Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/ad-superpowers/ad-superpowers-plugin/market-sizinggit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/market-sizing)<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/market-sizing"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/market-sizing.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00040 | $0.03065 |
| Opus 5 | $0.00020 | $0.01533 |
| Sonnet 5 | $0.00008 | $0.00613 |
| Haiku 4.5 | $0.00004 | $0.00307 |
Grade A, and why
market-sizing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platforms: meta, google_ads, linkedin, tiktok Tier: pro
This command requires the Ad Superpowers MCP connector to access your ad account data. Connect at https://app.adsuperpowers.ai if you haven't already.
TAM/SAM/SOM Market Sizing Analysis
Calculate market opportunity for [specify company_name] in [specify industry].
Overview
This workflow helps agencies and advertisers understand the true market opportunity for strategic budget planning. Combines research data with advertising platform estimates.
Parameters
- Company: [specify company_name]
- Industry: [specify industry]
- Target Geography: Netherlands
- Target Market: [specify target_market_description]
- Product Category: Not specified
- Currency: EUR
PHASE 1: Market Research
Research Prompts
Prompt 1 - Market Size Data:
Research market size for [specify industry] in [specify target_geography]:
- Total market value ([specify currency]) 2024-2026
- Number of potential customers/businesses
- Market growth rate (CAGR)
- Key market segments
- Sources: Statista, IBISWorld, industry reports, government data
Prompt 2 - Industry Benchmarks:
Find advertising benchmarks for [specify industry] in [specify target_geography]:
- Average CPC/CPM by platform (Meta, Google, LinkedIn, TikTok)
- Average conversion rates
- Customer acquisition costs (CAC)
- Lifetime value benchmarks (LTV)
- Advertising spend as % of revenue (industry average)
Prompt 3 - Competitor Ad Spend:
Estimate competitor advertising spend in [specify industry]:
- Top 5 advertisers in the space
- Estimated monthly ad spend
- Primary advertising channels
- Share of voice estimates
PHASE 2: Platform Audience Estimates
Use platform tools to get audience size estimates:
Meta Ads (Reach Estimates):
If Meta Ads connected, use Audience Manager reach estimates for:
- Demographics: [target demographics]
- Interests: [[specify industry]-related interests]
- Behaviors: [relevant behaviors]
- Geography: [specify target_geography]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 346 lines · 40 tokens per session scan A 8902c1b844e3
market-sizing is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 7d ago), licensed MIT. It adds 40 tokens to every session and 3,065 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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meta-audit
Full Meta Ads account audit, tailored to ecommerce or lead-gen automatically.
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First-run setup for the ga-mcp-full MCP server — install the CLI if needed, then complete the browser login.
auth-logout
Clear cached Google Analytics OAuth credentials for the ga-mcp-full MCP server.
ad-brief
Generate a production-ready creative brief from a scripted Pipeline ad. Includes shot list, filming card, B-roll suggestions, text overlay specs, and equipment notes. Ready to print and film.
ad-polish
Strip AI patterns from ad copy and scripts. Makes text sound like a real person wrote it, not a language model. Run on any Pipeline record before launch.