# Timepoint AI

## Docs

- [Accessibility](https://docs.timepointai.com/accessibility.md): Timepoint AI accessibility conformance statement — WCAG 2.1 Level A.
- [Authentication](https://docs.timepointai.com/api-reference/authentication.md): How to authenticate with the Timepoint APIs.
- [Clockchain API](https://docs.timepointai.com/api-reference/clockchain.md): Query the temporal causal graph — public read access, no authentication required.
- [Clockchain Pricing & Metering](https://docs.timepointai.com/api-reference/clockchain-pricing.md): How the hosted Clockchain graph is metered — open source, free self-hosting, transparent per-TDF-record billing on the canonical hosted graph.
- [Flash API](https://docs.timepointai.com/api-reference/flash.md): Render grounded historical moments via the 14-agent pipeline.
- [Gateway](https://docs.timepointai.com/api-reference/gateway.md): API Gateway — auth, credits, user management, and request routing.
- [MCP Server](https://docs.timepointai.com/api-reference/mcp.md): Clockchain MCP interface for AI agent frameworks.
- [API Overview](https://docs.timepointai.com/api-reference/overview.md): Overview of the Timepoint AI APIs — Gateway, Flash, Clockchain, and Billing.
- [Core Concepts](https://docs.timepointai.com/concepts.md): Key concepts in the Timepoint ecosystem — timepoints, SNAG, temporal modes, and the Clockchain.
- [Errors & Troubleshooting](https://docs.timepointai.com/errors.md): HTTP status codes, error shapes, rate limit headers, and a decision tree for common Timepoint API failures.
- [Introduction](https://docs.timepointai.com/introduction.md): Timepoint AI — infrastructure for temporal reasoning. Render the past. Simulate the future. Score the predictions. Accumulate the graph.
- [Conductor App Store](https://docs.timepointai.com/products/app-store.md): Focused apps that extend the Timepoint Conductor — each one teaches the natural-language operator a new job, from modeling a prediction market to simulating a public X account. Available in the authenticated web app.
- [Clockchain](https://docs.timepointai.com/products/clockchain.md): Persistent temporal causal graph — PostgreSQL-backed directed graph that grows autonomously.
- [Timepoint Flash](https://docs.timepointai.com/products/flash.md): The Reality Writer — renders grounded historical moments via a 14-agent critique-loop pipeline.
- [Prediction Market](https://docs.timepointai.com/products/prediction-market.md): A Conductor app: paste a Polymarket or Kalshi market and the Conductor models the outcomes with a Timepoint simulation, showing the model's probability read — with honest uncertainty bands — alongside the market's implied odds.
- [Proteus](https://docs.timepointai.com/products/proteus.md): Prediction market protocol on BASE L2 — stake ETH on exact text predictions, settled by on-chain Levenshtein distance.
- [SNAG-Bench](https://docs.timepointai.com/products/snag-bench.md): Temporal reasoning benchmark — 60 adversarial tasks, 5 scoring axes, designed to stay hard through 2030.
- [TDF (Timepoint Data Format)](https://docs.timepointai.com/products/tdf.md): JSON-LD interchange format connecting all Timepoint services. Content-addressed via SHA-256.
- [X Accounts](https://docs.timepointai.com/products/x-accounts.md): A Conductor app: model a public X (Twitter) account from its real posts, then simulate its likely next posts or stance on a topic — every output clearly labelled as a simulation, public figures and your own accounts only.
- [Quickstart](https://docs.timepointai.com/quickstart.md): Get started with Timepoint AI — render your first historical moment in minutes.

## OpenAPI Specs

- [openapi](https://docs.timepointai.com/api-reference/openapi.json)