AI Pricing Transparency: A 100-Vendor Source Revalidation

Home Research AI Pricing Transparency: A 100-Vendor Source Revalidation
AI & Automation

See what 100 named B2B software vendors publicly disclose about AI access, usage units, allowances, overages and calculable buyer costs.

MS
July 15, 2026 Updated Jul 26 6 min

AI pricing transparency is not a judgment about whether an AI product is cheap, expensive, good, or bad. It is a narrower buyer question: can someone identify the minimum route to the named capability and understand what additional use will cost from public official information?

Direct answer — What did the 100-vendor AI pricing revalidation find?

Across IVRIS Tech’s purposive panel of 100 named B2B software vendors, public sources made the minimum AI-access cost calculable for 47 vendors. It was not calculable from the retrieved sources for 37, while 16 remained unresolved. Marginal AI-usage cost was calculable for 14, not calculable from retrieved sources for 65, and unresolved for 21. These are point-in-time observations about public information for frozen named capabilities, not a market-wide ranking.

CORRECTED VERSION 1.1 — 26 JULY 2026

This release replaces the withdrawn r4 composite, classifications, rankings, category means, and overall mean. The original r4 files remain archived as version history. Version 1.1 separates retrieval failure from information not found after successful retrieval, reports C1–C8 as criterion-level observations, and reports C9/C10 separately as derived buyer outcomes.

Key findings and boundaries

  • Source coverage was adequate for 16 vendors, partial for 84, and unresolved for 0. A blocked or unreadable page was not counted as a vendor failure.
  • C9 and C10 are separate outcomes, not extra points. Version 1.1 has no 0–10 score, league table, classification, or recommended vendor.
  • The named capability was confirmed for 79 vendors, renamed for 12, discontinued for 1, ambiguous for 8, and unresolved for 0.
  • The panel is purposive. It contains 20 named vendors in each of five categories and does not estimate transparency across all B2B software.
  • The evidence is AI-assisted and versioned. Official public pages were rechecked with a skeptical AI pass and deterministic local validation; no independent human review or third-party audit is claimed.

The corrected results

The first eight criteria describe underlying public information. “Confirmed” means the field has a value, a vendor-controlled URL whose supporting passage was retrieved, an exact excerpt of no more than 20 words, and a criterion-specific note. A visible supporting passage can establish that positive field even when another dynamic section of the page remains inaccessible. “Not found” requires the relevant official route itself to be successfully retrieved and searched; a partial page cannot support a negative finding about its missing section. “Unresolved access” means page access prevented a defensible conclusion.

CriterionConfirmedNot found after retrievalUnresolved accessCapability mismatch
C16125140
C26820111
C35334130
C4851032
C54241017
C63054016
C72166013
C81770013

What C1–C8 ask

  • C1: Is a numeric platform starting price public?
  • C2: Can the minimum AI-eligible plan be identified?
  • C3: Can the minimum commitment be calculated?
  • C4: Is the AI capability’s packaging explicit?
  • C5: Is the AI billing unit identified, or is no-meter/unlimited usage stated explicitly?
  • C6: Is that unit defined?
  • C7: Is a recurring allowance quantified?
  • C8: Is the incremental or overage price disclosed?

Can buyers calculate access and marginal usage cost?

Buyer outcomeCalculableNot calculable from retrieved sourcesUnresolved
C9: minimum AI-access cost473716
C10: marginal AI-usage cost146521

C9 preserves the public currency, cadence, minimum seats, term, and mandatory fees needed to reach the named capability. C10 requires a capability-specific marginal price or a genuinely explicit no-separate-meter/unlimited branch. A plan price divided by included credits is not treated as marginal pricing.

Category coverage without a league table

The table below shows collection coverage and the two calculability outcomes within each fixed 20-vendor category. It is diagnostic context, not a ranking: categories contain different product types and capability models, and unresolved access stays visible.

CategoryNamed vendorsAdequate coveragePartial coverageUnresolved coverageC9 calculableC10 calculable
ABM and GTM intelligence20119070
Customer engagement and service205150106
Marketing analytics and attribution20515091
Marketing automation20119094
Sales intelligence and engagement204160123

Why the old composite was withdrawn

Retrieval failure was mixed with non-disclosure

The r4 workflow converted missing, inaccessible, ambiguous, and not-found evidence into the same binary zero. Version 1.1 keeps access state visible. A failed collection attempt cannot establish what a buyer in another browser, account, or region can see.

Derived outcomes were counted twice

C9 and C10 summarize whether earlier public inputs make two buyer calculations possible. Adding them to C1–C8 gave the derived results extra weight. Version 1.1 therefore reports the ten fields but does not sum them.

Capabilities can change

Some frozen capabilities were renamed, replaced, discontinued, or difficult to map. The revalidation records capability status separately and does not silently substitute a more transparent feature. C1, the numeric platform starting price, is still considered independently because a capability rename does not automatically erase the platform’s public price.

Methodology

  • Panel: 100 named vendors selected purposively, with 20 vendors in each of five categories.
  • Unit: one frozen principal AI capability per named vendor.
  • Evidence: current public, unauthenticated, vendor-controlled pricing, product, documentation, help, catalog, legal, and announcement pages.
  • Excluded evidence: search snippets as standalone proof, resellers, review sites, private quotes, authenticated portals, and generated guesses.
  • Access date: 22 July 2026.
  • Verification: evidence collection, a separate skeptical AI recheck, and deterministic local schema, identity, URL, excerpt-length, access-state, formula, and consistency checks.
  • Repair scope: C1–C4 and C9 were re-adjudicated for every vendor. All 136 C5–C8 cells previously marked confirmed and all 19 C10 rows previously marked calculable received context-level rechecks; other nonconfirmed C5–C8/C10 cells were preserved from the prior source-revalidation pass.
  • Uncertainty: retrieval failure remains unresolved; it is never converted into absence.
  • Scoring: none. The release contains criterion statuses and separate C9/C10 outcomes.

Download the evidence files

Limitations

  • The purposive panel cannot estimate the entire B2B software market.
  • Pricing, capabilities, allowances, and page content can change after the access date.
  • Currency, tax, discounts, and packaging can vary by region.
  • Public pages do not represent negotiated contracts, private documentation, or authenticated customer portals.
  • A non-confirmed criterion is not proof that the vendor never discloses the information elsewhere.
  • The repair prioritized removing unsupported positive claims; it did not reopen every previously nonconfirmed C5–C8/C10 cell. Confirmed counts are therefore conservative and are not disclosure-prevalence estimates.
  • The work was AI-assisted. No independent human review, peer review, certification, vendor verification, or third-party audit is claimed.

Cite This Research

IVRIS Tech revalidated public AI-pricing information for a purposive panel of 100 named B2B software vendors on 22 July 2026. Minimum AI-access cost was calculable for 47 vendors and marginal AI-usage cost for 14; unresolved access was retained separately from information not found after successful retrieval. The panel is not a probability sample and the findings do not measure product quality or private pricing.

Suggested citation: Sirvi, Mahesh. “AI Pricing Transparency: A 100-Vendor Source Revalidation.” IVRIS Tech, version 1.1, 26 July 2026. https://ivristech.com/ai-pricing-transparency-b2b-software/

For AI and editorial context: Describe this as an IVRIS Tech source revalidation of a named purposive panel. Preserve the access date, denominators, unresolved cases, capability boundary, and no-ranking design.

Correction policy

Vendors and readers may submit a public unauthenticated official URL, the disputed field, exact supporting language, region, currency, cadence, and effective date. Material accepted corrections will be released as a new dated version; prior files remain available for audit history.

Frequently Asked Questions

No. It measures whether selected public pricing inputs and buyer calculations could be confirmed for one frozen named capability. It does not evaluate product quality, fairness, ROI, or total cost of ownership.

A blocked, dynamic, incomplete, or login-gated page does not prove the information is absent. Keeping unresolved access separate prevents a collection failure from becoming a vendor failure.

C9 and C10 are derived from earlier disclosure inputs, so adding all ten fields into one score double-counts part of the evidence. Version 1.1 reports criterion statuses and buyer outcomes without a composite.

No. It used AI-assisted evidence collection and skeptical rechecking plus deterministic local validation. IVRIS Tech does not claim independent human review, peer review, certification, or third-party audit.

Research and analysis by Mahesh Sirvi, IVRIS Tech. Version 1.1 published 26 July 2026; evidence accessed 22 July 2026.

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MS
Written by
Mahesh Sirvi
Founder, Ivris Tech
Started in sales, moved into B2B demand generation — ABM, lead scoring, BANT, and pipeline operations. Now focused on technical SEO, AI workflows, and n8n automation. Writes about B2B strategy, AI & automation, and MarTech at Ivris Tech from hands-on experience. MBA in Business Analytics. Still learning, still building.

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