# Expected Parrot

**Canonical:** https://apis.io/providers/expected-parrot/  
**Website:** https://www.expectedparrot.com/  
**APIs profiled:** 0

Expected Parrot is a research-technology company building tools for AI-powered social science. Its open-source Python library EDSL (Expected Parrot Domain-Specific Language) lets researchers design, conduct, and analyze surveys and experiments in which large language models power simulated AI agents that answer questions, alongside or in place of human respondents. The Expected Parrot platform adds remote inference across many model providers (Anthropic, OpenAI, Google, Mistral, and more) via a single Expected Parrot API key, plus cloud storage, sharing, and collaboration for surveys, agents, scenarios, and results. It is used for market research, data labeling, digital twins, synthetic-user UX studies, and reproducible computational social science.

## Kin Score — 19.0 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 19.0).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 47.6 |
| Commercial Clarity | 6.6 |
| Access Clarity | 6.6 |

## Agent readiness — 12.8 (agent-aware)

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

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## Security (2)

- **Expected Parrot Authentication** — apiKey · 2 schemes
- **Expected Parrot Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Large Language Models, Surveys, Research, Social Science, Synthetic Data, AI Agents, Market Research, Python

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