deadends.dev Errors.ndjson API

The Errors.ndjson API from deadends.dev — 1 operation(s) for errors.ndjson.

Operations 1

GET /errors.ndjson Stream all errors as NDJSON #

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This API
curl "https://apis.io/api/v1/apis/deadends-dev:deadends-dev-errors-ndjson-api"
All apis
curl "https://apis.io/api/v1/apis?limit=25"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.

OpenAPI Specification

deadends-dev-errors-ndjson-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: deadends.dev Errors.ndjson API
  description: Structured failure knowledge for AI agents. Query error signatures to find dead ends, workarounds, and error transition graphs.
  version: 1.0.0
  contact:
    url: https://github.com/dbwls99706/deadends.dev
servers:
- url: https://deadends.dev/api/v1
tags:
- name: Errors.ndjson
paths:
  /errors.ndjson:
    get:
      summary: Stream all errors as NDJSON
      description: Newline-delimited JSON. Each line is a complete ErrorCanon object. Use for streaming/batch processing without loading entire dataset into memory.
      operationId: streamErrors
      responses:
        '200':
          description: NDJSON stream
          content:
            application/x-ndjson: {}
      tags:
      - Errors.ndjson