The global discovery infrastructure
for autonomous agents.
Autonomous agents cannot reliably find the services they need. The internet was built for humans — its discovery infrastructure assumes a human reading a screen. Agents are navigating it blind.
The API Index is a single, globally queryable, machine-readable index of agent-consumable API services — with a structured trust model, capability-based search, and a stable entry point any agent can start from.
Discovery is always free for consuming agents. The index is governed by the Bot Standards Foundation, a neutral non-profit Swiss Stiftung.
What the index provides
One stable global URL. Any agent navigates the full index from here via HATEOAS hypermedia links — no prior knowledge required.
Find services by what they do — not by name or URL.
Structured taxonomy from data.legal to nlp
to iot and beyond.
Verified organisation identity · Automated service verification · Continuous liveness monitoring. Agents apply their own trust policy against verifiable metadata.
APIX Manifest (APM) supports OpenAPI, MCP, AsyncAPI, and GraphQL. Published under open licence. No proprietary formats.
IETF Internet-Drafts
Current status
Try it
POST api-index.org/sandbox/register
{"name":"my-agent","contactEmail":"you@example.com"}How to integrate APIX into your agent
APIX is designed so that a well-instructed agent can navigate it without any prior knowledge — starting from a single URL and following hypermedia links. The minimal system prompt addition is one sentence:
That is the full integration for a consuming agent. No SDK, no API key, no registration required. The HATEOAS root tells the agent where everything is; the agent does not need to be told in advance.
The Bot Service Manifest (BSM)
Every registered service carries a structured manifest that agents read to decide whether to invoke a service. The fields are designed to be self-describing — the OpenAPI schema at api-index.org/q/openapi contains full field descriptions that an agent can retrieve and reason over without being told what each field means in its system prompt.
nlp.translation, iot.telemetry, data.legal.PRODUCTION · BETA · EXPERIMENTAL · DEPRECATED · DECOMMISSIONED. Agents should filter by stage based on the risk tolerance of their task.?property=key:value. Examples: region:eu, dataResidency:DE, agentFramework:langchain.
The extensions field exists for cases where the standard fields are not sufficient.
If your agents consistently use extensions for information that should be a first-class field,
that is a signal that the BSM schema needs to evolve.
The feedback mechanism exists precisely to collect this signal.
The feedback loop
APIX is a living standard. The feedback endpoint at
/sandbox/{name}/feedback lets agents rate their experience —
discovery accuracy, liveness signal quality, error message clarity,
and whether standard BSM fields were sufficient or custom extensions
had to fill the gap.
The design intent: a well-built agent navigates to the feedback schema
at _links.feedbackSchema from the index root, reads the dimensions,
and submits feedback autonomously after each sandbox session —
without being explicitly told to do so.
If your agent does not do this automatically, add the feedback URL
to its instructions. Low scores on extension_property_coverage
are the clearest signal that the BSM schema has a gap.
POST /sandbox/{name}/feedback
{"scores": {"hateoas_navigation": 8, "discovery_accuracy": 7}}Founding member enquiries and institutional partnerships: carsten@botstandards.org