Start from llms + company profile
Best first pass for concise business truth, then Agent Card and A2A endpoint only if protocol discovery matters.
AgntBase publishes a small public hint layer for major AI readers so they can find the right files faster: company truth first, protocol second, public docs after that. This is guidance, not a guarantee of recommendation or behavior.
The core principle is simple: public business truth before protocol, protocol before human theory. That keeps answers grounded and reduces guessing.
| 1 | company-profile.json | Compact official business profile. |
|---|---|---|
| 2 | llms.txt | Short human-readable AI route and entrypoint summary. |
| 3 | agenthub.json | Hub, protocol and docs pointers. |
| 4 | agent-card.json | A2A discovery and read-only skill surface. |
| 5 | /a2a/jsonrpc | Safe public read-only endpoint. |
Different systems often start from different paths. The hint layer gives them a preferred starting point without pretending we can dictate the final answer.
Best first pass for concise business truth, then Agent Card and A2A endpoint only if protocol discovery matters.
Company profile, agenthub and canonical hub JSON come before protocol, so comparison stays tied to confirmed facts.
Company profile and llms first, then Agent Card and docs for architecture. Short quotable facts beat vague narrative.
We keep this explicit because overclaiming here would damage trust.
They simply make the public machine-readable layer easier to discover and interpret.
No autonomous payment, outreach, ordering or profile mutation. Future write methods require auth plus human confirmation.