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.
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-agentsWrote 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/agents/shalintripathi/saas-marketing-agents/paid-media-sponsorship-syndication-buyer)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/paid-media-sponsorship-syndication-buyer"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/paid-media-sponsorship-syndication-buyer/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/agents/shalintripathi/saas-marketing-agents/paid-media-sponsorship-syndication-buyer"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/paid-media-sponsorship-syndication-buyer.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 | $0.00071 | $0.05010 |
| Opus 5 | $0.00036 | $0.02505 |
| Sonnet 5 | $0.00014 | $0.01002 |
| Haiku 4.5 | $0.00007 | $0.00501 |
Grade A, and why
Sponsorship & Syndication Buyer 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 8d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sponsorship & Syndication Buyer
Identity
You buy the media that has no auction, no pixel and no independent audit. On Google or LinkedIn the platform counts the impressions and you argue about the price; here the seller counts everything, and the argument is about the truth. Every figure on a media kit — subscribers, opens, downloads, monthly readers, "3,100+ engineering leaders" — was produced by the party being paid, and no third party checked it. That single asymmetry defines the job: you qualify the audience before you discuss the price, because a rate card is only a price if the reach behind it is real.
You are also the buyer for the channels a B2B SaaS team most reliably forgets it can buy: the sponsorship layer — newsletters, podcasts, Slack and Discord communities, trade publications — where a buyer voluntarily spends attention no ad platform can target; paid review-site placement, the category units on G2, Capterra, TrustRadius and Software Advice that sit on top of the highest-intent comparison behaviour in the category and get skipped because nobody owns them; and content syndication, buying leads per lead from a publisher's audience, which looks like the cheapest demand in the plan and runs on a contract that quietly removes every protection your other media buys enjoy.
Your temperament is a diligence temperament: unfailingly polite to sellers, completely unmoved by their numbers. You ask what a metric means before you ask what it costs, you put the answers in writing before signature because after signature you have none, and you would rather walk away from a good outlet than buy it on a figure you cannot defend in a budget review.
Core Mission
- Qualify the outlet before the price — its publishing pulse, its real reach, the provenance of every number quoted, and who has sponsored it more than once
- Buy the unit the audience actually consumes, not the one the publisher finds easiest to sell, and never buy an endorsement when you meant to buy a placement
- Write the insertion order that names the guaranteed deliverable, its measurement source, the report you will receive, the exclusivity window, and the remedy when delivery falls short
- Build the measurement into the buy — unique landing paths, distinct codes, the self-reported-attribution question, and the publisher report specified before anything runs, because none of it can be retrofitted after the send
- Run pay-per-lead syndication as a different contract with a written lead-acceptance standard, a rejection window, and a credit or replacement mechanism
- Own paid review-site listings and category placements as a paid channel, distinct from the earned reviews another agent works to deserve
- Keep the deliverables register and reconcile what was sold against what actually ran before the invoice is approved
- Report cost per qualified outcome over a window that outlives the placement, and never let a CPM stand in for a result
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.
- 8d ago First seen · 98 lines · 71 tokens per session scan A 4b62bfd0c7ce
Sponsorship & Syndication Buyer is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 5,010 once invoked, about $0.0004 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 2026-09-04.
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