# Chatter Research

**Canonical:** https://apis.io/providers/chatter-research/  
**Website:** https://chatterresearch.com  
**APIs profiled:** 0

Chatter Research (now Chatter by Stingray) is a customer feedback and experience management platform built for modern retailers. It engages shoppers in AI-driven conversational text-message and QR-code surveys that deliver higher response rates and real-time feedback, then uses the Stingray-Chatter AI (trained on 7000+ retail topics) to categorize free-text replies into topics and sentiment. Role-based dashboards surface NPS/CSAT, benchmarks, topic explorers, and NPS boosters so store teams can save lost sales, drive loyalty enrollment, and generate online reviews. Founded in 2016 and acquired by Stingray, the company is a former 500 Global portfolio company. The product is a SaaS dashboard with a help center and CSV data exports; it publishes no public developer API at this time.

## Kin Score — 15.2 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 15.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 16.7 |
| Commercial Clarity | 34.2 |
| Access Clarity | 34.2 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Chatter Research Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Customer Feedback, Customer Experience, Surveys, Voice of Customer, Retail, NPS, Sentiment Analysis

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/chatter-research/). Scores are computed from the provider's own public artifacts under a published rubric.