Real usage data for agent_review from 1 developers on clawdboard. agent_review is an AI model tracked through clawdboard for coding usage. All costs are estimated from token counts and published Unknown API pricing.
As of April 29, 2026 at 10:39 AM UTC, agent_review ranks #41 out of 50 tracked AI coding models on clawdboard, accounting for 0% of total community spend. 1 developer has used agent_review, generating $0.41 in estimated API cost and 9.5M tokens (516 input, 29.2k output). The average estimated cost per developer is $0.41 (median: $0.41). agent_review has been tracked on clawdboard since November 26, 2025. Data is updated hourly from opt-in developer usage logs.Last updated: April 29, 2026 at 10:39 AM UTC · Refreshed hourly · Tracked since November 26, 2025
Aggregate agent_review usage across all 1 developers who have used this model.
Total Estimated Cost
$0.41
0% of community spend
Total Tokens
9.5M
2% input / 98% output
Developers
1
using agent_review
Model Rank
#41
of 50 tracked models
Detailed breakdown
Avg Cost per Developer
$0.41
median: $0.41
Input Tokens
516
prompt + context
Output Tokens
29.2k
generated responses
Avg Cost per Token
$0.000000
estimated blended rate
How much are developers spending on agent_review each day? This chart shows the 7-day moving average of estimated daily cost and active user count. Spikes often correspond to new version releases or pricing changes.
Not enough daily data available yet for trend analysis.
Developers have consumed 9.5M tokens through agent_review, split between 516 input tokens (prompts, context, files) and 29.2k output tokens (generated code, explanations, edits).
Prompt caching has processed 990.5k cache creation tokens and 8.5M cache read tokens. Cache reads are significantly cheaper per token, reducing the effective cost for developers with repeated context.
The higher output-to-input ratio suggests the model generates more content than it receives, typical for code generation and completion tasks..
Based on data from 1 developers, the average estimated agent_review usage cost is $0.41 per developer (all-time). The median is $0.41, reflecting the gap between occasional and heavy agent_review users.
agent_review accounts for 0% of total community spend across all 50 tracked models, ranking #41 by estimated cost.
These are estimated API-equivalent costs, not actual bills. Most developers use agent_review through subscription-based tools (Claude Code, OpenCode, Codex CLI) with flat monthly pricing. The estimated cost is useful for comparing usage intensity across models and developers.
Compare agent_review with other Unknown models tracked on clawdboard.
Common questions about agent_review usage, cost, and performance data.
Based on data from 1 developers on clawdboard, the average estimated agent_review usage cost is $0.41 per developer (all-time). The median is $0.41. These are estimated API-equivalent costs calculated from token counts and published Unknown pricing — most developers pay flat subscription fees, not per-token billing.
agent_review ranks #41 out of 50 tracked models by total estimated cost, accounting for 0% of all community spend on clawdboard. 1 developers have used agent_review. Higher-tier models often dominate cost share even with fewer users due to higher per-token pricing.
agent_review is an AI model tracked through clawdboard for coding usage. Developers use it through AI coding tools tracked by clawdboard — including Claude Code, OpenCode, and Codex CLI. The token ratio for agent_review is 2% input / 98% output, indicating how developers interact with the model.
All data comes from developers who voluntarily track their AI coding usage through clawdboard. The CLI reads local log files from supported tools on each developer's machine and extracts aggregate token counts and model identifiers. No code, prompts, or conversation content is collected — only token counts and estimated costs.
Individual developers sync their usage every 2 hours by default. The aggregate statistics on this page are recalculated hourly. agent_review has been tracked on clawdboard since November 26, 2025.
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