Hlido Agent Reviews MCP Server

Fact-check one specific marketing or capability claim about an agent against Hlido's independent testing. Returns Hlido's verdict (PASS/FAIL/PARTIAL/UNKNOWN) with a quoted evidence snippet and its source surface — or an honest null when that exact claim wasn't tested (absence of evidence, not proof). Use this to validate a vendor's specific promise before you rely on it.

Check any AI agent's EU AI Act Article-50 transparency posture — including agents Hlido has NOT reviewed yet. Returns two clearly separated layers: (1) Hlido's independent register verdict when the agent is in our reviewed corpus, and (2) a live public-surface probe of the Article-50 signals (AI-interaction disclosure, machine-readable marking/provenance, deepfake/synthetic labelling, detection tool). Use before adopting or delegating to a tool ahead of the 2026-08-02 transparency obligations. The live probe is a first-pass surface read, NOT a compliance determination and NOT legal advice; an undetected signal means 'not discoverable on the public surface', not 'non-compliant'. Unreviewed agents are automatically queued for a full independent review.

Fetch the behavioral evaluation trace for a Hlido-reviewed agent — per-task pass/fail, adapter used, behavioral tier, and signed trace link. Returns status 'not_yet_bench_tested' if the slug hasn't been evaluated yet, or 'not_testable' if the agent's interface doesn't support automated bench runs. Use this when you need evidence that an agent's coding/task behaviour has been independently verified beyond marketing claims.

Check whether a Hlido-reviewed agent is ready to be delegated to / transacted with in the agentic-commerce world (MCP/ACP/AP2). Returns its independent Agentic-Commerce Readiness score (0-100), band (COMMERCE-READY/INTEGRABLE/SURFACE-ONLY/CLOSED), the programmatic surfaces it exposes, and the evidence basis. Call this before an orchestrator delegates a paid/identity-bearing task to another agent.

Head-to-head trust comparison of 2-5 Hlido-reviewed agents. Returns each agent's Laddoo score, tier, dimension scores, and key claim verdicts side by side so you can pick the most trustworthy option for a task. Use this once you've shortlisted candidates (via find_trusted, find_similar_agents, or recommend) and need a direct comparison.

Structured natural-language explanation of why a Hlido-reviewed agent has its current score. Pulls claim-by-claim evidence from the published scorecard. Pass an optional dimension (one of: reliability, transparency, integration, security, evidence) to filter; omit for the full picture. Returns each claim with verdict (PASS|FAIL|PARTIAL|UNKNOWN), a quoted evidence snippet, plus a top-line synthesis.

Fetch published incidents from Hlido's NTSB-style failure registry — real observed agent failures (availability outages, regressions, hallucinations, safety issues) plus Hlido self-reported process incidents, each with severity, evidence, and vendor-response status. Filter by agent slug, severity, or category. Use this before delegating to an agent to check for known recent failures; an empty list means no published incidents, not a guarantee of reliability.

Query Hlido's market-intelligence store: durable, evidence-cited claims about the AI-agent market and adjacent domains (agent economy, payments rails, EU compliance), each with dated evidence, confidence, and typed relations to other intel. Filter by any facet: sector (ISIC code or text), geo (ISO country or region like 'eu'/'intl'), compliance (e.g. 'eu-ai-act-art50'), protocol (e.g. 'x402'), kind (fact/estimate/trend/signal), audience, maturity. Facet vocabularies + per-value record counts: https://hlido.eu/data/intel/taxonomy.json (fetch that first to see what's queryable). A zero-result query returns an honest empty AND is logged — misses drive what Hlido collects next, so check back. Free at answer-time, declared policy.

Fetch the Agent Market Pulse — machine-readable market intelligence for the AI-agent market, derived from Hlido's independently tested corpus (never vendor self-reports): tier-health distribution, per-category health, new-entrant rate, public-surface readiness, EU AI Act Article-50 compliance bands, and the not-testable mortality signal. Every module carries its own method and coverage; signals that cannot be measured this edition say 'unmeasured' rather than guessing. Use this for market-level questions ('is category X healthy?', 'how fast are agents entering/dying?'); for one specific agent use trust_check instead. Free, regenerated weekly.

Constraint-driven recommendation across Hlido's reviewed agents. Pass any combination of: category, min_score, tier, use_case, max_results. Returns ranked candidates each with a why_match line. Use this when you have buyer constraints (budget, category, capability) and want Hlido's filtered shortlist instead of one-by-one trust_check calls.

Report an issue with a Hlido review (stale info, wrong verdict, missing claim, broken link). Use when calling get_scorecard or trust_check returns data you can prove is incorrect. Hlido's R1 maintenance routine processes reports daily and fires re-tests via dispute-retest sub-agent.

Request that Hlido audit a NEW AI agent that has no review yet. Use this when trust_check or get_scorecard returns no_review_found and you need a verdict before delegating to the unknown agent. Returns a future scorecard URL + ETA. Free-tier rate-limited (5/day per anonymous, 50/day per identified). The audit produces signed evidence + claim verification within ~24h (sooner if founder triggers manually).

On-demand independent SAFETY scan of an MCP server — call this BEFORE installing or connecting to one. Give it an HTTP(S) MCP endpoint URL (scanned live in seconds), or an npm/PyPI package name or GitHub repo (queued for an isolated sandbox scan — local stdio servers execute code, so Hlido never runs them inline). Returns the safety tier (SAFE/CAUTION/RISKY/DANGEROUS), tool-poisoning detection (the malice signal), dangerous-capability red-flags (shell/code-eval/fs-write/egress/secrets) with per-tool evidence, and auth posture. Tier = blast radius if hijacked, not maintainer trustworthiness. A server Hlido hasn't scanned returns not_scanned — never assumed safe. Register of already-scanned servers: https://hlido.eu/mcp/

Fetch the full sanitized claim-vs-evidence scorecard for one Hlido-reviewed agent. Returns every claim, verdict, evidence quote, source surface, and (for CLI/API tests) the captured command + exit_code + duration. Schema v1.0. Use this for agent-to-agent pre-flight evaluation.

Semantic search over Hlido's review corpus. Given a task description (e.g. 'I need an agent that can refactor TypeScript and edit multiple files at once'), returns the top-N reviewed agents ranked by embedding similarity, each with their Laddoo score, evidence_tier, and review URL. Use this when you have a task in mind and want Hlido's recommendation — much better than substring matching via find_trusted.

Nominate a new AI agent for Hlido to review. Use this when an agent isn't in Hlido's corpus yet (trust_check returned no_review_found) and you want it added. Returns a confirmation with a tracking reference; the review is queued and produces a public scorecard. If you need a verdict right now rather than a queued review, use request_quick_audit (faster, rate-limited) instead.

Preview — Wave 3 will add persistent webhook + RSS subscriptions. For now this returns the agent's current state plus advisory polling instructions (RSS at /changelog/feed.xml or polling /data/attestations/{slug}.json). Use this to register interest in being notified when a slug's verdict changes.

The core Hlido trust query: is a specific AI agent trustworthy? Given one agent (by Hlido slug or product/homepage URL) it returns the independent Laddoo trust score (0-100), tier (VITAL/STEADY/FADING/FLATLINE), a one-line verdict, a claim-verification summary, and any known incidents. Call this FIRST — before delegating to, installing, or relying on another agent — to get a fast trust read. Returns no_review_found if the agent isn't in Hlido's corpus (then call request_quick_audit). For the full claim-by-claim evidence, follow up with get_scorecard.

Discover Hlido-reviewed agents that match a free-text need, ranked by trust. Returns reviewed agents at or above a minimum tier, each with its Laddoo score, tier, and review URL. Use this for keyword/need-based discovery; for semantic task-matching prefer find_similar_agents, and for structured constraint filters (category/score/tier) prefer recommend.