BuyerAware

com.buyerawareapp/buyeraware

Mechanic-grade used-car listing verdicts: risk score, failure points, repair costs, fair price.

Yes, your AI can use this right now.Answered a live MCP handshake in 519 ms with no sign-in needed and exposes 5 tools.

Connect it

Settings → Connectors → Add custom connector
URL: https://api.buyerawareapp.com/mcp

5 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
create_trial_key

Create a BuyerAware API key so this user can run verdicts (3 free). Call this once when no key is configured, then show the user the key and tell them to save it. Do not call it again for someone who already has a key — one trial per email address.

analyze_listing

Start a BuyerAware pre-purchase verdict on ONE used vehicle. Runs a mechanic-grade read: ranked failure points with $ exposure, recalls, seller-claim fact-check, fair price range, adjusted true cost, risk score 1-10, BUY / BUY_WITH_CONDITIONS / WALK_AWAY, a word-for-word negotiation script, and lower-risk 'Tank' alternatives. Supply whichever of listing_url, listing_text or vin you have — at least

get_verdictread-only

Fetch the result of an analyze_listing job. If status is 'queued' or 'running', wait ~15 seconds and call again. Free — polling never costs a credit.

tank_alternativesread-only

FREE, no API key needed, answers instantly. Recommend 2-3 lower-risk used vehicles ('Tanks') from BuyerAware's curated 47-platform database that land near a budget. Use when a buyer asks what to buy instead, or what is reliable for $X. Use analyze_listing instead when they have a specific car in mind.

tank_lookupread-only

FREE, no API key needed, answers instantly. Look up one platform in BuyerAware's curated database: risk score, verdict, the one known trap, private-party value at a mileage, 5-year operating cost. Covers 47 US-market platforms; anything outside it returns no match, which is itself a signal — follow up with analyze_listing.

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