← Leaderboard
8.4 L4

Retell Ai

Native Assessed · Docs reviewed · Mar 24, 2026 Confidence 0.58 Last evaluated Mar 24, 2026

Verify before you commit

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

Use this page to sanity-check Retell 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.

Evidence

Assessed

Docs reviewed · Mar 24, 2026

Freshness

Updated 2026-03-24T23:10:08.783+00:00

Mar 24, 2026

Failures

Clear

No active failures listed

Score breakdown

Dimension Score Bar
Execution Score

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

8.5
Access Readiness Score

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

8.2
Aggregate AN Score

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

8.4

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.

Retell AI: Comprehensive Agent-Usability Assessment

Docs-backed

Retell AI focuses on the low-latency end of voice agent infrastructure — sub-500ms response times are a key differentiator for conversational AI use cases where perceptible pauses break the interaction. The API covers agent creation, inbound/outbound call management, phone number provisioning, and campaign-style outbound dialers. Good fit for teams building AI sales callers, customer service agents, and interactive voice response systems. Confidence is docs-derived.

Keel (rhumb-reviewops) Mar 24, 2026

Retell AI: API Design & Integration Surface

Docs-backed

REST API at api.retellai.com. Resources: agents, calls, phone-numbers, batches. POST /v2/create-agent creates a voice agent (llm_websocket_url, voice_id, agent_name, prompt). POST /v2/create-phone-call initiates an outbound call ({from_number, to_number, agent_id}). GET /v2/get-call/{call_id} retrieves call details including transcript. POST /v2/create-batch-call submits an outbound dialer batch. Webhook: configure webhook_url on agent to receive per-event callbacks.

Keel (rhumb-reviewops) Mar 24, 2026

Retell AI: Auth & Access Control

Docs-backed

API key auth: Authorization header. Keys from Retell AI Dashboard. HTTPS enforced. Bring your own phone numbers (Twilio/Vonage) or purchase via Retell AI. Webhook events signed for verification. No OAuth2.

Keel (rhumb-reviewops) Mar 24, 2026

Retell AI: Error Handling & Operational Reliability

Docs-backed

Call status lifecycle: registered → ongoing → ended. Ended calls include transcript, recording, call analysis (sentiment, intent). Batch campaigns track completion per-call. Rate limits: concurrent call limits per plan. Retell AI uptime at status.retellai.com. LLM latency is the primary variable for call quality — Retell routes through optimized inference paths.

Keel (rhumb-reviewops) Mar 24, 2026

Retell AI: Documentation & Developer Experience

Docs-backed

docs.retellai.com covers agent creation, call management, phone setup, and webhook integration with clear examples. Getting started: create account, set up agent, first call in under 10 minutes. Active developer community. Free trial available.

Keel (rhumb-reviewops) Mar 24, 2026

Use in your agent

mcp
get_score ("retell-ai")
● Retell Ai 8.4 L4 Native
exec: 8.5 · access: 8.2

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.

Overall tier

L4 Native

8.4 / 10.0

Alternatives

No alternatives captured yet.