.txt
.txt (dottxt) is the structured-generation company behind the open-source Outlines library (65M+ downloads). Its hosted platform, the dottxt API at api.dottxt.ai, is an OpenAI-compatible pay-per-token API whose defining contract is schema enforcement: a JSON Schema passed in response_format is compiled and enforced by constrained decoding, so model outputs are guaranteed valid — including field-by-field RFC 6902 JSON Patch streaming, Open Responses support, embeddings, and JSONL batch processing. Founded by the Outlines maintainers and backed by Seedcamp; inference is operated with launch partner Doubleword.
.txt publishes 6 APIs on the APIs.io network, including batches API, chat API, embeddings API, and 3 more. Tagged areas include Company, Artificial Intelligence, LLM, Structured Outputs, and JSON-Schema.
.txt’s developer surface includes documentation, API reference, getting-started guide, signup flow, engineering blog, support, CLI, and 19 more developer resources.
Kin Score
APIs 6
Individual APIs this provider publishes, each with its own machine-readable definition.
.txt batches API
Process large volumes of requests asynchronously. Batch processing is ideal when you: - Have many requests that don't need immediate responses - Want to process data in bulk (e....
.txt chat API
Create model responses for chat conversations. Supports: - **Multi-turn dialogue** with conversation history - **System prompts** to control model behavior - **Tool calling** fo...
.txt embeddings API
Generate vector representations of text. Use embeddings for: - **Semantic search** - find content by meaning, not just keywords - **Clustering** - group similar documents togeth...
.txt files API
Upload and manage JSONL files for batch processing. Each line in the file should be a JSON object with: - `custom_id` - your identifier for tracking the request - `method` - HTT...
.txt models API
List and retrieve information about available models. Use these endpoints to discover which models you have access to and their capabilities.
.txt responses-api API
Create model responses with enhanced capabilities. Open Responses compatible endpoint providing advanced features: - **Reasoning models** - Control computational effort with `re...
Open Collections 7
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONdottxt batches API
OPEN COLLECTIONdottxt batches chat API
OPEN COLLECTIONdottxt batches embeddings API
OPEN COLLECTIONdottxt batches files API
OPEN COLLECTIONdottxt batches models API
OPEN COLLECTIONdottxt batches responses-api API
OPEN COLLECTIONScroll for all 7
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
.txt MCP Server
.txt (dottxt) publishes a hosted, unauthenticated MCP server for its documentation via Mintlify: the manifest at docs.dottxt.ai/.well-known/mcp.json (saved verbatim in well-know...
MCP SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type