Pawlo lets businesses publish current hours, offers, availability, policies, events, and specialties once. Connected AI agents can fetch that verified data through MCP/API, so local recommendations stay accurate and specific.
You
"Find me a dog daycare in Calgary that's patient and caring with shy dogs"
Pawlo
Riverside Pet Daycare is your best match. Shy dog specialists, individual intro days, kennel-free, outdoor potty breaks, daily pack walks. Space this week.
MCP Protocol
Pawlo exposes a Model Context Protocol server your agents can query directly. Fetch structured profiles, offers, menus, events, and availability without scraping stale pages.
// Find a matched provider in milliseconds
{
"name": "fetch_deals",
"arguments": {
"sector_id": "/food/restaurant",
"location": "Calgary",
"attributes": {
"cuisine": "Italian"
}
}
}Response · 8ms
3 restaurants matched · Hillside Bistro, Calgary · Full identity returned — no match required.
AI assistants can only answer with the data they can reach. The problem is not that your information is hidden; it is that it changes faster than crawlers, directories, and cached search results can keep up.
Pawlo gets updates directly from businesses, structures them, and makes them queryable for connected agents. No scraping loop, no stale listing, no guessing.
Current specials, inventory pushes, and timely opportunities.
The real answer, not what Google cached three months ago.
What's available this week — not what was true last season.
Web Scraper
name: Hillside Bistro
phone: 587-555-0172
hours: Mon–Sun 11am–10pm
rating: 4.6 ★
Pawlo
name: Hillside Bistro
hidden_strength: "Walk-ins welcome until 9pm"
wants_more_of: "Date night reservations"
tonight_signal: "Prix fixe menu, $65/head"
expires_at: "2026-02-28"
The Hallucination Tax
When AI cannot find current structured data about a business, it often fills the gap from stale pages, old listings, and generic summaries. Wrong hours, outdated menus, invented specialties, and stale prices all come from the same source: local data that is not kept fresh.
AI tells a customer you're open until 10pm. You closed at 8. They drive across town for nothing. You get the 1-star review.
AI claims you specialize in exotic breeds. You don't. The customer arrives expecting expertise you never advertised.
AI quotes last year's pricing. Customer expects $40. You charge $65. Trust is gone before the conversation starts.
Pawlo reduces the guesswork. When agents can fetch verified, current data, they can answer with your real hours, prices, policies, availability, and specialties.
Update Velocity
Your update doesn't just need to be fast — it needs to reach the AI directly, because the user never will.
Traditional channels
Total: 3–6 weeks before AI knows
Pawlo
Total: < 5 minutes
Organizer posts on Facebook and hopes the algorithm shows it. AI assistants may never see it.
Organizer sends Pawlo the details. Connected agents can find it immediately.
GBP still shows the old policy six months later. AI tells customers the wrong thing.
One message. Corrected in Pawlo and available to connected agents the same day.
OTAs don't handle time-bounded nuance. It's buried in a blog post nobody reads.
Live in December. Expired in March. Agents using Pawlo see the seasonal version.
For AI Builders
→ /food/restaurant
→ 3 deals matched · full identity returned
→ automotive & wholesale only · match fee billed
For AI Builders
Your AI product needs local data to answer recommendation, availability, and discovery questions. Pawlo delivers structured business data through MCP/API.
For Business
Join free. Send your hours, offers, availability, and policies however works best. When agents using Pawlo know the current version, they can recommend you accurately.
Give agents the local business data they need to answer clearly: current, structured, and sourced from the people who know it.
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