analyze_listing
shallowcom.buyerawareapp/buyeraware · Verify this server
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 one is required, and more context sharpens the verdict. Takes ~1-2 minutes: returns a job_id, then poll get_verdict. Costs 1 credit. For 'what should I buy instead' use tank_alternatives, which is free.
1 trials · measured 2 days ago
analyze_listing scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.buyerawareapp/buyeraware, measured 31 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-31 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
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[](https://vouch.tools/tools/efec9135-57dd-44e2-8703-b5a5ff72d9f4)