# Turn-taking evals

Source: [Turn-taking evals](<https://www.sota2.com/products/the-agentic-data-company-turn-taking-evals>)

Collection index: [llms.txt](<https://www.sota2.com/products/llms.txt>)

Data updated: 2026-11-11T02:51:55.625Z

Private audio dataset in the company's speech-training dataset catalog.



Provider: [The Agentic Data Company](<https://www.sota2.com/companies/the-agentic-data-company.md>)

## Capabilities and recorded commercial facts

| Field | Recorded value |
| --- | --- |
| Use cases | Not recorded |
| Categories | AI Evaluation & Observability |
| Pricing model | Not recorded |
| Starting price | Not recorded |
| Free access or trial | Not recorded |
| Deployment | Not recorded |
| Integrations | Not recorded |
| Target users | Not recorded |

Prices and compliance entries are recorded provider information. Confirm the current plan, terms and deployment with the provider; missing information is not evidence of a missing capability.

## Task-specific rankings

## Alternatives to investigate

Related products may overlap on only part of a workflow. Read the task evidence and comparison before treating them as substitutes.

- [Tokenshire](<https://www.sota2.com/products/olam-labs-tokenshire.md>): Simulated town of AI agents running autonomously for long horizons, socializing and managing government, economy, and resources under constraints.

- [DataCenterBench](<https://www.sota2.com/products/robocurve-datacenterbench.md>): Evaluating robots on data-center construction tasks, including racking servers, routing cable, and the physical work behind the compute supply chain.

- [LLM evaluation](<https://www.sota2.com/products/openlayer-llm-evaluation.md>): Rigorous evaluation for GenAI and LLMs—test every prompt, trace every response, and validate every output.

- [Self Diagnostics](<https://www.sota2.com/products/raindrop-self-diagnostics.md>): Capability for agents to proactively report their own failures via SDK instrumentation.

- [MangoDesk](<https://www.sota2.com/products/mangodesk-mangodesk.md>): Evaluates and improves AI on meaningful use cases via production-grade RL environments, accelerating custom evals and post-training data creation.

- [Loss Analyses](<https://www.sota2.com/products/afterquery-loss-analyses.md>): Identifies where and why models fail in professional contexts through systematic study, pinpointing the precise failure modes and distributional gaps that inform dataset and env...

## Compare with alternatives

- [Turn-taking evals vs Tokenshire](<https://www.sota2.com/compare/products/olam-labs-tokenshire/the-agentic-data-company-turn-taking-evals.md>): Compare the recorded facts and check shared task coverage.

- [Turn-taking evals vs DataCenterBench](<https://www.sota2.com/compare/products/robocurve-datacenterbench/the-agentic-data-company-turn-taking-evals.md>): Compare the recorded facts and check shared task coverage.

- [Turn-taking evals vs LLM evaluation](<https://www.sota2.com/compare/products/openlayer-llm-evaluation/the-agentic-data-company-turn-taking-evals.md>): Compare the recorded facts and check shared task coverage.

- [Turn-taking evals vs Self Diagnostics](<https://www.sota2.com/compare/products/raindrop-self-diagnostics/the-agentic-data-company-turn-taking-evals.md>): Compare the recorded facts and check shared task coverage.

- [Turn-taking evals vs MangoDesk](<https://www.sota2.com/compare/products/mangodesk-mangodesk/the-agentic-data-company-turn-taking-evals.md>): Compare the recorded facts and check shared task coverage.

- [Turn-taking evals vs Loss Analyses](<https://www.sota2.com/compare/products/afterquery-loss-analyses/the-agentic-data-company-turn-taking-evals.md>): Compare the recorded facts and check shared task coverage.

## Recorded compliance claims

These are reported provider claims, not independent audits. Status labels describe the recorded claim only.

## Original provider information

[Official product website](<https://theagenticdatacompany.com/datasets/turn-taking-evals>)