Prompt

I need a voice API that supports STIR/SHAKEN and consent controls. What should I look for?

Technology / API Platforms1 observationLast seen Oct 14, 2026

Latest observation

Oct 14, 2026OpenAI APIWeb search: off

If you need a voice API with STIR/SHAKEN and consent controls, look for a provider that can cover call authentication, caller ID reputation, and regulatory consent management end to end.

What to look for

1) STIR/SHAKEN support

Make sure the API or platform can:

  • Sign outbound calls with STIR/SHAKEN attestation
  • Support caller ID verification / branded calling where available
  • Provide details on:
    • Attestation level (A, B, C)
    • Whether they support origination only or also termination
    • How they handle non-IP / gateway / legacy routes
  • Give you visibility into:
    • Whether calls are being signed successfully
    • Verification outcomes on inbound calls, if relevant

2) Consent management

For consent controls, look for features that let you:

  • Capture and store consent timestamps and sources
  • Enforce opt-in / opt-out rules by number, contact, campaign, and channel
  • Manage Do Not Call / suppression lists
  • Support timezone-aware calling windows
  • Log and audit:
    • When consent was obtained
    • Which campaign it applied to
    • How revocation is handled
  • Offer API endpoints for:
    • Adding/removing consent
    • Checking consent before dialing
    • Recording revocations instantly

3) Compliance tooling

A good voice API should help with:

  • TCPA / consent compliance
  • A2P / robocall regulations
  • Caller ID display rules
  • Jurisdiction-specific calling restrictions
  • Audit logs and exportable records

4) Call reputation and deliverability

Even with STIR/SHAKEN, delivery matters. Look for:

  • Number reputation monitoring
  • Spam label mitigation
  • Branded calling / verified caller ID
  • Tools for managing:
    • High call volume
    • Complaint rates
    • Answer rates and block rates

5) API and workflow fit

Check whether the platform offers:

  • REST APIs and webhooks for consent and call events
  • Programmable outbound dialing with policy checks
  • Contact-level and campaign-level controls
  • Role-based access control and audit trails
  • Sandbox/test environment for compliance flows

Questions to ask vendors

  • Do you support STIR/SHAKEN signing for all outbound numbers?
  • What attestation levels do you provide, and how are they determined?
  • Can I prove consent with audit logs and timestamps?
  • Can the API block calls automatically when consent is missing or revoked?
  • Do you support suppression lists and DNC scrubbing?
  • How do you handle branded caller ID and spam labeling?
  • What compliance certifications or legal support do you provide?
  • Can I set calling windows by local time zone?
  • Do you support revocation propagation in real time?
  • How do you support enterprise governance and auditing?

Red flags

Avoid providers that:

  • Only mention “compliance” without specific consent controls
  • Don’t document STIR/SHAKEN behavior clearly
  • Can’t explain attestation, signing, or verification
  • Lack audit logs or suppression-list APIs
  • Don’t support calling-window enforcement

Practical shortlist criteria

A strong fit should have:

  • STIR/SHAKEN signing
  • Consent capture and enforcement APIs
  • DNC/suppression list management
  • Audit logs and reporting
  • Reputation/branded caller tools
  • Webhooks for real-time policy enforcement

If you want, I can also help you turn this into a vendor evaluation checklist or suggest specific voice API providers that commonly support these requirements.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.