Stop LLMs From Brute Forcing (Guessing) APIs

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TEKIR is an open standard that makes HTTP API responses self-explaining for AI agents. It provides structured metadata, enabling agents to understand API outcomes and act without guessing, reducing errors and improving reliability.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Stop LLMs from brute forcing (guessing) APIs?

TEKIR is an open standard designed to make HTTP API responses self-explaining for AI agents. It provides structured, machine-actionable HTTP response metadata, allowing AI agents to understand what happened, why, and what to do next for both successes and errors. This standard helps prevent agents from guessing API outcomes, reducing hallucinations and crashes. TEKIR is backwards compatible with existing HTTP APIs, extends RFC 9457 Problem Details, and is framework and language agnostic. It offers structured hints for automated agents, avoids breaking existing clients, and provides features like `reason`, `next_actions`, and `agent_guidance` fields in JSON responses. It also supports discovery through `tekir.json` and response headers, enabling agents to auto-detect TEKIR support and learn API surfaces.

Best used for

Ideal for developers who need to make their API responses self-explaining for AI agents, provide clear guidance for next actions, and reduce AI agent errors. Especially valuable for ensuring AI agents understand API outcomes without guessing, leading to more reliable and predictable automated interactions.

Common actions

explain API responses

guide AI agents

standardize API metadata

improve API reliability

Capabilities

Key features

Self-explaining API responses
Structured metadata for AI
Extends RFC 9457
Framework agnostic
API discovery mechanism
Machine-actionable next actions

Target Audience

developerdata scientistproduct manager

Integrations

claude-codecursor

Pricing & Plans

Open Source

FAQs

How does TEKIR help AI agents avoid guessing API responses?

TEKIR enriches HTTP API responses with structured metadata like 'reason', 'next_actions', and 'agent_guidance'. This allows AI agents to understand the exact outcome, why it occurred, and what steps to take next, eliminating the need for guesswork and reducing errors.

Is TEKIR compatible with existing HTTP APIs and frameworks?

Yes, TEKIR is designed to be backwards compatible with existing HTTP APIs and is framework and language agnostic. You can add TEKIR fields to your JSON responses regardless of the technology stack, and existing clients will safely ignore unknown fields.

How can AI agents discover TEKIR support and API details?

Agents can detect TEKIR support through response headers like 'TEKIR-Version' and 'TEKIR-Discovery'. The 'TEKIR-Discovery' header points to a static `tekir.json` document at the API root, which describes endpoints, authentication, rate limits, and which TEKIR fields each endpoint uses.

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