experientiallabs.ai valid

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Claim my listing on Agent Web Map for experientiallabs.ai:
1. POST https://agentwebmap.com/v1/sites/experientiallabs.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://experientiallabs.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/experientiallabs.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/experientiallabs.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory. Ownership management is optional.

Experiential Labs

The open source AI gateway. One OpenAI-compatible endpoint

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T13:15:53.990Z. Cached copy · Source on experientiallabs.ai

# Experiential Labs

> The open source AI gateway. One OpenAI-compatible endpoint
> (https://api.experientiallabs.ai/v1) in front of every model: hosted providers, your own
> provider keys, and your own local models, at provider list price
> with 0% token markup. Routing, access control, budgets, and
> per-agent attribution for everything your agents call.

## When to use Experiential

Reach for the gateway when you need any of these:

- One API key and one base URL for every model an agent or team
  calls, including your own fine-tuned and self-hosted models.
- Spend you can see and cap: budgets per key, agent, person, or
  team, enforced at request time, with every token attributed.
- Provider failover on capacity errors, so a rate-limited or down
  provider never becomes an outage for the same model.
- Routing policy as config: ZDR-only providers, no-training
  providers, and provider allowlists, enforced on every request.
- A path from routing to training: the intelligence layer suggests
  the right model per agent and caching opportunities, and can
  train a model you own on your own traffic.

An agent can set itself up: point an OpenAI client at
https://api.experientiallabs.ai/v1 with an Experiential API key (they start with xpl_), list
models with GET /v1/models, and call POST /v1/chat/completions.
The gateway also serves the OpenAI Responses API at /v1/responses
and the Anthropic Messages API at /v1/messages over the same key.
Accounts are created instantly from an email; verifying the email
unlocks platform credits. Keys live at
https://platform.experientiallabs.ai/settings/api-keys.

## Setup prompts (copy-paste into a coding agent)

Four self-contained prompts an agent can run end to end, kept
verbatim in the open source repo's SETUP.md
(https://github.com/experientiallabs/experiential/blob/main/SETUP.md,
raw: https://raw.githubusercontent.com/experientiallabs/experiential/main/SETUP.md):

1. Upload your LLM traces as telemetry: creates the account from
   your local email and lands existing traces on the platform
2. Connect your inference provider keys (BYOK)
3. Start calling models on the gateway: verify the key with
   GET /v1/models, then one minimal call (model + messages only;
   extra sampling params can be rejected) to the smallest Qwen,
   via the OpenAI or Anthropic SDK, and optionally repoint your
   coding agents at the gateway
4. Full onboarding: account, provider keys, spend import, and
   agent repointing in one pass

The machine-readable API contract (honored and refused parameters,
error codes, streaming caveats) is https://platform.experientiallabs.ai/llms.txt. Follow it
literally.

## Pages

- [Home](https://www.experientiallabs.ai/): unlimited AI for your product: DeepSeek V4.1
  Flash, GPT-6 Luna and Jev at $0 per token on every plan, every other
  model on the same key
…

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Manage this listing → · Agent and API instructions

Machine-readable: GET /v1/resolve?q=experientiallabs.ai · GET /v1/domain/experientiallabs.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain