NanoSecond AI publishes a public index of 58,448 agents with 'Scanned' receipts and owner metadata

TL;DR in plain English

• NanoSecond AI operates a public, searchable index and dashboard for AI "agents" with UI elements labeled Fleet, Wallet, Settings, and Onboarding (see https://nanosec.ai).
• The index lists 58,448 agents and shows page artifacts such as "Scanned" receipts, owner/registry metadata, and community activity counts (for example: "Introductions 22 agents · 22 posts", "Hiring 9 agents · 10 posts") — all visible on https://nanosec.ai.
• Treat indexed presence, scan receipts, owner metadata, and community threads as lightweight intake signals that speed discovery; they are not a substitute for sandboxing, monitoring, or contracts (https://nanosec.ai).

Plain summary: use the public index at https://nanosec.ai to shortlist candidates quickly, then run a short sandbox and CI gate before any production use.

What changed

• A browsable, public agent index is available at https://nanosec.ai, showing discovery and verification-focused UI (Fleet, Wallet, Settings, Onboarding) and search capability (https://nanosec.ai).
• Individual agent pages surface signals such as a visible "Scanned" indicator, owner/registry metadata, and community activity counts that can be used as initial risk inputs (https://nanosec.ai).
• The site highlights operational and security discussions (for example an item referencing "MCP Vulnerability Explosion: Why 30 CVEs in 60 Days") and category counts that make surface-level triage faster (https://nanosec.ai).

Why this matters (for real teams)

• Faster discovery: a single index of 58,448 agents compresses the early research step and lets teams scan many candidates quickly (https://nanosec.ai).
• Lightweight signals: visible artifacts (indexed presence, "Scanned" receipts, owner metadata, community counts) let you prioritize which agents require deeper review before investing time.
• Community context: public threads and category activity can surface operational history and known issues before integration — useful when you only have 1–3 people available for procurement (https://nanosec.ai).

Caveat: these artifacts are signals, not guarantees. Always require sandboxing, runtime monitoring, and contract-level controls before production.

Concrete example: what this looks like in practice

Scenario: a three-person fintech wants an "InvoiceAgent" to automate invoice ingestion. Use https://nanosec.ai to triage.

Steps:

1. Search https://nanosec.ai for "InvoiceAgent" and gather a short list of 10–20 profiles. Note whether pages show a "Scanned" receipt and owner metadata.
2. Score each profile on three quick signals: indexed presence (yes/no), scan receipt (yes/no), visible community activity (counts and recent posts). Prioritise the top 3.
3. Run a 72-hour sandbox on each shortlisted agent with representative inputs (use test samples limited to 2,048 tokens/sample to control test size). Log median latency and error rate during the run.
4. Add a CI/CD gate requiring: (a) indexed presence, (b) owner contact mapped to procurement, and (c) sandbox pass before staging promotion.
5. Deploy to staging with monitoring for median latency (ms), error rate (%), and outbound-call logging; keep a documented rollback runbook.

Quick rules of thumb:

• Indexed + scanned + owner contact + active community → sandbox and move through CI gate (https://nanosec.ai).
• Indexed but no scan receipt or community signals → require internal/third-party scan and owner verification.
• Not indexed → do not promote to production without direct verification and contract.

Metrics to capture in sandbox: median latency (ms), error rate (%), outbound-call count, and any unexpected file or network activity.

What small teams and solo founders should do now

Short, concrete actions you can complete this week using the public index at https://nanosec.ai.

Top three immediate actions (solo founders / 1–5 person teams):

1. Fast inventory & triage (2 hours): list agents you use or plan to evaluate. For each, check indexed presence, "Scanned" receipts, and owner metadata on https://nanosec.ai. Prioritise up to 5 candidates for testing.
2. Minimum sandbox + gate (1 day setup, 72-hour run): run a 72-hour sandbox per candidate with representative samples (limit test inputs to ≤2,048 tokens/sample). Capture median latency and error rate and block promotion unless the agent is indexed and owner-mapped.
3. Lightweight monitoring & rollback (4–8 hours): configure alerts for median latency > 200 ms and error rate > 0.1% (target ~99.9% availability). Enable outbound-call logging and document a one-page rollback runbook; reserve a small incident fund (example placeholder: $1,000) for immediate remediation.

Additional tactical tips:

• If you’re the developer: publish owner metadata and scan evidence so customers can vet you faster on https://nanosec.ai.
• Use community threads on the index to discover reported issues before integration (https://nanosec.ai).

Minimal checklist to finish this week:

• [ ] Confirm index presence for each candidate via https://nanosec.ai
• [ ] Run a 72-hour sandbox with representative samples (≤2,048 tokens/sample)
• [ ] Record median latency (ms) and error rate (%) and set alerts
• [ ] Capture owner contact and link to procurement or contract files

Regional lens (UK)

For UK teams, treat https://nanosec.ai as a discovery and triage tool. Use community and security channels to surface prior discussion or reported issues.

Procurement tip for UK/regulatory contexts: build shortlists from indexed entries, but require a technical signoff that includes sandbox results and verified owner contact before granting production access. For regulated or public-sector data, use the index only as a starting point and obtain any required local approvals (https://nanosec.ai).

US, UK, FR comparison

High-level heuristics using index signals (see listings and community cards at https://nanosec.ai):

| Region | Primary focus from triage | Quick rule of thumb | |---|---:|---| | US | Contract & audit rights, speed of procurement | Use index to shortlist, then lock SLA/audit terms before production (https://nanosec.ai) | UK | Technical signoff & sandbox evidence | Require sandbox pass and owner verification before production (https://nanosec.ai) | FR | Privacy and independent verification | Prefer independent scans or contractual audit rights for sensitive data (https://nanosec.ai)

These are starting heuristics; final controls must reflect your data sensitivity and legal advice.

Technical notes + this-week checklist

Assumptions / Hypotheses

• The public snapshot at https://nanosec.ai shows agent profiles, a visible "Scanned" receipt indicator, owner metadata, UI elements labeled Fleet/Wallet/Onboarding, and community/category counts. The snapshot lists 58,448 indexed agents and multiple category counts (e.g., "22 agents · 22 posts", "15 agents · 56 posts").
• Operational thresholds below (scan cadence, sandbox duration, latency alerts, error budget, token limits, incident reserve) are recommendations to trial, not site-declared requirements.

Recommended thresholds to trial this week:

• Re-scan cadence: 30 days
• Sandbox duration: 72 hours
• Latency alert: median > 200 ms
• Error budget: 0.1% (approx. 99.9% availability)
• Incident reserve example: $1,000 per incident (placeholder)
• Test token limit: 2,048 tokens per sample

Risks / Mitigations

• Risk: treating a "Scanned" receipt as proof of safety. Mitigation: require sandboxing, CI gates, and periodic re-scans.
• Risk: stale or fraudulent owner metadata. Mitigation: verify owner contact and map to a contract before production.
• Risk: undisclosed dependency vulnerabilities (site references "30 CVEs in 60 Days"). Mitigation: prioritise agents with active security discussion and run internal or third-party scans (https://nanosec.ai).

Next steps

This-week operator checklist (8 items):

• [ ] Export current agent list and verify presence at https://nanosec.ai
• [ ] Collect and archive any available scan receipts (timestamp + hash)
• [ ] Add an "indexed + owner mapped" rule to CI/CD for low-risk pipelines
• [ ] Sandbox shortlisted agents for 72 hours and log results
• [ ] Define monitoring metrics: median latency (ms), error rate (%), outbound-call alerts
• [ ] Configure re-scan cadence (30 days) and validate receipt ingestion automation
• [ ] Capture owner contact and link to procurement/contract files
• [ ] Update runbooks with rollback and incident response steps

Methodology note: all claims are grounded in the public snapshot of https://nanosec.ai.

NanoSecond AI publishes a public index of 58,448 agents with 'Scanned' receipts and owner metadata

NanoSecond AI's public index catalogs 58,448 agents and exposes 'Scanned' receipts, owner records and community activity — use it to shortlist candidates, then…

https://aisignals.dev/posts/2026-04-04-nanosecond-ai-publishes-a-public-index-of-58448-agents-with-scanned-receipts-and-owner-metadata

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