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 skills add luispintoapify/ecommerce-agent-starter --skill apify-product-data-setupgit clone --depth 1 https://github.com/luispintoapify/ecommerce-agent-starterWrote 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/skills/luispintoapify/ecommerce-agent-starter/apify-product-data-setup)<a href="https://agentmods.dev/skills/luispintoapify/ecommerce-agent-starter/apify-product-data-setup"><img src="https://agentmods.dev/badge/skills/luispintoapify/ecommerce-agent-starter/apify-product-data-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/luispintoapify/ecommerce-agent-starter/apify-product-data-setup"><img src="https://agentmods.dev/badge/skills/luispintoapify/ecommerce-agent-starter/apify-product-data-setup.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00132 | $0.01735 |
| Opus 5.5 | $0.00053 | $0.00694 |
| Sonnet 5.5 | $0.00026 | $0.00347 |
| Haiku 4.5 | $0.00013 | $0.00173 |
Grade A, and why
apify-product-data-setup 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 1mo 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.
This is a copy
88% identical to apify-product-data-setup — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apify product data setup
Connect an agent to current product data: price, stock, brand, rating, and image URLs from retailer pages. Nothing to host.
Written by a product marketing manager at Apify. It routes to E-commerce Scraping Tool, a paid first-party Apify Actor, so treat the framing accordingly. No affiliate links.
Choose the path first
The two paths are not interchangeable and the cost model is what separates them.
| Runtime call | Scheduled refresh | |
|---|---|---|
| When | The answer must be true right now, few products | A catalog answered from repeatedly |
| Transport | MCP | REST API |
| Cost shape | A start event per call, plus per product | One start event per batch |
| Latency the user feels | Seconds to tens of seconds | None, the index is already warm |
Most production setups want both: a scheduled refresh for breadth, plus a runtime call to verify a single item when the user asks for a price they will act on.
A cron job gains nothing from MCP, so the scheduled path uses the REST API. Say so when explaining the design, because the mismatch looks like an oversight otherwise.
Connect over MCP
The server is https://mcp.apify.com. Narrow it to this Actor with ?tools=apify/e-commerce-scraping-tool, which makes tool selection more reliable when product data is the only job. Drop the parameter to let the agent search all of Apify Store at runtime.
Config blocks per client are in references/clients.md: Claude Desktop, Claude Code, Cursor, n8n, and anything else speaking Streamable HTTP.
Authentication: OAuth on first use for interactive clients, a bearer token from Apify Console for unattended ones.
Encode the fetch flow
Fetching products is two calls, and sometimes three. This is the single most important thing to get into the agent's instructions:
apify--e-commerce-scraping-toolreturns run metadata and adatasetId. No products.- If
statusis notSUCCEEDED, pollget-actor-runwith therunIduntil it is. The Actor tool returns when its own wait window elapses rather than when the run finishes, soRUNNINGis a normal answer and the dataset is empty at that moment. get-dataset-itemsreturns the products. Passfieldsin dot notation: the unprojected record measured about 88 KB across 142 fields, and projecting keeps that out of the context window.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 102 lines · 132 tokens per session scan A 10b4962a9b2f
apify-product-data-setup is a skill published in the GitHub repository luispintoapify/ecommerce-agent-starter (3 stars, last pushed 1mo ago), licensed MIT. It adds 132 tokens to every session and 1,735 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to apify-product-data-setup, differing in 15 lines, and is treated as a copy.
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