Free entry is near-universal: 39 of 46 direct AI observability tools give it away, so price the platform flat and meter events

Asked:

“How should I price my AI observability product? Collect data for at least 100 products.”

A scan of 119 named products across five segments — direct AI/LLM observability and evaluation, AI gateways and proxies, adjacent developer observability, data observability, and other adjacent tools — assembled from 2,168 unique search results and official pricing pages, current as of 2 September 2026. Prices in USD per month unless noted.

How each segment prices, at a glance

Share of products in each segment publishing each pricing signal; sample size labelled per segment
free optionpublic entry priceusage priceenterprise option

Recommended launch ladder

One event = one model call, tool call, retrieval step, evaluator run, or agent operation. Viewers are always free; only core builder/admin seats count. Managed evaluation / model-judge compute is metered separately at cost plus margin.

What the benchmark says

Official-page spot checks

Current anchors read directly from vendor pricing pages — a spot check of 13 vendors, not the full market. Value metrics (spans, units, events, hours) are not directly comparable.
ProductStarter planStarter $/moUsage rateValue metricSource

All 119 products

Direct AI observability & evaluation rows carry an orange edge. Blanks are unresolved cells, preserved as collected.
ProductSegmentFree optionEntryUsageHigher planEnterpriseBasisSrc

Method: 119 distinct products collected from a web scan of 2,168 unique search results (official pricing pages, vendor comparisons, roundups, docs, market maps), current as of 2026-09-02. Segment adoption counts are precomputed per segment. Usage metrics differ by vendor — events, spans, units, requests, GB, tracked hours — and are not normalized here; some prices are in EUR as published. Blank cells are unresolved, not zero. Pricing changes quickly; verify third-party quotations before procurement. Table columns for source-mention counts and detail scores were folded into the "Src" mention count for space.

This report was generated automatically by Keenable SELECT at a user's request, from publicly available web sources linked herein. Keenable does not review, verify, or endorse its contents and makes no representation as to accuracy, completeness, or timeliness; AI-based extraction may contain errors. Nothing in this report is investment, legal, financial, or other professional advice. All trademarks and referenced content remain the property of their respective owners; no affiliation or endorsement is implied. To report an error, rights concern, or request removal: legal@keenable.ai.

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