Echoloc

Echoloc is a company‑intelligence platform that helps B2B sales, research, and partnership teams discover and understand companies by the technologies they use, the problems they solve, and the projects they are building. It aggregates public signals such as hiring data, tech stacks, and company‑issued research to provide evidence‑based technographic and intent data via an API for enrichment and data licensing.

Echoloc publishes 2 API contracts indexed on the APIs.io network, including API API, and 1 more. Tagged areas include B2B, Data, Intelligence, and Technographics.

The Echoloc catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Echoloc’s developer surface includes documentation, API reference, pricing, and 22 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

34.7/100 thin Agent 30/100 agent ready Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 1 MCP Servers 1 Agent Skills

B2B Data Intelligence Technographics

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 34.7/100 · thin

Contract Quality 12.1 / 21

Developer Ergonomics 4.8 / 17

Access Clarity 5.4 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 4.5 / 9

Regulatory Posture 2.8 / 15

Agent readiness — 30/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Developer Ergonomics scores 28.0 — up to +14.4 composite points
Access Clarity scores 31.6 — up to +13.7 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/echoloc-ai/apis.yml: open an issue on github.com/api-evangelist/echoloc-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OpenAPI

measured — observed by APIs.io (published)

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

echoloc

Company intelligence API

echoloc API API

Company intelligence API — technographics with adoption context (adopting / replacing / evaluating), hiring activity, and firmographics for 800K+ companies. External clients use...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Echoloc MCP Server

Remote MCP server at api.echoloc.ai.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

get-company

AGENT SKILL

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Echoloc Ai Context

23 classes · 71 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Echoloc API Rules

50 rules · 39 errors 7 warnings 4 info

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

CorporateCompany

18 properties

JSON SCHEMA

ExportV2Request

13 properties

JSON SCHEMA

SaveFromSearchV2Request

14 properties

JSON SCHEMA

SearchV2Request

16 properties

JSON SCHEMA

TechSearchRequest

9 properties

JSON SCHEMA

TechSearchResponse

11 properties

JSON SCHEMA

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Echoloc Ai Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

DeveloperPortal

DeveloperPortal

Documentation 4

Reference material describing how the API behaves

Documentation

APIReference

Documentation

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

MCPServer

MCPServer

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

Conformance

DataModel

ErrorCatalog

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 6

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Pricing

TermsOfService

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: echoloc-ai
name: Echoloc
description: Echoloc is a company‑intelligence platform that helps B2B sales, research, and partnership teams discover and
  understand companies by the technologies they use, the problems they solve, and the projects they are building. It aggregates
  public signals such as hiring data, tech stacks, and company‑issued research to provide evidence‑based technographic and
  intent data via an API for enrichment and data licensing.
url: https://artifacts.apis.io/echoloc-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-06 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.20'
created: '2026-11-06'
modified: '2026-11-06'
tags:
- B2B
- Data
- Intelligence
- Technographics
tags_raw:
- B2B
- Data
- Intelligence
- Technographics
- API
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/echoloc-ai-rules.yml
- type: JSONLD
  url: json-ld/echoloc-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/echoloc-ai-vocabulary.yml
- type: Conformance
  url: conformance/echoloc-ai-conformance.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/echoloc-ai-data-model.yml
- type: ErrorCatalog
  url: errors/echoloc-ai-problem-types.yml
- type: LLMsTxt
  url: llms/echoloc-ai-llms.txt
- type: MCPServer
  url: mcp/echoloc-ai-mcp.yml
- type: Hosts
  url: hosts/echoloc-ai-hosts.yml
- type: Vendors
  url: vendors/echoloc-ai-vendors.yml
- type: DomainSecurity
  url: security/echoloc-ai-domain-security.yml
- type: Website
  url: https://echoloc.ai/
- type: DeveloperPortal
  url: https://echoloc.ai/developers
- type: Documentation
  url: https://echoloc.ai/about/
- type: APIReference
  url: https://echoloc.ai/api
- type: Pricing
  url: https://echoloc.ai/pricing
- type: TermsOfService
  url: https://echoloc.ai/terms
- type: PrivacyPolicy
  url: https://echoloc.ai/privacy
- type: DeveloperPortal
  url: https://echoloc.ai/developers
- type: Documentation
  url: https://echoloc.ai/about/
- type: APIReference
  url: https://echoloc.ai/api
- type: Pricing
  url: https://echoloc.ai/pricing
- type: TermsOfService
  url: https://echoloc.ai/terms
- type: PrivacyPolicy
  url: https://echoloc.ai/privacy
apis:
- name: echoloc
  description: Company intelligence API
  humanURL: https://echoloc.ai/developers
  baseURL: https://api.echoloc.ai
  aid: echoloc-ai:echoloc
- aid: echoloc-ai:echoloc-api-api
  name: echoloc API API
  description: 'Company intelligence API — technographics with adoption context (adopting / replacing / evaluating), hiring
    activity, and firmographics

    for 800K+ companies. External clients use the Corporate API under /api/corporate/v1 (X-API-Key auth); docs: https://echoloc.ai/developers.

    Self-serve beta keys (100'
  humanURL: https://echoloc.ai/llms.txt
  baseURL: https://api.echoloc.ai
  properties:
  - type: OpenAPI
    url: openapi/_original/echoloc-ai-api-openapi.json
  - type: JSONSchema
    url: json-schema/echoloc-ai-corporate-company-schema.json
  - type: JSONSchema
    url: json-schema/echoloc-ai-search-v2-request-schema.json
  - type: JSONSchema
    url: json-schema/echoloc-ai-save-from-search-v2-request-schema.json
  - type: JSONSchema
    url: json-schema/echoloc-ai-export-v2-request-schema.json
  - type: JSONSchema
    url: json-schema/echoloc-ai-tech-search-request-schema.json
  - type: JSONSchema
    url: json-schema/echoloc-ai-tech-search-response-schema.json
x-enrichment:
  date: '2026-11-06'
  status: enriched
  artifacts_added: 15
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Echoloc API — frequently asked questions

Does Echoloc have an API?

Yes. APIs.io lists 2 APIs from Echoloc, including echoloc and echoloc API API.

Is there an OpenAPI specification for the Echoloc API?

Yes. APIs.io indexes 1 OpenAPI specification for Echoloc, each linked for download from this page.

Does Echoloc have an MCP server?

Yes. APIs.io lists 1 MCP server for Echoloc: Remote MCP server at api.echoloc.ai.

Is the Echoloc API ready for AI agents?

Echoloc has a Kin Score of 34.7 out of 100 (thin) and an Agent Readiness score of 30.0 (agent-ready), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider 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 providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
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.

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