Datasift

DataSift provides a real‑estate data platform that aggregates, enriches, and delivers property‑related information to developers, marketers, and analysts. Their APIs enable access to property listings, transaction histories, market trends, and predictive analytics, helping users build applications for property search, valuation, and market intelligence. DataSift focuses on delivering high‑quality, up‑to‑date real‑estate data across multiple regions, with robust documentation and developer support.

Datasift is profiled on the APIs.io network. Tagged areas include Real Estate, Data Platform, Marketing, and Analytics.

Datasift’s developer surface includes documentation, engineering blog, pricing, support, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.9/100 emerging ▲ 6.9 Agent 0/100 human only Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessPaid

0 APIs

Real Estate Data Platform Marketing Analytics

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 22.9/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 11.2 / 17

Operational Transparency 1.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.6 / 9

Regulatory Posture 2.1 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

13 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 16.7 — up to +16.7 composite points Ask about this →
Contract Governance scores 0.0 — up to +12.0 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/datasift/apis.yml: open an issue on github.com/api-evangelist/datasift 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 →

Datasift API pricing

Prices published by Datasift.

Plan	Price
Professional	$149/monthly
Business	$299/monthly
Expert	$499/monthly

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Datasift Plans Pricing

3 plans

PLANS

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Datasift

8 quoted statements, read from Datasift's own page on 2026-11-09.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Datasift

17 quoted statements, read from Datasift's own page on 2026-11-09.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Datasift

1 quoted statement, read from Datasift's own page on 2026-11-09.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

Datasift

1 quoted statement, read from Datasift's own page on 2026-11-09.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Datasift

1 quoted statement, read from Datasift's own page on 2026-11-09.

LICENSE

Security Posture 1

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

Datasift Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

AIPreferences

AIPreferences

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Access & Security 3

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 6

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

UsageTerms

DataLicense

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 4

Properties that don't map to a standard resource type

Hosts

Vendors

DataProcessing

Eligibility

Source (apis.yml)

aid: datasift
name: Datasift
description: DataSift provides a real‑estate data platform that aggregates, enriches, and delivers property‑related information
  to developers, marketers, and analysts. Their APIs enable access to property listings, transaction histories, market trends,
  and predictive analytics, helping users build applications for property search, valuation, and market intelligence. DataSift
  focuses on delivering high‑quality, up‑to‑date real‑estate data across multiple regions, with robust documentation and developer
  support.
url: https://raw.githubusercontent.com/api-evangelist/datasift/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-22 (modular-v1; was harvest)
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  probe_state: blocked
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-10-22'
modified: '2026-10-22'
tags:
- Real Estate
- Data Platform
- Marketing
- Analytics
tags_raw:
- Real Estate
- Data Platform
- API
- Marketing
- Analytics
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/datasift-plans-pricing.yml
- type: LLMsTxt
  url: llms/datasift-llms.txt
- type: SecurityTxt
  url: well-known/datasift-intercom-security.txt
- type: SecurityTxt
  url: well-known/datasift-api-security.txt
- type: WellKnown
  url: well-known/datasift-well-known.yml
- type: Hosts
  url: hosts/datasift-hosts.yml
- type: Vendors
  url: vendors/datasift-vendors.yml
- type: Documentation
  url: https://developers.datasift.ai/
- type: DomainSecurity
  url: security/datasift-domain-security.yml
- type: Website
  url: https://www.datasift.ai
- type: Blog
  url: https://www.datasift.ai/blog
- type: Pricing
  url: https://www.datasift.ai/pricing
- type: TermsOfService
  url: https://www.datasift.ai/legal/terms-of-use
- type: PrivacyPolicy
  url: https://www.datasift.ai/legal/privacy-policy
- type: Support
  url: https://intercom.help/reisift/en/
- type: UsageTerms
  url: terms/datasift-terms-of-service.yml
- type: DataProcessing
  url: privacy/datasift-privacy-policy.yml
- type: Eligibility
  url: eligibility/datasift-eligibility.yml
- type: AIPreferences
  url: ai-preferences/datasift-ai-preferences.yml
- type: DataLicense
  url: data-license/datasift-data-license.yml
apis: []
x-coverage:
  state: blocked
  reason: robots-disallow
  detail: Unable to connect to datasift.com homepage (connection reset)
  evidence:
  - url: https://datasift.com
    status: connection_error
  checked: '2026-10-22'
x-enrichment:
  date: '2026-10-22'
  status: enriched
  artifacts_added: 11
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Datasift API — frequently asked questions

How much does the Datasift API cost?

Datasift publishes its prices; its Professional plan is $149/monthly as of 2026-10-22. APIs.io lists 3 pricing plans for Datasift, with each plan's price, limits and inclusions under Pricing on this page.

Is the Datasift API ready for AI agents?

Datasift has a Kin Score of 22.9 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-13.

Work with this as data

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MCP server

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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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Every operation they expose

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How their score was established

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