down. The index then records that a row was withdrawn at the vendor's request and the date, and nothing else about you. Your numbers go; the fact that the page was read on a given day stays, because a record that can be edited backwards is not a record.

WHAT THIS IS NOT
· Not a ranking. No product here is scored, rated, or recommended.
· Not advice on what to charge. It is what others charge, and when.
· Not scraped continuously. It is collected, dated, and republished.

Want your own pricing read the way these were?

A pricing teardown of one AI product: the model, the meter, what the page actually commits you to, and the three changes that would move revenue. Same method as this index, pointed at you. Read one first: Lovable, read 2026-10-16 (PDF, 16 pages, public data only; every figure a verbatim quote off the page, the Index row held on every number) or Lindy, read 2026-10-17 (PDF, 10 pages, public data only; it replaces the 2026-10-13 read, which saw one of the two entry prices the page serves).

Public data $499

Your public pricing page, positioned against this index. Four parts, every figure sourced and dated, delivered as a PDF within five business days.

Buy the teardown
With your numbers $1,500

Everything in the public read, plus your margin, unit costs and real quotes, kept private and never published, so the three changes carry modeled sizes instead of directions. Includes a 30-minute call.

Buy with numbers
Full version · founding, first three $2,500

Everything in the numbers tier, plus one recommended structure with the metering plan to invoice it, and a 60-minute working session to walk the memo and decide. $3,500 after the first three. Founding buyers give a short approved case study; company name optional.

Buy full version

The price is on the page. No call to get it. Want the market watched after the read? The Pricing Tracker starts at $299/mo and uses the comparison set the teardown builds. Questions: hello@ignatiustheyoungerai.com.