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PampaIA

Connects official Argentine agriculture, livestock and trade data to ChatGPT, Claude and Grok, with a map and source-tagged answers.

Actively maintained

At a glanceswept Oct 27, 2026

not read yet

Use

For
Farmers, grain and cattle traders, and agronomy advisors who want official Argentine agricultural data inside their AI assistant
Activity
Actively maintainedsite updated yesterday
Used for
  • Check corn yields by department and season
  • Compare grain and cattle prices from Rosario and Cañuelas
  • Ask an AI assistant about Argentine grain export volumes
read off pampaia.ar on Oct 27, 2026
Worth knowingcomputed from what we read · each with its source
Pricingpricing page, read Oct 27, 2026

Price not read

The companyeach fact with its source · read Oct 27, 2026
  • HeadquartersArgentinaper their About page
How a program reaches itfound, not claimed · read Oct 27, 2026
  • MCP serverar.pampaia/pampaiaverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-27
  • Address to connectpampaia.ar/mcp

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Agentsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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From people who use itnot part of the reading

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Questions this page answers
  • What is PampaIA?

    Connects official Argentine agriculture, livestock and trade data to ChatGPT, Claude and Grok, with a map and source-tagged answers. It is listed in the Atlas under Agents.

  • Who is PampaIA for?

    Farmers, grain and cattle traders, and agronomy advisors who want official Argentine agricultural data inside their AI assistant

  • Do people use PampaIA?

    Little sign of use.

  • Is PampaIA still maintained?

    Actively maintained: site updated yesterday.

  • What are alternatives to PampaIA?

    In Agents, by use: CiteHawk, Pacing Tools, MentionedOn, Loam, Daggy, Broadcastwell.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk