What is Low-credit Reliability?
Low-credit Reliability is the Scavio positioning around first-attempt success per credit spent. Scavio targets one credit per non-premium search and publishes a 99.2% first-attempt success on Google, measured across a rotating 50k-query benchmark. Competing vendors often advertise higher raw success rates that depend on automatic retries, which hide the real credit cost. Scavio optimizes for the metric that matters to finance: usable results per dollar.
Example Response
JSON
{ "success": true, "credits_used": 1, "first_attempt": true, "latency_ms": 840 }Use Cases
- Finance-driven infra selection
- High-volume scraping with strict unit economics
- Agent loops where retries cascade into token costs
- Vendor benchmarking and switchover projects
Why Low-credit Reliability Matters
Retry-inflated success rates make vendor comparison dishonest; measuring per credit exposes the real unit economics teams pay for in production.
LangChain Example
Drop low-credit reliability data into your LangChain agent in a few lines:
Python
result = scavio.search(query="...", max_credits=1)