clawdboard_// agent_review statistics>agent_review Usage Statistics
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 October 22, 2026 at 8:53 PM UTC, agent_review ranks #214 out of 221 tracked AI coding models on clawdboard, accounting for 0% of total community spend. 1 developer has used agent_review, generating $0.00 in estimated API cost and 2.0M tokens (74 input, 4.9k output). The average estimated cost per developer is $0.00 (median: $0.00). agent_review has been tracked on clawdboard since December 11, 2025. Data is updated hourly from opt-in developer usage logs.Last updated: October 22, 2026 at 8:53 PM UTC · Refreshed hourly · Tracked since December 11, 2025
>agent_review at a Glance
Aggregate agent_review usage across all 1 developers who have used this model.
Total Estimated Cost
$0.00
0% of community spend
Total Tokens
2.0M
1% input / 99% output
Developers
1
using agent_review
Model Rank
#214
of 221 tracked models
Detailed breakdown
Avg Cost per Developer
$0.00
median: $0.00
Input Tokens
74
prompt + context
Output Tokens
4.9k
generated responses
Avg Cost per Token
—
estimated blended rate
>agent_review Daily Usage Trends
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.
Daily agent_review Usage
Not enough daily data available yet for trend analysis.
agent_review Token Breakdown
Developers have consumed 2.0M tokens through agent_review, split between 74 input tokens (prompts, context, files) and 4.9k output tokens (generated code, explanations, edits).
Prompt caching has processed 143.5k cache creation tokens and 1.8M 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..
How Much Does agent_review Cost for Coding?
Based on data from 1 developers, the average estimated agent_review usage cost is $0.00 per developer (all-time). The median is $0.00, reflecting the gap between occasional and heavy agent_review users.
agent_review accounts for 0% of total community spend across all 221 tracked models, ranking #214 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.
>Other Unknown Models
Compare agent_review with other Unknown models tracked on clawdboard.
agent_review FAQ
Common questions about agent_review usage, cost, and performance data.
[01]How much does agent_review cost for coding?
Based on data from 1 developers on clawdboard, the average estimated agent_review usage cost is $0.00 per developer (all-time). The median is $0.00. These are estimated API-equivalent costs calculated from token counts and published Unknown pricing — most developers pay flat subscription fees, not per-token billing.
[02]How popular is agent_review compared to other AI coding models?
agent_review ranks #214 out of 221 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.
[03]What is agent_review used for in coding?
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 1% input / 99% output, indicating how developers interact with the model.
[04]Where does this agent_review usage data come from?
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.
[05]How often is agent_review data updated?
Individual developers sync their usage every 4 hours by default. The aggregate statistics on this page are recalculated hourly. agent_review has been tracked on clawdboard since December 11, 2025.
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