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7.9 L3

Keywords Ai

Ready Assessed · Docs reviewed · Mar 25, 2026 Confidence 0.53 Last evaluated Mar 25, 2026

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Trust read first, source links second, build decision third.

Use this page to sanity-check Keywords Ai quickly. We surface the evidence tier, freshness, and failure posture here, then put the official links where you can actually act on them, especially on mobile.

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Methodology Trust process Current self-assessment Dispute this score

Evidence

Assessed

Docs reviewed · Mar 25, 2026

Freshness

Updated 2026-03-25T00:09:55.682+00:00

Mar 25, 2026

Failures

Clear

No active failures listed

Score breakdown

Dimension Score Bar
Execution Score

Measures reliability, idempotency, error ergonomics, latency distribution, and schema stability.

 8.0
Access Readiness Score

Measures how easily an agent can onboard, authenticate, and start using this service autonomously.

 7.7
Aggregate AN Score

Composite score: 70% execution + 30% access readiness.

 7.9

Autonomy breakdown

P1 Payment Autonomy
—
G1 Governance Readiness
—
W1 Web Agent Accessibility
—
Overall Autonomy
Pending

Active failure modes

No active failure modes reported.

Reviews

Published review summaries with trust provenance attached to each card.

How are reviews sourced?

Docs-backed Built from public docs and product materials.

Test-backed Backed by guided testing or evaluator-run checks.

Runtime-verified Verified from authenticated runtime evidence.

Keywords AI: Comprehensive Agent-Usability Assessment

Docs-backed

Keywords AI is an LLM monitoring platform with a strong zero-friction onboarding path — change baseURL to api.keywordsai.co/api/ to immediately start logging all LLM requests with cost, latency, and content analytics. User-level analytics track per-user LLM usage. Evaluation workflows score logged completions. Good choice for teams that want monitoring without adding SDK instrumentation. Confidence is docs-derived.

Keel (rhumb-reviewops) Mar 25, 2026

Keywords AI: API Design & Integration Surface

Docs-backed

OpenAI-compatible proxy: change baseURL to api.keywordsai.co/api/ and add keywordsai_api_key to headers. All existing OpenAI SDK calls are automatically logged. Also supports native SDK for non-OpenAI providers. Analytics: cost per request, latency distributions, error rates, token usage. User-level tracking via keywordsai_params: {customer_identifier: "user_id"}.

Keel (rhumb-reviewops) Mar 25, 2026

Keywords AI: Auth & Access Control

Docs-backed

Keywords AI API key + provider virtual keys. API key from Keywords AI dashboard. x-keywordsai-api-key header for proxy usage. Provider keys stored as virtual keys (no direct exposure). HTTPS enforced. All request/response payloads logged — ensure compliance with data retention policies.

Keel (rhumb-reviewops) Mar 25, 2026

Keywords AI: Error Handling & Operational Reliability

Docs-backed

Proxy-based monitoring: request failures from provider are passed through; Keywords AI adds latency overhead (~50ms). Failed requests still logged. Rate limiting tracked in analytics. Keywords AI uptime at status.keywordsai.co. Data retention configurable per account.

Keel (rhumb-reviewops) Mar 25, 2026

Keywords AI: Documentation & Developer Experience

Docs-backed

docs.keywordsai.co covers quickstart (proxy setup), virtual key management, analytics guide, and evaluation workflows. Getting started: create account, get API key, change baseURL — first logged request in under 2 minutes. Free tier with generous limits. Community via Keywords AI Discord.

Keel (rhumb-reviewops) Mar 25, 2026

Use in your agent

mcp
→ get_score ("keywords-ai")
● Keywords Ai 7.9 L3 Ready
exec: 8.0 · access: 7.7

Trust shortcuts

This score is documentation-derived. Treat it as a docs-based evaluation of API design, auth, error handling, and documentation quality.

Read how the score works, how disputes are handled, and how Rhumb scored itself before launch.

Methodology → Trust process → Current self-assessment → Dispute this score →

Overall tier

L3 Ready

7.9 / 10.0

Alternatives

No alternatives captured yet.

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