Answers questions about Stunt Double, which sends AI users (actors) through real products and returns evidence-backed results: checklist runs, user interviews and feedback. Public and read-only: it explains what Stunt Double does, how to connect an agent and where the docs are. Workspace actions go…
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"stunt-double-docs-agent","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Not distributed through a package registry we index.
| when | check | result | http | latency | detail |
|---|---|---|---|---|---|
| 1 h ago | a2a card | ok | 200 | 23 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
| 8 h ago | a2a card | ok | 200 | 59 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
| 15 h ago | a2a card | ok | 200 | 22 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
| 21 h ago | a2a card | ok | 200 | 18 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
| 27 h ago | a2a card | ok | 200 | 25 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
| 34 h ago | a2a card | ok | 200 | 42 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
| 2 d ago | a2a card | ok | 200 | 29 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
| 2 d ago | a2a card | ok | 200 | 37 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
| 2 d ago | a2a card | ok | 200 | 31 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
| 3 d ago | a2a card | ok | 200 | 33 ms | protocol 0.3 · card: Stunt Double docs agent · 4 skills |
Attributed to the source that supplied each field. Treated as claims, not facts.
Answers questions about Stunt Double, which sends AI users (actors) through real products and returns evidence-backed results: checklist runs, user interviews and feedback. Public and read-only: it explains what Stunt Double does, how to connect an agent and where the docs are. Workspace actions go through the product MCP server.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.