Current view · observed 2 Jun – 29 Jun 2026 · 52 products · = Edition 1

Methodology & data.

Every figure traces to a vendor’s own public page, archived on the day it was read. Here’s how, and the full panel.

How a row is built

One row is a product × plan × capture date. A product qualifies when its public pricing page carries a numeric, depletable meter — credits, tokens, tasks, actions, outcomes. Because a credit means something different everywhere, the Index works in three comparable layers and never compares raw $/credit across products:

  • Unit-free within-product ratios — top-up premium over a plan’s own bundle, tier-to-tier discount curves. The unit cancels.
  • Policy distributions — rollover, expiry, behaviour at zero, seat scaling. Counted across the panel.
  • Task-equivalent prices within a category — only where the credit-to-action mapping is public, and only where the task is the same.

Sources are vendors’ own public pricing pages and help docs only — never third-party trackers, leaks, or estimates (those may annotate a row, never populate it). Every published row is pinned to at least one Wayback Machine snapshot. Promos and regional prices are flagged and excluded from metrics. Prices visible only behind the logged-in purchase screen are recorded as in-app only and kept out of public aggregates — the opacity is reported, not imputed. Derived figures are computed at build; none is hand-entered, and missing is missing — no imputation, ever.

What we excluded — and why

The inclusion test is deliberately strict, and plenty of well-known AI software fails it. The reasons are part of the picture — not every AI product meters, and where the meter is absent is itself a finding:

  • Flat per-seat AI, no meter — e.g. Granola (AI meeting notes; $14–$35/user, “unlimited”). Priced like classic SaaS — nothing to meter.
  • Caps without purchasable units — e.g. Wispr Flow (AI dictation; 2,000 words/week free, then a flat “unlimited” Pro at $15). A cap, but you upgrade rather than buy more, so there’s no top-up economics to read.
  • No first-party AI product — e.g. Obsidian (a notes app; AI is third-party plugins). Out of scope.
  • Raw API token pricing (OpenAI / Anthropic / Google per-token rates) — a different layer; this study is about the abstraction products wrap around tokens.
  • Negotiated enterprise pricing — unobservable; tracked instead on the opacity watchlist.
  • Promos, regional, and lifetime prices — flagged and kept out of the metrics so the quarterly time series stays clean.

The panel & source ledger

Every published product, its computed bundled-rate range, whether the top-up price is public, and the dated source + archive each row rests on. The full per-plan dataset is the /benchmarks/credit-index.json endpoint (published observations only).

The Index is published under CC BY 4.0: free to reuse — including by AI engines — with attribution to Strategy of Finance — The AI Credit Index.

ProductCategoryBundled $/creditTop-up priceObservedSource
Adobe Firefly (generative credits) Incumbents adding meters $0.004–$0.005 Published adobe.com · archive
Agentforce (Flex Credits) Incumbents adding meters — Published help.salesforce.com · archive
Apollo GTM / RevOps $0.02475–$0.026 In-app only apollo.io · archive
Bardeen Workflow automation $0.05–$0.1 In-app only bardeen.ai · archive
Bolt Coding / agents $0.0000018–$0.0000025 In-app only bolt.new · archive
Canva AI (Magic Studio AI allowance) Incumbents adding meters $0.005–$0.0075 In-app only canva.com · archive
ChatLLM General agents $0.0005–$0.00067 In-app only abacus.ai · archive
Clay GTM / RevOps $0.074–$0.0825 Published clay.com · archive
Copy.ai Content / marketing $0.04–$0.05 In-app only copy.ai · archive
Cursor Coding / agents $0.5–$1 Published cursor.com · archive
D-ID Studio Media generation $0.1475–$0.49 None d-id.com · archive
Descript Media generation $0.04333–$0.06 In-app only descript.com · archive
Devin Coding / agents — In-app only devin.ai · archive
Dream Machine (Luma) Media generation $0.002–$0.003 Published lumalabs.ai · archive
ElevenLabs Media generation $0.00016–$0.0002 Published elevenlabs.io · archive
Emergent Coding / agents $0.2–$0.26667 Published emergent.sh · archive
Figma AI credits Incumbents adding meters $0.00533–$0.02118 Published figma.com · archive
Fin Support / CX — Published intercom.com · archive
Gamma Content / marketing $0.00333–$0.01 Published gamma.app · archive
Genspark General agents $0.002–$0.0025 Published genspark.ai · archive
GitHub Copilot Coding / agents $0.005–$0.00667 Published github.com · archive
HeyGen Media generation $0.04833–$0.09933 In-app only heygen.com · archive
HubSpot Credits (Breeze) Incumbents adding meters — Published legal.hubspot.com · archive
Hugging Face Hub † Dev platforms $4.50–$25 Published huggingface.co · archive
Ideogram Media generation $0.01714–$0.02 Published ideogram.ai · archive
Instantly GTM / RevOps $0.0194–$0.06267 Published instantly.ai · archive
Leonardo.Ai Media generation $0.0008–$0.00141 In-app only leonardo.ai · archive
Lovable Coding / agents $0.25–$0.5 Published lovable.dev · archive
Magnific AI suite Media generation $0.00127–$0.0022 In-app only magnific.com · archive
Make Workflow automation $0.0018 Published make.com · archive
Manus General agents $0.005 In-app only help.manus.im · archive
Midjourney Media generation $2–$3.03 Published docs.midjourney.com · archive
monday AI (AI credits) Incumbents adding meters $0.007–$0.012 Published monday.com · archive
n8n Cloud Workflow automation — Published n8n.io · archive
Notion AI (Notion credits) Incumbents adding meters — Published notion.com · archive
OpenArt Media generation $0.00226–$0.0035 Published openart.ai · archive
PhantomBuster Workflow automation $1.46–$3.45 None phantombuster.com · archive
Pika Media generation $0.01429–$0.01583 In-app only pika.art · archive
Recraft Media generation $0.01–$0.012 Published recraft.ai · archive
Relay.app Workflow automation $0.05067–$0.07867 In-app only relay.app · archive
Replit Coding / agents $1 Published replit.com · archive
Rovo (AI credits) Incumbents adding meters $0.01–$0.0125 Published support.atlassian.com · archive
Runway Media generation $0.01–$0.024 In-app only runwayml.com · archive
Smartlead GTM / RevOps $0.00076–$0.0065 Published smartlead.ai · archive
Suno Media generation $0.003–$0.004 In-app only suno.com · archive
Surfer Content / marketing $3.97–$7.30 None surferseo.com · archive
Synthesia Media generation $0.02417–$0.02472 In-app only synthesia.io · archive
Udio Media generation $0.00417–$0.005 Published udio.com · archive
v0 Coding / agents $1–$3.33 In-app only v0.app · archive
Windsurf (Devin Desktop) Coding / agents — In-app only windsurf.com · archive
Zapier Workflow automation $0.03999–$0.05175 In-app only zapier.com · archive
Zendesk AI agents Support / CX $3.80–$11.50 In-app only zendesk.com · archive

† Borderline inclusion — sits near the raw-API exclusion line; captured anyway, flagged here.

Field definitions

The JSON and CSV exports share one row shape — one plan tier per row, with the product and observation fields repeated on each row. Computed fields are marked; they are derived at build time from the published inputs and are never stored. The same definitions are kept in the repository as docs/ai-credit-index-data-dictionary.md.

FieldTypeDefinition
product_slugstringStable product identifier (the YAML file name). Joins to /benchmarks/ai-credit-index/reviewed/<slug> where a Reviewed page exists.
companystringVendor name as it appears on the pricing page.
productstringProduct name as it appears on the pricing page.
categoryenumOne of nine panel categories (coding-agents, media-gen, incumbent-meters, workflow-automation, gtm-revops, general-agents, content-marketing, support-cx, dev-platforms).
audienceenumPrimary go-to-market audience: consumer, prosumer or business. Editorial classification; business absorbs enterprise.
observed_atdate (ISO)Date the pricing page was read and archived for this observation. Every row in a given edition is dated on or before that edition’s cut-off.
unit_namestringWhat the vendor calls the metered unit (credits, tokens, tasks, actions…). Units are NOT comparable across products.
dollar_peggedbooleanTrue when one unit is defined as a fixed dollar amount (e.g. 1 credit = 1¢).
planstringPlan tier name as published.
plan_slugstringStable tier identifier across editions; renames are tracked in the product’s `formerly` list.
price_usd_monthlynumber | nullPublished monthly price in USD (annual plans normalized to monthly where the vendor states both). Null = not publicly priced (contact us).
included_creditsnumber | nullUnits included per month at that price. Null = unlimited, unstated or custom.
exhaustion_behaviorenum | nullWhat happens when included units run out: hard_stop, overage_opt_in, auto_overage_default, throttle_cap, unstated.
included_expiryenum | nullPolicy for unused included units: expires, rolls_over, never_expires, unstated. (Rollover horizons and notes live in the source YAML, not in the flat export.)
purchased_expiryenum | nullSame convention for purchased top-up units.
top_up_existsenum | nullWhether the plan sells additional units: yes, no, unknown.
top_up_disclosureenum | nullWhere the top-up price is disclosed: pricing_page, help_docs, in_app_only, none.
effective_price_per_creditnumber | null (computed)price_usd_monthly ÷ included_credits, in USD per unit. Null when either input is null or zero — free tiers never contribute a rate.
top_up_unit_pricenumber | null (computed)Cheapest publicly disclosed top-up pack price per unit. Null unless disclosure is pricing_page or help_docs and pack prices exist.
top_up_premium_pctnumber | null (computed)(top_up_unit_price ÷ effective_price_per_credit − 1) × 100. Positive = topping up costs more per unit than the bundle. Null unless both inputs exist.
source_urlsstring (| separated)The vendor pages the observation was read from.
archive_urlsstring (| separated)Wayback (or equivalent) archives of those pages at observation time. Every published observation carries at least one.

Downloads: current view JSON · CSV · Edition 1JSON · CSV. Every export carries its view id, observation window, generation time and licence in its metadata (JSON) or response headers (CSV).

Corrections and updates

A published figure is corrected by adding a dated observation or a dated correction note — never by silently editing a record. Corrections inside an edition window are listed on that edition’s page (Edition 1); coverage and methodology changes are logged on the change log. To report an error, use the contact form with the product, the figure and the vendor page you read.

Cite this research

Publisher
Strategy of Finance (Rohit Agarwal)
Title
The AI Credit Index (current view)
Version
current — moves when a capture lands
Data window
observed 2 Jun – 29 Jun 2026
Page generated
Sample
52 products · 203 plan tiers · 134 bundled rates · 38 top-up premiums
Canonical URL
https://www.strategyoffinance.com/benchmarks/ai-credit-index/
Licence
CC BY 4.0 — reuse with attribution to “Strategy of Finance — The AI Credit Index”. Reuse terms.

For a reference that will not move, cite the edition: Edition 1 — identical to this view today.

Suggested citation

Strategy of Finance (2026). The AI Credit Index (current view) — data observed 2 Jun – 29 Jun 2026; page generated 21 September 2026. https://www.strategyoffinance.com/benchmarks/ai-credit-index/
BibTeX
@misc{sof_ai_credit_index_current,
  author       = {{Strategy of Finance}},
  title        = {The AI Credit Index (current view)},
  year         = {2026},
  month        = {jun},
  howpublished = {\url{https://www.strategyoffinance.com/benchmarks/ai-credit-index/}},
  note         = {Current view; data observed 2026-06-02 to 2026-06-29; accessed 2026-09-21. Licence CC BY 4.0.}
}
JSON CSV Methodology Field definitions Change log